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Pipeline run

c73fd215-a10d-4c65-a629-ab4c52242ed7

Pipeline LLM cost (USD)
API 1: $0.0050 API 2: $0.0007 API 3: $0.0000 Total: $0.0057

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Automation
Build AI/GTM automations and internal tools, including Voice AI agents, chatbots, and workflow integrations that streamline lead gen, outreach, customer engagement, and ops; then measure and iterate on their performance fast.
"Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms."
Tech stack maturity
Modern Cloud Native
The stack centers on modern API-driven development, AI coding tools, webhooks, and cloud-connected automation rather than legacy enterprise systems.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
4.20 / 5
Title match
Has AI skill
AI skill (primary)
· AI skill (secondary)
· On AI team
Builds AI products
"Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement."
vocab breakdown (legacy)
Assistants (×1): Claude, Cursor, Lovable
Frameworks (×2): LangChain
Models / concepts (×3): Anthropic, OpenAI, RAG, prompt engineering, multi-agent, MCP, Model Context Protocol, AI
Evidence — skills matched in JD (39)
Claude Code Lovable Codex Cursor Antigravity n8n Make Zapier LangChain OpenAI APIs Anthropic APIs JavaScript Python REST APIs JSON Webhooks Git GitHub AI Agents Voice Agents AI Chatbots AI Assistants Workflow Agents Multi-Agent Systems ElevenLabs +14
Skill cluster (7 dimension groups, role-scoped)
API Interface and Contract Design
JSON
External System Integrations
Webhooks
JavaScript and TypeScript
JavaScript
LLM Operations and Orchestration
LangChain
Networking and API Integration
REST APIs
Python Programming
Python
Cross-cutting / unaligned
Claude Code Lovable Codex Cursor Antigravity n8n Make Zapier OpenAI APIs Anthropic APIs Git GitHub AI Agents Voice Agents AI Chatbots AI Assistants Workflow Agents Multi-Agent Systems ElevenLabs Vapi Retell AI Bland AI Twilio LiveKit HubSpot Salesforce Zoho CRM Slack Google Workspace Microsoft 365 Prompt Engineering RAG MCP
Show KRA description ↓
Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement. Develop internal tools that improve Sales, Marketing, Customer Success, and Operations. Design and deploy Voice AI Agents for inbound/outbound customer interactions. Build prototypes and MVPs using AI-assisted development tools. Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms. Work closely with Product, Sales, and Leadership to identify automation opportunities. Integrate CRMs, communication platforms, AI models, and third-party SaaS applications. Rapidly experiment, iterate, and deploy growth initiatives. Measure performance of automations and continuously optimize them. AI Development Strong experience using AI code generation platforms such as: Claude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation Experience with tools like: n8n | Make | Zapier | LangChain | OpenAI APIs | Anthropic APIs | JavaScript or Python | REST APIs | JSON | Webhooks | Git/GitHub | AI Agents Hands-on experience building: Voice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems ✅ Built production-grade Voice AI Agents ✅ Experience with: ElevenLabs | Vapi | Retell AI | Bland AI | Twilio | LiveKit ✅ Experience integrating: HubSpot | Salesforce | Zoho CRM | Slack | Google Workspace | Microsoft 365 ♦ Builder mindset ♦ Strong problem-solving skills Ability to ship products quickly ♦ Comfortable experimenting with the latest AI technologies ♦ Excellent communication and cross-functional collaboration ♦ Curious, self-driven, and passionate about AI ► SaaS startup experience ► GTM automation experience ► AI product development ► Prompt engineering ► RAG applications ► MCP (Model Context Protocol) ► Experience deploying AI applications to production

Signals

Skill full-stack-engineer
0.11
Alias ai-engineer
1.00
KRA ai-engineer
0.56

Post-classification

Centroidupdated · n=43
Alias collision log
New-role queue
New skills captured23
New KRA captured

Captured for admin review

Lovable primary AI Engineer pending
Antigravity primary AI Engineer pending
n8n primary AI Engineer pending
Zapier primary AI Engineer pending
OpenAI APIs primary AI Engineer pending
Anthropic APIs primary AI Engineer pending
AI Agents primary AI Engineer pending
Voice Agents primary AI Engineer pending
AI Chatbots primary AI Engineer pending
AI Assistants primary AI Engineer pending
Workflow Agents primary AI Engineer pending
Multi-Agent Systems primary AI Engineer pending
ElevenLabs primary AI Engineer pending
Vapi primary AI Engineer pending
Retell AI primary AI Engineer pending
Bland AI primary AI Engineer pending
LiveKit primary AI Engineer pending
HubSpot primary AI Engineer pending
Zoho CRM primary AI Engineer pending
Slack primary AI Engineer pending
Google Workspace primary AI Engineer pending
Microsoft 365 primary AI Engineer pending
MCP AI Engineer pending
Status: completed Created: 2026-07-18T00:17:47.089950Z Updated: 2026-07-18T05:25:45.100025Z API 3 duration: 437 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

AI Engineer

CASE A

slug: ai-engineer · id: 13 · source: db

Exact alias hit on ai-engineer (1.0) — no other alias at this confidence; skill_top full-stack-engineer 0.11 does not contradict

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
3
Skipped

Job description

Job Title: AI GTM Engineer (AI Automation)



Location: 100% Remote

Department: Product Team

Employment Type: Full-time



About the Role

We are looking for a highly technical GTM Engineer to bridge the gap between Product, Sales, Marketing, and AI. This role is ideal for someone who enjoys building growth systems rather than just managing campaigns.



You'll leverage modern AI coding platforms and no-code/low-code tools to rapidly build automations, internal tools, customer-facing experiences, and AI agents that accelerate our go-to-market efforts.



This role is perfect for builders who can turn ideas into working products within hours instead of weeks.



Key Responsibilities:

Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.
Develop internal tools that improve Sales, Marketing, Customer Success, and Operations.
Design and deploy Voice AI Agents for inbound/outbound customer interactions.
Build prototypes and MVPs using AI-assisted development tools.
Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.
Work closely with Product, Sales, and Leadership to identify automation opportunities.
Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.
Rapidly experiment, iterate, and deploy growth initiatives.
Measure performance of automations and continuously optimize them.


Required Skills

AI Development



Strong experience using AI code generation platforms such as:

Claude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation



Experience with tools like:

n8n | Make | Zapier | LangChain | OpenAI APIs | Anthropic APIs | JavaScript or Python | REST APIs | JSON | Webhooks | Git/GitHub | AI Agents



Hands-on experience building:

Voice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems



Preferred Qualifications (Strong Plus)



✅ Built production-grade Voice AI Agents

✅ Experience with:

ElevenLabs | Vapi | Retell AI | Bland AI | Twilio | LiveKit



✅ Experience integrating:

HubSpot | Salesforce | Zoho CRM | Slack | Google Workspace | Microsoft 365



What We're Looking For:

♦ Builder mindset

♦ Strong problem-solving skills Ability to ship products quickly

♦ Comfortable experimenting with the latest AI technologies

♦ Excellent communication and cross-functional collaboration

♦ Curious, self-driven, and passionate about AI



Nice to Have

► SaaS startup experience

► GTM automation experience

► AI product development

► Prompt engineering

► RAG applications

► MCP (Model Context Protocol)

► Experience deploying AI applications to production



Education:

♦ Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Claude Code Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Claude Code id=1588 · claude-code

Aliases — catalog

  • Claude Code (CANONICAL)

Context tags (catalog)

AI assistant API integration automated testing code completion code generation code review debugging integrated development environment machine learning natural language processing programming languages real-time collaboration software development syntax highlighting version control

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Ai Coding Assistant Tool
Vendor
Anthropic
License
unknown
Year introduced
2023
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Appears in a growing number of engineering JDs and vendor docs as an AI coding assistant, but adoption is still far from universal compared with established IDE tools.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
1194
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Lovable Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Soft Skills
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Codex Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Codex id=1590 · codex

Aliases — catalog

  • Codex (CANONICAL)

Context tags (catalog)

AI assistant API integration GPT-3 OpenAI chatbot development code generation data analysis fine-tuning machine learning model training natural language processing prompt engineering software automation user interface version control

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Ai Assistant Tool
Vendor
OpenAI
License
proprietary
Year introduced
2021
Confidence
0.78
Version strategy
NOT_APPLICABLE

Maturity reasoning: Appears in growing JD/tooling mentions for AI coding assistants, but market is still fragmented and not yet a universal hiring staple like GitHub Copilot or AWS.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
1196
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cursor Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Cursor id=1589 · cursor

Aliases — catalog

  • Cursor (CANONICAL)

Context tags (catalog)

AI suggestions cloud integration code completion code snippets custom themes debugging tools intelligent refactoring keyboard shortcuts language support plugin ecosystem project management real-time collaboration syntax highlighting user interface version control

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Ai Code Editor
Vendor
Cursor
License
unknown
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Cursor is increasingly appearing in developer job posts and AI-tooling stacks, but it is not yet a universal hiring staple like VS Code or GitHub Copilot.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
1195
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Antigravity Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
n8n Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Workflow Automation Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Make Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Make id=818 · make

Aliases — catalog

  • Make (CANONICAL) primary

Context tags (catalog)

CMake GNU Make Makefile automation build automation build system compilation cross-platform dependency management incremental builds recipe rules script target toolchain

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Build Tool
Vendor
GNU
License
gpl_v3
Year introduced
1976
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Make is still a common build tool in JDs and widely shipped on Unix-like systems; it remains a standard dependency for C/C++ and legacy build pipelines rather than a niche or sunset tool.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
358
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Build and Packaging Tooling Catalog dimension db id 149

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer, Ionic Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Build and Packaging Tooling
build-and-packaging-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Zapier Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Workflow Automation Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
LangChain Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: LangChain id=240 · langchain

Aliases — catalog

  • LangChain (CANONICAL) primary

Context tags (catalog)

API integration Hugging Face LLM LLMs OpenAI RAG agents callbacks chains data augmentation deployment document loaders embeddings fine-tuning memory prompt engineering prompt templates prompts retrieval retrievers state management streaming text splitters toolkits tools vector database vector stores

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Llm Application Framework
Vendor
Harrison Chase
License
mit
Year introduced
2022
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: LangChain appears in many recent AI/LLM job postings and is widely used in app prototypes, but it’s still not a universal hiring staple like React or AWS.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
146
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • LLM Operations and Orchestration Catalog dimension db id 49

    Library dimension (catalog)

    Roles linked in library: AI Engineer, ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
LLM Operations and Orchestration
llm-operations-and-orchestration
Existing dimension (library) · Role↔dimension saved
OpenAI APIs Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: OpenAI API id=1223 · openai-api

Aliases — catalog

  • OpenAI API (CANONICAL) primary

Context tags (catalog)

API documentation API key ChatGPT GPT-3 OpenAI Playground completion embeddings fine-tuning integration model training natural language processing prompt engineering rate limits text generation webhooks

Stored enrichment (catalog DB)

Category
Service
Sub-category
Llm Api Service
Vendor
OpenAI
License
other_open
Year introduced
2020
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Strong JD signal: OpenAI API is now commonly listed in AI/ML and full-stack roles, and OpenAI’s own platform docs and ecosystem integrations show broad production adoption.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1006
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • LLM Provider APIs Catalog dimension db id 195

    Library dimension (catalog)

    Roles linked in library: AI Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
LLM Provider APIs
llm-provider-apis
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Anthropic APIs Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Anthropic API id=1224 · anthropic-api

Aliases — catalog

  • Anthropic API (CANONICAL) primary

Context tags (catalog)

AI safety API integration Claude cloud deployment data privacy ethical AI machine learning model fine-tuning multi-turn dialogue natural language processing performance metrics prompt engineering real-time inference scalability user feedback

Stored enrichment (catalog DB)

Category
Service
Sub-category
Llm Api Service
Vendor
Anthropic
License
unknown
Year introduced
2023
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Appears in growing numbers of AI/LLM job descriptions and vendor docs, but is still far less universal than OpenAI or AWS APIs; GitHub ecosystem activity is rising rather than saturated.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
1006
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • LLM Provider APIs Catalog dimension db id 195

    Library dimension (catalog)

    Roles linked in library: AI Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
LLM Provider APIs
llm-provider-apis
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
JavaScript Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: JavaScript id=607 · javascript

Aliases — catalog

  • JavaScript (CANONICAL) primary
  • ES2015 (VERSION)
  • ES2016 (VERSION)
  • ES2017 (VERSION)
  • ES2018 (VERSION)
  • ES2019 (VERSION)
  • ES2020 (VERSION)
  • ES2021 (VERSION)
  • ES2022 (VERSION)
  • ES2023 (VERSION)
  • ES2024 (VERSION)
  • ES5 (VERSION)
  • ES6 (VERSION)
  • JavaScript ES2015 (VERSION)
  • JavaScript ES2020 (VERSION)
  • JavaScript ES6 (VERSION)
  • modern JavaScript (VERSION)

Context tags (catalog)

AJAX Angular Babel DOM DOM manipulation ES6 Express JSON Node.js REST RESTful RESTful APIs React TypeScript Vue Vue.js Webpack async/await asynchronous callback callback functions closure event handling event-driven jQuery npm promises

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Mozilla
License
mpl
Year introduced
1995
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: JavaScript appears in a very high volume of job descriptions across frontend, full-stack, and Node.js roles, and remains a core language in major frameworks and browser platforms.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cross-Platform App Languages Catalog dimension db id 167

    Library dimension (catalog)

    Roles linked in library: Hybrid Mobile Developer

  • JavaScript and TypeScript Catalog dimension db id 114

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Ionic Developer, Node.js Backend Developer, React Frontend Developer, React Native Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • JavaScript for WordPress Catalog dimension db id 329

    Library dimension (catalog)

  • Pega Programming Languages & DSLs Catalog dimension db id 267

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, WordPress Dev

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages & Template Languages Catalog dimension db id 359

    Library dimension (catalog)

    Roles linked in library: Drupal Dev

  • Sitecore Development Languages Catalog dimension db id 438

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Storefront JavaScript and DOM Behavior Catalog dimension db id 422

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Storefront JavaScript and DOM Behavior
storefront-javascript-and-dom-behavior
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

  • Python (CANONICAL) primary
  • Python 2 (VERSION)
  • Python 2.x (VERSION)
  • Python 3 (VERSION)
  • Python 3.10 (VERSION)
  • Python 3.11 (VERSION)
  • Python 3.12 (VERSION)
  • Python 3.x (VERSION)
  • py (VERSION)
  • py2 (VERSION)
  • py3 (VERSION)
  • python 3 (VERSION)
  • python 3.x (VERSION)
  • python2 (VERSION)
  • python3 (VERSION)
  • python3.x (VERSION)

Context tags (catalog)

API Django FastAPI Flask Jupyter NumPy PEP 8 Pandas REST SQLAlchemy asyncio pandas pip pytest type hints venv virtualenv

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
PSF
License
mit
Year introduced
1991
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3

Maturity reasoning: Python appears in a very high volume of job descriptions across data, backend, automation, and ML roles, and remains a default hiring-pipeline language on major job boards and tech stacks.

Skill profile (library / DB)

Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
6
Sub-category id
96
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Security Scripting & DSL Languages Catalog dimension db id 248

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer, Fullstack Developer, WordPress Dev

  • Programming Languages & DSLs Catalog dimension db id 475

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Programming Languages for Data Work Catalog dimension db id 21

    Library dimension (catalog)

    Roles linked in library: Data Engineer

  • Programming Languages for ML Systems Catalog dimension db id 39

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

  • Programming Languages for XR Catalog dimension db id 97

    Library dimension (catalog)

    Roles linked in library: AR/VR Engineer

  • Python Programming Catalog dimension db id 290

    Library dimension (catalog)

    Roles linked in library: Distributed Systems Engineer, Python Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: REST APIs id=457 · rest-apis

Aliases — catalog

  • REST APIs (CANONICAL) primary

Context tags (catalog)

API Gateway API design API gateway API versioning CORS CRUD HATEOAS HTTP JSON OAuth OAuth 2.0 OpenAPI Postman RESTful RESTful services Swagger URI Webhooks authentication authorization client-server endpoint endpoints idempotency microservices middleware pagination query parameters rate limiting resource representation resource-oriented serialization stateless status codes throttling versioning webhooks

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Rest Protocol
Year introduced
2000
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: REST APIs are a hiring-pipeline staple: they appear in a large share of backend/full-stack JDs and are the default integration style across major cloud and SaaS platforms.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
3861
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Integration and Data Fetching Catalog dimension db id 127

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Fullstack Developer, Fullstack Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • API Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Asynchronous Data Fetching Catalog dimension db id 323

    Library dimension (catalog)

    Roles linked in library: Flutter Developer

  • Client API Integration Catalog dimension db id 377

    Library dimension (catalog)

    Roles linked in library: Ionic Developer

  • External System Integrations Catalog dimension db id 14

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Drupal Dev, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Magento Integration Adapters Catalog dimension db id 401

    Library dimension (catalog)

    Roles linked in library: Magento Dev

  • Mobile Client Networking and API Integration Catalog dimension db id 309

    Library dimension (catalog)

    Roles linked in library: Flutter Developer, React Native Developer

  • Networking and API Integration Catalog dimension db id 84

    Library dimension (catalog)

    Roles linked in library: Android Developer, Hybrid Mobile Developer, Native Mobile Developer, iOS Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Asynchronous Data Fetching
asynchronous-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Client API Integration
client-api-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
External System Integrations
external-system-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Magento Integration Adapters
magento-integration-adapters
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Mobile Client Networking and API Integration
mobile-client-networking-and-api-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Networking and API Integration
networking-and-api-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: JSON id=1984 · json

Aliases — catalog

  • JSON (CANONICAL) primary

Context tags (catalog)

AJAX API JSON Schema JSON-LD JSONP JavaScript NoSQL REST configuration data binding data format data interchange data structure deserialization interoperability key-value pairs lightweight object notation schema serialization text-based

Stored enrichment (catalog DB)

Category
Format
Sub-category
Data Interchange Format
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: JSON is a default data interchange format in APIs and web stacks; it appears in a very high volume of job descriptions and is supported by every major language/runtime.

Skill profile (library / DB)

Skill nature
STANDARD
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
4
Sub-category id
1457
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Integration and Data Fetching Catalog dimension db id 127

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Fullstack Developer, Fullstack Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

  • API Interface and Contract Design Catalog dimension db id 289

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Go Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Integration Protocols & Standards Catalog dimension db id 271

    Library dimension (catalog)

    Roles linked in library: Pega Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: webhooks id=2243 · webhooks

Aliases — catalog

  • webhooks (CANONICAL) primary
  • Webhooks (CANONICAL)

Context tags (catalog)

API API integration GitHub GitHub webhooks HTTP HTTP callbacks JSON OAuth REST RESTful RESTful services Slack Slack integrations Stripe Zapier asynchronous asynchronous processing automation callback callback URL callback URLs delivery endpoint event-driven integration listener notification notifications payload real-time real-time notifications retry logic retry mechanisms security security token security tokens serverless service service-oriented status codes subscription trigger web service web services webhook URL webhook endpoints webhook security webhooks testing webhooks.io

Stored enrichment (catalog DB)

Category
Protocol
Sub-category
Event Callback Protocol
Confidence
0.86
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common in SaaS and platform JDs for integrations and event-driven systems; widely supported by major vendors (e.g., GitHub, Stripe, Slack) and standard in API docs.

Skill profile (library / DB)

Skill nature
PROTOCOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
10
Sub-category id
3208
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • External Integrations and Clients Catalog dimension db id 375

    Library dimension (catalog)

    Roles linked in library: Go Backend Developer

  • External System Integrations Catalog dimension db id 14

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Drupal Dev, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer

  • Magento Integration Adapters Catalog dimension db id 401

    Library dimension (catalog)

    Roles linked in library: Magento Dev

  • Shopify APIs and Webhooks Catalog dimension db id 427

    Library dimension (catalog)

    Roles linked in library: Shopify Dev

  • Sitecore Integration Patterns Catalog dimension db id 444

    Library dimension (catalog)

    Roles linked in library: Sitecore Dev

  • Third-Party Service Integrations Catalog dimension db id 493

    Library dimension (catalog)

    Roles linked in library: WordPress Dev

  • WordPress REST Integrations Catalog dimension db id 332

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
External Integrations and Clients
external-integrations-and-clients
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
External System Integrations
external-system-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Magento Integration Adapters
magento-integration-adapters
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Shopify APIs and Webhooks
shopify-apis-and-webhooks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Sitecore Integration Patterns
sitecore-integration-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Third-Party Service Integrations
third-party-service-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
WordPress REST Integrations
wordpress-rest-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Git Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Git id=1002 · git

Aliases — catalog

  • Git (CANONICAL) primary

Context tags (catalog)

CI/CD GitHub GitLab always_load branching checkout clone commit fork merging pull request rebase remote repository stash versioning

Stored enrichment (catalog DB)

Category
Tool
Vendor
Linus Torvalds
License
gpl_v2
Year introduced
2005
Confidence
1.00
Version strategy
NOT_APPLICABLE

Maturity reasoning: Git is a hiring-pipeline staple: it appears in the vast majority of software engineering job descriptions and is the default VCS on GitHub/GitLab/Bitbucket.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: GitHub id=280 · github

Aliases — catalog

  • GitHub (CANONICAL) primary

Context tags (catalog)

CI/CD Git GitHub Actions GitHub Enterprise GitHub Pages SSH keys actions branch protection branches code review collaboration commit history fork forking issue tracker issues markdown merge conflicts merge request pull request pull requests release tags repositories repository version control webhooks

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Devops Platform
Vendor
GitHub, Inc.
License
other_open
Year introduced
2008
Confidence
0.96
Version strategy
NOT_APPLICABLE

Maturity reasoning: GitHub appears in a very high volume of engineering JDs for source control, code review, and CI/CD; it’s a standard hiring-pipeline skill across teams.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
170
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AI Agents Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Artificial Intelligence
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Voice Agents Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Artificial Intelligence
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
AI Chatbots Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Chatbots id=1198 · chatbots

Aliases — catalog

  • Chatbots (CANONICAL)

Context tags (catalog)

API integration NLP Rasa chatbot frameworks conversational flow customer support automation dialogflow entity extraction intent recognition machine learning natural language understanding sentiment analysis user experience design user intent voice assistants

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Conversational Ai Systems
Confidence
0.78
Version strategy
NOT_APPLICABLE

Maturity reasoning: Chatbots are broadly adopted and commonly appear in job postings across customer support, sales, and AI product roles; major vendors like Intercom, Zendesk, and Microsoft ship chatbot tooling.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
908
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
AI Assistants Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Artificial Intelligence
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Workflow Agents Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Artificial Intelligence
Sub-category
general
Skill nature
CONCEPT
Volatility
FAST
Typical lifespan
SHORT_LIVED
Version strategy
VERSIONED
Multi-Agent Systems Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Artificial Intelligence
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
ElevenLabs Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Technologies
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Vapi Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Technologies
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Retell AI Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Technologies
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Bland AI Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
AI Technologies
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Twilio Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Twilio id=1599 · twilio

Aliases — catalog

  • Twilio (CANONICAL)

Context tags (catalog)

API integration Call tracking Chatbot MMS Programmable Video Real-time messaging SMS Twilio CLI Twilio Console Twilio Flex Twilio Functions Twilio Studio Two-factor authentication Voice API Webhook

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Communications Platform
Vendor
Twilio Inc.
License
other_open
Year introduced
2008
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Twilio appears frequently in job postings for SMS/voice/OTP integrations and is a standard CPaaS vendor in hiring pipelines; no vendor sunset indicates deprecation.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
1204
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
LiveKit Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Communication Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
HubSpot Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
CRM Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Salesforce Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Salesforce id=4632 · salesforce

Aliases — catalog

  • Salesforce (CANONICAL) primary

Context tags (catalog)

API Integration Apex AppExchange Custom Objects Data Loader Einstein Analytics Lightning Process Builder SOQL SObject Sales Cloud Service Cloud Trailhead Visualforce Workflow Rules

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Saas Platform
Vendor
Salesforce, Inc.
License
proprietary
Year introduced
1999
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Salesforce appears in large volumes of enterprise job postings across sales, admin, and developer roles, and its AppExchange/ecosystem remains actively supported by the vendor.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
3633
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Vendor Product Families Catalog dimension db id 477

    Library dimension (catalog)

    Roles linked in library: Engineering Manager

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Zoho CRM Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
CRM Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Slack Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Communication Tools
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Google Workspace Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Microsoft 365 Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Cloud Platforms
Sub-category
general
Skill nature
PLATFORM
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Prompt Engineering Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Prompt engineering id=1207 · prompt-engineering

Aliases — catalog

  • Prompt engineering (CANONICAL)

Context tags (catalog)

AI alignment contextual prompts data annotation evaluation metrics feedback loops fine-tuning iterative testing language models model training natural language processing prompt design prompt optimization prompt templates user experience user intent

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Prompt Engineering
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Prompt engineering is increasingly listed in AI/LLM job descriptions and vendor docs, but it’s still not a universal hiring staple like Python or AWS.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
914
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
RAG Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: RAG id=1194 · rag

Aliases — catalog

  • RAG (CANONICAL)

Context tags (catalog)

AI applications contextualization data augmentation fine-tuning generation information retrieval knowledge integration machine learning model training natural language processing prompt engineering retrieval semantic search transformer models user intent

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Retrieval Augmented Generation
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: RAG appears in many recent AI/ML job descriptions and vendor docs, but it is still not a universal baseline skill like Python or SQL; market demand is rising fast rather than fully standardized.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
904
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • React Frontend Development Catalog dimension db id 96

    Library dimension (catalog)

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
MCP Secondary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Credentials
Sub-category
general
Skill nature
CREDENTIAL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Claude Code in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Codex in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Cursor in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Make in_db
Build and Packaging Tooling
build-and-packaging-tooling
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
LangChain in_db
LLM Operations and Orchestration
llm-operations-and-orchestration
Existing dimension (library) · Role↔dimension saved
OpenAI APIs new
LLM Provider APIs
llm-provider-apis
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Anthropic APIs new
LLM Provider APIs
llm-provider-apis
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
JavaScript in_db
Cross-Platform App Languages
cross-platform-app-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
JavaScript and TypeScript
javascript-and-typescript
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
JavaScript for WordPress
javascript-for-wordpress
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Pega Programming Languages & DSLs
pega-programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Programming Languages & Template Languages
programming-languages-template-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Sitecore Development Languages
sitecore-development-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JavaScript in_db
Storefront JavaScript and DOM Behavior
storefront-javascript-and-dom-behavior
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Cloud Security Scripting & DSL Languages
cloud-security-scripting-dsl-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages
programming-languages
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages & DSLs
programming-languages-dsls
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for Data Work
programming-languages-for-data-work
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for ML Systems
programming-languages-for-ml-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Programming Languages for XR
programming-languages-for-xr
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Python in_db
Python Programming
python-programming
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
Asynchronous Data Fetching
asynchronous-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
Client API Integration
client-api-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
External System Integrations
external-system-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
Magento Integration Adapters
magento-integration-adapters
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
Mobile Client Networking and API Integration
mobile-client-networking-and-api-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
REST APIs in_db
Networking and API Integration
networking-and-api-integration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON in_db
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON in_db
API Interface and Contract Design
api-interface-and-contract-design
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
JSON in_db
Integration Protocols & Standards
integration-protocols-standards
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
External Integrations and Clients
external-integrations-and-clients
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
External System Integrations
external-system-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
Magento Integration Adapters
magento-integration-adapters
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
Shopify APIs and Webhooks
shopify-apis-and-webhooks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
Sitecore Integration Patterns
sitecore-integration-patterns
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
Third-Party Service Integrations
third-party-service-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Webhooks in_db
WordPress REST Integrations
wordpress-rest-integrations
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Git in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
GitHub in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AI Chatbots new
React Frontend Development
d_init_01
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Twilio in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Salesforce in_db
Vendor Product Families
vendor-product-families
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Prompt Engineering in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
RAG in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Lovable | type=Soft Skills subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Antigravity | type=Concepts subtype=general nature=CONCEPT lifespan=SHORT_LIVED
canonical_skill_proposed n8n | type=Workflow Automation Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Zapier | type=Workflow Automation Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed AI Agents | type=Artificial Intelligence subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Voice Agents | type=Artificial Intelligence subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed AI Assistants | type=Artificial Intelligence subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Workflow Agents | type=Artificial Intelligence subtype=general nature=CONCEPT lifespan=SHORT_LIVED
canonical_skill_proposed Multi-Agent Systems | type=Artificial Intelligence subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed ElevenLabs | type=AI Technologies subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Vapi | type=AI Technologies subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Retell AI | type=AI Technologies subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Bland AI | type=AI Technologies subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed LiveKit | type=Communication Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed HubSpot | type=CRM Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Zoho CRM | type=CRM Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Slack | type=Communication Tools subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Google Workspace | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed Microsoft 365 | type=Cloud Platforms subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed MCP | type=Credentials subtype=general nature=CREDENTIAL lifespan=MULTI_YEAR
dimension_skill_link_proposed OpenAI APIs ↔ LLM Provider APIs
role_dimension_link_proposed AI Engineer ↔ LLM Provider APIs
dimension_skill_link_proposed Anthropic APIs ↔ LLM Provider APIs
role_dimension_link_proposed AI Engineer ↔ LLM Provider APIs
dimension_skill_link_proposed AI Chatbots ↔ React Frontend Development
nano JD Parser — gpt-4.1-nano click to toggle
RoleAI GTM Engineer (AI Automation)
DomainSoftware & SaaS Products
Location(remote)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": null,
  "ai_kras": [
    "Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.",
    "Design and deploy Voice AI Agents for inbound/outbound customer interactions.",
    "Build prototypes and MVPs using AI-assisted development tools.",
    "Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.",
    "Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.",
    "Strong experience using AI code generation platforms such as: Claude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation.",
    "Hands-on experience building: Voice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems.",
    "Comfortable experimenting with the latest AI technologies.",
    "Experience deploying AI applications to production."
  ],
  "certifications": [],
  "client_details": null,
  "company_name": null,
  "company_size": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "SaaS",
        "Product Companies"
      ],
      "domain": "Software \u0026 SaaS Products"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE - Computer Science / Engineering / Information Technology (or equivalent)",
      "raw": "Bachelor\u0027s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": null,
    "raw": null
  },
  "job_locations": [
    {
      "aliases": [],
      "city": null,
      "country": null,
      "state": null,
      "work_mode": "remote"
    }
  ],
  "notice_period": {
    "days": null,
    "raw": null
  },
  "open_to_relocate": false,
  "role": "AI GTM Engineer (AI Automation)",
  "role_aliases": [
    {
      "name": "GTM Engineer",
      "reasoning": "generalized form of the picked role",
      "relation": "synonym"
    },
    {
      "name": "AI Engineer",
      "reasoning": "role involves AI development and automation",
      "relation": "synonym"
    },
    {
      "name": "Automation Engineer",
      "reasoning": "focus on building automation systems",
      "relation": "synonym"
    }
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 9,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Build AI-powered workflows to improve",
        "last_5_words": "automations and continuously optimize them."
      },
      "text": "Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.\nDevelop internal tools that improve Sales, Marketing, Customer Success, and Operations.\nDesign and deploy Voice AI Agents for inbound/outbound customer interactions.\nBuild prototypes and MVPs using AI-assisted development tools.\nAutomate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.\nWork closely with Product, Sales, and Leadership to identify automation opportunities.\nIntegrate CRMs, communication platforms, AI models, and third-party SaaS applications.\nRapidly experiment, iterate, and deploy growth initiatives.\nMeasure performance of automations and continuously optimize them.",
      "word_count": 116
    },
    {
      "bullet_count": 3,
      "heading": "Required Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "AI Development Strong experience using",
        "last_5_words": "Agents"
      },
      "text": "AI Development\n\nStrong experience using AI code generation platforms such as:\n\nClaude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation\n\nExperience with tools like:\n\nn8n | Make | Zapier | LangChain | OpenAI APIs | Anthropic APIs | JavaScript or Python | REST APIs | JSON | Webhooks | Git/GitHub | AI Agents\n\nHands-on experience building:\n\nVoice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems",
      "word_count": 83
    },
    {
      "bullet_count": 3,
      "heading": "Preferred Qualifications (Strong Plus)",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2705 Built production-grade Voice AI",
        "last_5_words": "Google Workspace | Microsoft 365"
      },
      "text": "\u2705 Built production-grade Voice AI Agents\n\n\u2705 Experience with:\n\nElevenLabs | Vapi | Retell AI | Bland AI | Twilio | LiveKit\n\n\u2705 Experience integrating:\n\nHubSpot | Salesforce | Zoho CRM | Slack | Google Workspace | Microsoft 365",
      "word_count": 45
    },
    {
      "bullet_count": 5,
      "heading": "What We\u0027re Looking For:",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2666 Builder mindset \u2666 Strong problem-solving",
        "last_5_words": "self-driven, and passionate about AI"
      },
      "text": "\u2666 Builder mindset\n\u2666 Strong problem-solving skills Ability to ship products quickly\n\u2666 Comfortable experimenting with the latest AI technologies\n\u2666 Excellent communication and cross-functional collaboration\n\u2666 Curious, self-driven, and passionate about AI",
      "word_count": 36
    },
    {
      "bullet_count": 7,
      "heading": "Nice to Have",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u25ba SaaS startup experience \u25ba GTM",
        "last_5_words": "AI applications to production"
      },
      "text": "\u25ba SaaS startup experience\n\u25ba GTM automation experience\n\u25ba AI product development\n\u25ba Prompt engineering\n\u25ba RAG applications\n\u25ba MCP (Model Context Protocol)\n\u25ba Experience deploying AI applications to production",
      "word_count": 34
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Claude Code"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or framework related to AI development.",
      "skill_name": "Lovable"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Codex"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Cursor"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or framework related to AI development.",
      "skill_name": "Antigravity"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for workflow automation.",
      "skill_name": "n8n"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Make"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for workflow automation.",
      "skill_name": "Zapier"
    },
    {
      "dimension": {
        "display_name": "LLM Operations and Orchestration",
        "id": 49,
        "slug": "llm-operations-and-orchestration"
      },
      "is_primary": true,
      "layer": "L1",
      "layer_source": "baseline",
      "rationale": null,
      "skill_name": "LangChain"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for AI integration.",
      "skill_name": "OpenAI APIs"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for AI integration.",
      "skill_name": "Anthropic APIs"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "JavaScript"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Python"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "REST APIs"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "JSON"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Webhooks"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Git"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "GitHub"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI.",
      "skill_name": "AI Agents"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI.",
      "skill_name": "Voice Agents"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI.",
      "skill_name": "AI Chatbots"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI.",
      "skill_name": "AI Assistants"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI.",
      "skill_name": "Workflow Agents"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI.",
      "skill_name": "Multi-Agent Systems"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI.",
      "skill_name": "ElevenLabs"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI.",
      "skill_name": "Vapi"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI.",
      "skill_name": "Retell AI"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI.",
      "skill_name": "Bland AI"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Twilio"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI.",
      "skill_name": "LiveKit"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for CRM.",
      "skill_name": "HubSpot"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L1",
      "layer_source": "promoted",
      "rationale": "Named in the responsibilities section, indicating its importance in the role.",
      "skill_name": "Salesforce"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for CRM.",
      "skill_name": "Zoho CRM"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for communication.",
      "skill_name": "Slack"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for productivity.",
      "skill_name": "Google Workspace"
    },
    {
      "dimension": null,
      "is_primary": true,
      "layer": "L2",
      "layer_source": "llm",
      "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for productivity.",
      "skill_name": "Microsoft 365"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "Prompt Engineering"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "RAG"
    },
    {
      "dimension": null,
      "is_primary": false,
      "layer": null,
      "layer_source": null,
      "rationale": null,
      "skill_name": "MCP"
    }
  ],
  "jd_parameters": {
    "certifications": [],
    "clientDetails": null,
    "company": null,
    "companySize": null,
    "ctc": {
      "currency": null,
      "max": null,
      "min": null,
      "period": null,
      "raw": null
    },
    "educationRequirements": [
      "BTECH/BE - Computer Science / Engineering / Information Technology (or equivalent)"
    ],
    "experience": {
      "max": null,
      "min": null,
      "raw": null
    },
    "industryDomain": "Software \u0026 SaaS Products",
    "knockouts": {
      "certifications": [],
      "ctc": {
        "currency": null,
        "max": null,
        "min": null
      },
      "educationRequirements": [
        "BTECH/BE - Computer Science / Engineering / Information Technology (or equivalent)"
      ],
      "experience": {
        "max": null,
        "min": null
      },
      "location": [
        "Remote"
      ],
      "noticePeriod": null
    },
    "locations": [
      "Remote"
    ],
    "noticePeriod": null,
    "openToRelocate": false,
    "role": "AI GTM Engineer (AI Automation)",
    "roleSynonyms": [
      "GTM Engineer",
      "AI Engineer",
      "Automation Engineer"
    ]
  },
  "jd_role": {
    "display_name": "AI GTM Engineer (AI Automation)",
    "rationale": null,
    "role_aliases": [
      "GTM Engineer",
      "AI Engineer",
      "Automation Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "ai_kras": [
      "Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.",
      "Design and deploy Voice AI Agents for inbound/outbound customer interactions.",
      "Build prototypes and MVPs using AI-assisted development tools.",
      "Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.",
      "Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.",
      "Strong experience using AI code generation platforms such as: Claude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation.",
      "Hands-on experience building: Voice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems.",
      "Comfortable experimenting with the latest AI technologies.",
      "Experience deploying AI applications to production."
    ],
    "certifications": [],
    "client_details": null,
    "company_name": null,
    "company_size": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "SaaS",
          "Product Companies"
        ],
        "domain": "Software \u0026 SaaS Products"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE - Computer Science / Engineering / Information Technology (or equivalent)",
        "raw": "Bachelor\u0027s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": null,
      "raw": null
    },
    "job_locations": [
      {
        "aliases": [],
        "city": null,
        "country": null,
        "state": null,
        "work_mode": "remote"
      }
    ],
    "notice_period": {
      "days": null,
      "raw": null
    },
    "open_to_relocate": false,
    "role": "AI GTM Engineer (AI Automation)",
    "role_aliases": [
      {
        "name": "GTM Engineer",
        "reasoning": "generalized form of the picked role",
        "relation": "synonym"
      },
      {
        "name": "AI Engineer",
        "reasoning": "role involves AI development and automation",
        "relation": "synonym"
      },
      {
        "name": "Automation Engineer",
        "reasoning": "focus on building automation systems",
        "relation": "synonym"
      }
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 9,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Build AI-powered workflows to improve",
          "last_5_words": "automations and continuously optimize them."
        },
        "text": "Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.\nDevelop internal tools that improve Sales, Marketing, Customer Success, and Operations.\nDesign and deploy Voice AI Agents for inbound/outbound customer interactions.\nBuild prototypes and MVPs using AI-assisted development tools.\nAutomate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.\nWork closely with Product, Sales, and Leadership to identify automation opportunities.\nIntegrate CRMs, communication platforms, AI models, and third-party SaaS applications.\nRapidly experiment, iterate, and deploy growth initiatives.\nMeasure performance of automations and continuously optimize them.",
        "word_count": 116
      },
      {
        "bullet_count": 3,
        "heading": "Required Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "AI Development Strong experience using",
          "last_5_words": "Agents"
        },
        "text": "AI Development\n\nStrong experience using AI code generation platforms such as:\n\nClaude Code | Lovable | Codex | Cursor | Antigravity (or similar AI developer tools) | Automation\n\nExperience with tools like:\n\nn8n | Make | Zapier | LangChain | OpenAI APIs | Anthropic APIs | JavaScript or Python | REST APIs | JSON | Webhooks | Git/GitHub | AI Agents\n\nHands-on experience building:\n\nVoice Agents | AI Chatbots | AI Assistants | Workflow Agents | Multi-Agent Systems",
        "word_count": 83
      },
      {
        "bullet_count": 3,
        "heading": "Preferred Qualifications (Strong Plus)",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2705 Built production-grade Voice AI",
          "last_5_words": "Google Workspace | Microsoft 365"
        },
        "text": "\u2705 Built production-grade Voice AI Agents\n\n\u2705 Experience with:\n\nElevenLabs | Vapi | Retell AI | Bland AI | Twilio | LiveKit\n\n\u2705 Experience integrating:\n\nHubSpot | Salesforce | Zoho CRM | Slack | Google Workspace | Microsoft 365",
        "word_count": 45
      },
      {
        "bullet_count": 5,
        "heading": "What We\u0027re Looking For:",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2666 Builder mindset \u2666 Strong problem-solving",
          "last_5_words": "self-driven, and passionate about AI"
        },
        "text": "\u2666 Builder mindset\n\u2666 Strong problem-solving skills Ability to ship products quickly\n\u2666 Comfortable experimenting with the latest AI technologies\n\u2666 Excellent communication and cross-functional collaboration\n\u2666 Curious, self-driven, and passionate about AI",
        "word_count": 36
      },
      {
        "bullet_count": 7,
        "heading": "Nice to Have",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u25ba SaaS startup experience \u25ba GTM",
          "last_5_words": "AI applications to production"
        },
        "text": "\u25ba SaaS startup experience\n\u25ba GTM automation experience\n\u25ba AI product development\n\u25ba Prompt engineering\n\u25ba RAG applications\n\u25ba MCP (Model Context Protocol)\n\u25ba Experience deploying AI applications to production",
        "word_count": 34
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "role": {
    "anchor_type": null,
    "display_name": "AI Engineer",
    "id": 13,
    "resolution": "in_db",
    "slug": "ai-engineer"
  },
  "run_id": "c73fd215-a10d-4c65-a629-ab4c52242ed7",
  "secondary_skills": [
    "Prompt Engineering",
    "RAG",
    "MCP"
  ],
  "skill_layers": [
    {
      "label": "Primary",
      "layer": "L1",
      "skills": [
        {
          "dimension": {
            "display_name": "LLM Operations and Orchestration",
            "id": 49,
            "slug": "llm-operations-and-orchestration"
          },
          "name": "LangChain"
        },
        {
          "name": "Claude Code",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Codex",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Cursor",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Make",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "JavaScript",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Python",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "REST APIs",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "JSON",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Webhooks",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Git",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "GitHub",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Twilio",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        },
        {
          "name": "Salesforce",
          "rationale": "Named in the responsibilities section, indicating its importance in the role."
        }
      ]
    },
    {
      "label": "Environment",
      "layer": "L2",
      "skills": [
        {
          "name": "Lovable",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or framework related to AI development."
        },
        {
          "name": "Antigravity",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or framework related to AI development."
        },
        {
          "name": "n8n",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for workflow automation."
        },
        {
          "name": "Zapier",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for workflow automation."
        },
        {
          "name": "OpenAI APIs",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for AI integration."
        },
        {
          "name": "Anthropic APIs",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for AI integration."
        },
        {
          "name": "AI Agents",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI."
        },
        {
          "name": "Voice Agents",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI."
        },
        {
          "name": "AI Chatbots",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI."
        },
        {
          "name": "AI Assistants",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI."
        },
        {
          "name": "Workflow Agents",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI."
        },
        {
          "name": "Multi-Agent Systems",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a role or function related to AI."
        },
        {
          "name": "ElevenLabs",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI."
        },
        {
          "name": "Vapi",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI."
        },
        {
          "name": "Retell AI",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI."
        },
        {
          "name": "Bland AI",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI."
        },
        {
          "name": "LiveKit",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool or platform related to AI."
        },
        {
          "name": "HubSpot",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for CRM."
        },
        {
          "name": "Zoho CRM",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for CRM."
        },
        {
          "name": "Slack",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for communication."
        },
        {
          "name": "Google Workspace",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for productivity."
        },
        {
          "name": "Microsoft 365",
          "rationale": "Unmapped skill mentioned in responsibilities, likely a tool for productivity."
        }
      ]
    }
  ],
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "AI Engineer",
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        "matched_count": null,
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    ],
    "kra_match_roles": [
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            "sentence": "Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.",
            "similarity": 0.594
          },
          {
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            "sentence": "Build prototypes and MVPs using AI-assisted development tools.",
            "similarity": 0.5426
          },
          {
            "kra_text": "Designs and implements prompt engineering workflows, few-shot examples, chain-of-thought patterns, and structured output parsing for AI feature pipelines.",
            "sentence": "Strong experience using AI code generation platforms such as:",
            "similarity": 0.5422
          }
        ],
        "matched_count": null,
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      },
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
          {
            "kra_text": "integrate external APIs and data sources",
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            "similarity": 0.5927
          },
          {
            "kra_text": "optimize responsiveness and performance",
            "sentence": "Measure performance of automations and continuously optimize them.",
            "similarity": 0.5375
          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Work closely with Product, Sales, and Leadership to identify automation opportunities.",
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          }
        ],
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      },
      {
        "display_name": "MLOps Engineer",
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          {
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          },
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      },
      {
        "display_name": "AI Compliance Officer",
        "kra_matches": [
          {
            "kra_text": "Manages AI deployment approval workflows, periodic reassessment calendars, and conditional authorization records for production AI systems.",
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            "similarity": 0.5405
          },
          {
            "kra_text": "Maps AI system behaviors and data processing activities to regulatory requirements including EU AI Act, GDPR, CCPA, and sector-specific compliance frameworks.",
            "sentence": "\u2666 Comfortable experimenting with the latest AI technologies",
            "similarity": 0.4859
          },
          {
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          }
        ],
        "matched_count": null,
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      },
      {
        "display_name": ".NET Backend Developer",
        "kra_matches": [
          {
            "kra_text": "internal and third-party system integration",
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            "similarity": 0.5434
          },
          {
            "kra_text": "service-level technical collaboration",
            "sentence": "\u2666 Excellent communication and cross-functional collaboration",
            "similarity": 0.4824
          },
          {
            "kra_text": "automated backend checks",
            "sentence": "Measure performance of automations and continuously optimize them.",
            "similarity": 0.4594
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 83,
        "score": 0.4951,
        "slug": "dotnet-backend-developer",
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      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Fullstack Developer",
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        "matched_count": 4,
        "matched_skills": [
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          "JavaScript",
          "Python",
          "REST APIs"
        ],
        "role_id": 15,
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        "total_count": 36
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
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          "REST APIs"
        ],
        "role_id": 435,
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        "total_count": 36
      },
      {
        "display_name": "Python Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
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          "REST APIs",
          "webhooks"
        ],
        "role_id": 80,
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      },
      {
        "display_name": "Node.js Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
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          "JavaScript",
          "REST APIs",
          "webhooks"
        ],
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        "total_count": 36
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "JavaScript",
          "Python",
          "REST APIs",
          "webhooks"
        ],
        "role_id": 1,
        "score": 0.1111,
        "slug": "backend-engineer",
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      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
      "display_name": "AI Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 13,
      "score": 1.0,
      "slug": "ai-engineer",
      "total_count": null
    },
    "confidence": 1.0,
    "consensus_evidence": {},
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_domain": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Exact alias hit on ai-engineer (1.0) \u2014 no other alias at this confidence; skill_top full-stack-engineer 0.11 does not contradict",
    "role_aliases": [],
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 43,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 26192,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Lovable",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26193,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Antigravity",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26194,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "n8n",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26195,
        "role_display_name": "AI Engineer",
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        "skill_name": "Zapier",
        "status": "pending"
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      {
        "is_primary": true,
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        "role_display_name": "AI Engineer",
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        "status": "pending"
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      {
        "is_primary": true,
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        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Anthropic APIs",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26198,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "AI Agents",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26199,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Voice Agents",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26200,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "AI Chatbots",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26201,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "AI Assistants",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26202,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Workflow Agents",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26203,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Multi-Agent Systems",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26204,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "ElevenLabs",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26205,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Vapi",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26206,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Retell AI",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26207,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Bland AI",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26208,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "LiveKit",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26209,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "HubSpot",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26210,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Zoho CRM",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26211,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Slack",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26212,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Google Workspace",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 26213,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "Microsoft 365",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 26214,
        "role_display_name": "AI Engineer",
        "role_slug": "ai-engineer",
        "skill_name": "MCP",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
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      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2534,
      "existing_alias_text": "Claude Code",
      "input_term": "Claude Code",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Claude Code",
        "id": 1588,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "claude-code",
        "sub_category_id": 1194,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2536,
      "existing_alias_text": "Codex",
      "input_term": "Codex",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Codex",
        "id": 1590,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "codex",
        "sub_category_id": 1196,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 2535,
      "existing_alias_text": "Cursor",
      "input_term": "Cursor",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Cursor",
        "id": 1589,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
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            "slug": "d_init_01",
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          },
          "input_skill": "AI Chatbots",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "AI Chatbots",
      "matched_via": "embedding_alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "AI Assistants",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Artificial Intelligence",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "ai-assistants",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Workflow Agents",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Artificial Intelligence",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "SHORT_LIVED",
          "version_strategy": "VERSIONED",
          "volatility": "FAST"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "workflow-agents",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Multi-Agent Systems",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Artificial Intelligence",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "multi-agent-systems",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "ElevenLabs",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Technologies",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "elevenlabs",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Vapi",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Technologies",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "vapi",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Retell AI",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Technologies",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "retell-ai",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Bland AI",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "AI Technologies",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "bland-ai",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Twilio",
          "alias_type": "CANONICAL",
          "id": 2551,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Twilio",
        "id": 1599,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "twilio",
        "sub_category_id": 1204,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Twilio",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Twilio",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "LiveKit",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Communication Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "livekit",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "HubSpot",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "CRM Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "hubspot",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Salesforce",
          "alias_type": "CANONICAL",
          "id": 6567,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Salesforce",
        "id": 4632,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "salesforce",
        "sub_category_id": 3633,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Vendor Product Families",
            "id": 477,
            "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
            "slug": "vendor-product-families",
            "source": "db"
          },
          "input_skill": "Salesforce",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Engineering Manager",
              "id": 121,
              "rationale": null,
              "role_archetype": null,
              "slug": "engineering-manager",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Salesforce",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Zoho CRM",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "CRM Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "zoho-crm",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Slack",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Communication Tools",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "slack",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Google Workspace",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Cloud Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "google-workspace",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Microsoft 365",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Cloud Platforms",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "microsoft-365",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Prompt engineering",
          "alias_type": "CANONICAL",
          "id": 1843,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Prompt engineering",
        "id": 1207,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "prompt-engineering",
        "sub_category_id": 914,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "Prompt Engineering",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Prompt Engineering",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "RAG",
          "alias_type": "CANONICAL",
          "id": 1830,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "RAG",
        "id": 1194,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "rag",
        "sub_category_id": 904,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "React Frontend Development",
            "id": 96,
            "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
            "slug": "d_init_01",
            "source": "db"
          },
          "input_skill": "RAG",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "RAG",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "MCP",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Credentials",
          "skill_nature": "CREDENTIAL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "mcp",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Lovable",
    "Antigravity",
    "n8n",
    "Zapier",
    "AI Agents",
    "Voice Agents",
    "AI Assistants",
    "Workflow Agents",
    "Multi-Agent Systems",
    "ElevenLabs",
    "Vapi",
    "Retell AI",
    "Bland AI",
    "LiveKit",
    "HubSpot",
    "Zoho CRM",
    "Slack",
    "Google Workspace",
    "Microsoft 365",
    "MCP"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "AI Engineer",
    "id": 13,
    "rationale": "Exact alias hit on ai-engineer (1.0) \u2014 no other alias at this confidence; skill_top full-stack-engineer 0.11 does not contradict",
    "role_archetype": null,
    "slug": "ai-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Claude Code",
      "tag": "in_db"
    },
    {
      "skill": "Lovable",
      "tag": "new"
    },
    {
      "skill": "Codex",
      "tag": "in_db"
    },
    {
      "skill": "Cursor",
      "tag": "in_db"
    },
    {
      "skill": "Antigravity",
      "tag": "new"
    },
    {
      "skill": "n8n",
      "tag": "new"
    },
    {
      "skill": "Make",
      "tag": "in_db"
    },
    {
      "skill": "Zapier",
      "tag": "new"
    },
    {
      "skill": "LangChain",
      "tag": "in_db"
    },
    {
      "skill": "OpenAI APIs",
      "tag": "in_db"
    },
    {
      "skill": "Anthropic APIs",
      "tag": "in_db"
    },
    {
      "skill": "JavaScript",
      "tag": "in_db"
    },
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "REST APIs",
      "tag": "in_db"
    },
    {
      "skill": "JSON",
      "tag": "in_db"
    },
    {
      "skill": "Webhooks",
      "tag": "in_db"
    },
    {
      "skill": "Git",
      "tag": "in_db"
    },
    {
      "skill": "GitHub",
      "tag": "in_db"
    },
    {
      "skill": "AI Agents",
      "tag": "new"
    },
    {
      "skill": "Voice Agents",
      "tag": "new"
    },
    {
      "skill": "AI Chatbots",
      "tag": "in_db"
    },
    {
      "skill": "AI Assistants",
      "tag": "new"
    },
    {
      "skill": "Workflow Agents",
      "tag": "new"
    },
    {
      "skill": "Multi-Agent Systems",
      "tag": "new"
    },
    {
      "skill": "ElevenLabs",
      "tag": "new"
    },
    {
      "skill": "Vapi",
      "tag": "new"
    },
    {
      "skill": "Retell AI",
      "tag": "new"
    },
    {
      "skill": "Bland AI",
      "tag": "new"
    },
    {
      "skill": "Twilio",
      "tag": "in_db"
    },
    {
      "skill": "LiveKit",
      "tag": "new"
    },
    {
      "skill": "HubSpot",
      "tag": "new"
    },
    {
      "skill": "Salesforce",
      "tag": "in_db"
    },
    {
      "skill": "Zoho CRM",
      "tag": "new"
    },
    {
      "skill": "Slack",
      "tag": "new"
    },
    {
      "skill": "Google Workspace",
      "tag": "new"
    },
    {
      "skill": "Microsoft 365",
      "tag": "new"
    },
    {
      "skill": "Prompt Engineering",
      "tag": "in_db"
    },
    {
      "skill": "RAG",
      "tag": "in_db"
    },
    {
      "skill": "MCP",
      "tag": "new"
    }
  ],
  "llm_cost_api1_usd": null,
  "llm_cost_api2_usd": null,
  "llm_cost_api3_usd": null,
  "llm_cost_total_usd": null,
  "persistence": {
    "items": [
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
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          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1984,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Integration Protocols \u0026 Standards",
          "id": 271,
          "rationale": "Standards and protocols for integrating Pega applications.",
          "slug": "integration-protocols-standards",
          "source": "db"
        },
        "dimension_id": 271,
        "input_skill": "JSON",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Pega Developer",
            "id": 24,
            "rationale": null,
            "role_archetype": null,
            "slug": "pega-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 1984,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "External Integrations and Clients",
          "id": 375,
          "rationale": "Connecting Go backend services to third-party APIs and internal enterprise systems. This cluster is coherent because the role frequently builds outbound clients, handles retries, and maps external payloads into service workflows.",
          "slug": "external-integrations-and-clients",
          "source": "db"
        },
        "dimension_id": 375,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Go Backend Developer",
            "id": 81,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "go-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "External System Integrations",
          "id": 14,
          "rationale": "Connecting backend services to third-party APIs and internal enterprise systems. This includes client libraries, webhooks, retries, data mapping, and integration failure handling.",
          "slug": "external-system-integrations",
          "source": "db"
        },
        "dimension_id": 14,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": ".NET Backend Developer",
            "id": 83,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "dotnet-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Drupal Dev",
            "id": 228,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "drupal-dev",
            "source": "db"
          },
          {
            "display_name": "Java Backend Developer",
            "id": 79,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "java-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Kotlin Backend Developer",
            "id": 84,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "kotlin-server-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "PHP Backend Developer",
            "id": 86,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "php-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Magento Integration Adapters",
          "id": 401,
          "rationale": "Connecting Magento to external commerce systems and services. This cluster covers API clients, webhooks, message-driven adapters, and data mapping needed to synchronize storefront behavior with surrounding platforms.",
          "slug": "magento-integration-adapters",
          "source": "db"
        },
        "dimension_id": 401,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Magento Dev",
            "id": 231,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "magento-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Shopify APIs and Webhooks",
          "id": 427,
          "rationale": "Integration work that connects storefronts and apps to external business systems through Shopify interfaces. This cluster is central because Shopify Dev often wires store behavior to inventory, ERP, CRM, and fulfillment systems.",
          "slug": "shopify-apis-and-webhooks",
          "source": "db"
        },
        "dimension_id": 427,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Shopify Dev",
            "id": 230,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "shopify-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Sitecore Integration Patterns",
          "id": 444,
          "rationale": "Connecting Sitecore to adjacent systems such as commerce, search, identity, analytics, and data services. This cluster covers the integration code and patterns needed to keep the site experience connected to enterprise systems.",
          "slug": "sitecore-integration-patterns",
          "source": "db"
        },
        "dimension_id": 444,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Sitecore Dev",
            "id": 233,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "sitecore-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
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        "dimension": {
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          "display_name": "Third-Party Service Integrations",
          "id": 493,
          "rationale": "Connecting WordPress sites to external services for forms, marketing, analytics, identity, and content workflows. This is coherent because WordPress projects frequently depend on vendor APIs and plugin connectors.",
          "slug": "third-party-service-integrations",
          "source": "db"
        },
        "dimension_id": 493,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "WordPress Dev",
            "id": 227,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "wordpress-dev",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "WordPress REST Integrations",
          "id": 332,
          "rationale": "Connecting WordPress sites to external services and internal systems through APIs and webhooks. This is a distinct cluster because WordPress developers frequently implement data exchange, sync, and integration behavior at the site layer.",
          "slug": "wordpress-rest-integrations",
          "source": "db"
        },
        "dimension_id": 332,
        "input_skill": "Webhooks",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 2243,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
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          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Git",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1002,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD Pipeline Platforms",
          "id": 150,
          "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
          "slug": "ci-cd-pipeline-platforms",
          "source": "db"
        },
        "dimension_id": 150,
        "input_skill": "GitHub",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 280,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "CI/CD for Machine Learning",
          "id": 56,
          "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
          "slug": "ci-cd-for-machine-learning",
          "source": "db"
        },
        "dimension_id": 56,
        "input_skill": "GitHub",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 280,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
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        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "AI Chatbots",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Twilio",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1599,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Vendor Product Families",
          "id": 477,
          "rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
          "slug": "vendor-product-families",
          "source": "db"
        },
        "dimension_id": 477,
        "input_skill": "Salesforce",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Engineering Manager",
            "id": 121,
            "rationale": null,
            "role_archetype": null,
            "slug": "engineering-manager",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 4632,
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        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
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          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "Prompt Engineering",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1207,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 13,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "React Frontend Development",
          "id": 96,
          "rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
          "slug": "d_init_01",
          "source": "db"
        },
        "dimension_id": 96,
        "input_skill": "RAG",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [],
        "skill_dimension_saved": true,
        "skill_id": 1194,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 3
  },
  "planner_output": null,
  "run_id": "c73fd215-a10d-4c65-a629-ab4c52242ed7"
}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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