Pipeline run
c73fd215-a10d-4c65-a629-ab4c52242ed7
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
AI Engineer
CASE Aslug: 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.
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.
Aliases — catalog
- Claude Code (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Soft Skills
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- Codex (CANONICAL)
Context tags (catalog)
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) |
Aliases — catalog
- Cursor (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Workflow Automation Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Make (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Workflow Automation Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- LangChain (CANONICAL) primary
Context tags (catalog)
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 |
Aliases — catalog
- OpenAI API (CANONICAL) primary
Context tags (catalog)
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
|
Aliases — catalog
- Anthropic API (CANONICAL) primary
Context tags (catalog)
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
|
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)
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) |
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)
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) |
Aliases — catalog
- REST APIs (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- JSON (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- webhooks (CANONICAL) primary
- Webhooks (CANONICAL)
Context tags (catalog)
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) |
Aliases — catalog
- Git (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- GitHub (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Artificial Intelligence
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Artificial Intelligence
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Chatbots (CANONICAL)
Context tags (catalog)
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
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Artificial Intelligence
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Artificial Intelligence
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- FAST
- Typical lifespan
- SHORT_LIVED
- Version strategy
- VERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Artificial Intelligence
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- AI Technologies
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- AI Technologies
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- AI Technologies
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- AI Technologies
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Twilio (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Communication Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- CRM Tools
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Salesforce (CANONICAL) primary
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- CRM Tools
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Communication Tools
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Cloud Platforms
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Cloud Platforms
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Prompt engineering (CANONICAL)
Context tags (catalog)
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) |
Aliases — catalog
- RAG (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- 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
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",
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"raw": "Bachelor\u0027s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.",
"requirement": "required"
}
],
"experience": {
"max": null,
"min": null,
"raw": null
},
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{
"aliases": [],
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"country": null,
"state": null,
"work_mode": "remote"
}
],
"notice_period": {
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"raw": null
},
"open_to_relocate": false,
"role": "AI GTM Engineer (AI Automation)",
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{
"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.",
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},
{
"dimension": null,
"is_primary": true,
"layer": "L1",
"layer_source": "promoted",
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"skill_name": "Codex"
},
{
"dimension": null,
"is_primary": true,
"layer": "L1",
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"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",
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"skill_name": "n8n"
},
{
"dimension": null,
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"layer": "L1",
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"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"
},
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"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",
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"skill_name": "JavaScript"
},
{
"dimension": null,
"is_primary": true,
"layer": "L1",
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"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",
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"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": [],
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"company": null,
"companySize": null,
"ctc": {
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},
"educationRequirements": [
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],
"experience": {
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},
"industryDomain": "Software \u0026 SaaS Products",
"knockouts": {
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},
"educationRequirements": [
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],
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},
"location": [
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],
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},
"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)",
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"role_aliases": [
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"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": [],
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"company_name": null,
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"ctc": null,
"domain": {
"primary": {
"aliases": [
"SaaS",
"Product Companies"
],
"domain": "Software \u0026 SaaS Products"
},
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},
"education": [
{
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"requirement": "required"
}
],
"experience": {
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},
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{
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"work_mode": "remote"
}
],
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},
"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",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 13,
"score": 1.0,
"slug": "ai-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "AI Engineer",
"kra_matches": [
{
"kra_text": "Integrates AI model API responses with application business logic, database writes, event publishing, and downstream service orchestration.",
"sentence": "Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.",
"similarity": 0.594
},
{
"kra_text": "Designs and implements prompt engineering workflows, few-shot examples, chain-of-thought patterns, and structured output parsing for AI feature pipelines.",
"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,
"matched_skills": null,
"role_id": 13,
"score": 0.5596,
"slug": "ai-engineer",
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},
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "integrate external APIs and data sources",
"sentence": "Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.",
"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.",
"similarity": 0.5098
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.5467,
"slug": "flutter-developer",
"total_count": null
},
{
"display_name": "MLOps Engineer",
"kra_matches": [
{
"kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
"sentence": "Automate repetitive GTM processes using APIs, webhooks, and workflow automation platforms.",
"similarity": 0.5144
},
{
"kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
"sentence": "Measure performance of automations and continuously optimize them.",
"similarity": 0.5001
},
{
"kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
"sentence": "Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.",
"similarity": 0.489
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 16,
"score": 0.5012,
"slug": "ml-ops-engineer",
"total_count": null
},
{
"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.",
"sentence": "\u25ba Experience deploying AI applications to production",
"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
},
{
"kra_text": "Manages AI deployment approval workflows, periodic reassessment calendars, and conditional authorization records for production AI systems.",
"sentence": "Build AI-powered workflows to improve lead generation, qualification, outreach, and customer engagement.",
"similarity": 0.4747
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 12,
"score": 0.5004,
"slug": "ai-compliance-officer",
"total_count": null
},
{
"display_name": ".NET Backend Developer",
"kra_matches": [
{
"kra_text": "internal and third-party system integration",
"sentence": "Integrate CRMs, communication platforms, AI models, and third-party SaaS applications.",
"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",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "Fullstack Developer",
"kra_matches": null,
"matched_count": 4,
"matched_skills": [
"JSON",
"JavaScript",
"Python",
"REST APIs"
],
"role_id": 15,
"score": 0.1111,
"slug": "full-stack-engineer",
"total_count": 36
},
{
"display_name": "Fullstack Developer",
"kra_matches": null,
"matched_count": 4,
"matched_skills": [
"JSON",
"JavaScript",
"Python",
"REST APIs"
],
"role_id": 435,
"score": 0.1111,
"slug": "fullstack-developer",
"total_count": 36
},
{
"display_name": "Python Backend Developer",
"kra_matches": null,
"matched_count": 4,
"matched_skills": [
"JSON",
"Python",
"REST APIs",
"webhooks"
],
"role_id": 80,
"score": 0.1111,
"slug": "python-backend-developer",
"total_count": 36
},
{
"display_name": "Node.js Backend Developer",
"kra_matches": null,
"matched_count": 4,
"matched_skills": [
"JSON",
"JavaScript",
"REST APIs",
"webhooks"
],
"role_id": 82,
"score": 0.1111,
"slug": "node-backend-developer",
"total_count": 36
},
{
"display_name": "Backend Developer",
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"matched_count": 4,
"matched_skills": [
"JavaScript",
"Python",
"REST APIs",
"webhooks"
],
"role_id": 1,
"score": 0.1111,
"slug": "backend-engineer",
"total_count": 36
}
]
},
"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",
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},
"confidence": 1.0,
"consensus_evidence": {},
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"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",
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},
{
"is_primary": true,
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"role_display_name": "AI Engineer",
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"skill_name": "n8n",
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},
{
"is_primary": true,
"queue_id": 26195,
"role_display_name": "AI Engineer",
"role_slug": "ai-engineer",
"skill_name": "Zapier",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 26196,
"role_display_name": "AI Engineer",
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"skill_name": "OpenAI APIs",
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},
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"is_primary": true,
"queue_id": 26197,
"role_display_name": "AI Engineer",
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"skill_name": "Anthropic APIs",
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},
{
"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",
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"skill_name": "AI Chatbots",
"status": "pending"
},
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"is_primary": true,
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"role_display_name": "AI Engineer",
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"skill_name": "AI Assistants",
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},
{
"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",
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"skill_name": "LiveKit",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 26209,
"role_display_name": "AI Engineer",
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"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",
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},
{
"is_primary": true,
"queue_id": 26212,
"role_display_name": "AI Engineer",
"role_slug": "ai-engineer",
"skill_name": "Google Workspace",
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},
{
"is_primary": true,
"queue_id": 26213,
"role_display_name": "AI Engineer",
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"skill_name": "Microsoft 365",
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},
{
"is_primary": false,
"queue_id": 26214,
"role_display_name": "AI Engineer",
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"skill_name": "MCP",
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}
],
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"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,
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"is_extractable": true,
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"is_extractable": true,
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"matched_via": "alias"
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 1363,
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"display_name": "Make",
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"is_extractable": true,
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"existing_alias_text": "LangChain",
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"is_extractable": true,
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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"matched_via": "embedding_alias"
},
{
"alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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"matched_canonical": {
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"is_extractable": true,
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"slug": "anthropic-api",
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"matched_via": "embedding_alias"
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 1028,
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"is_extractable": true,
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"typical_lifespan": "EVERGREEN",
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"matched_via": "alias"
},
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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},
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},
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"matched_canonical": {
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"is_also_category": false,
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"typical_lifespan": "EVERGREEN",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 3018,
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"is_extractable": true,
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 3507,
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"display_name": "webhooks",
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"is_also_category": false,
"is_extractable": true,
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},
"matched_via": "alias"
},
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 1613,
"existing_alias_text": "Git",
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"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
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"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"existing_alias_text": "GitHub",
"input_term": "GitHub",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
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"sub_category_id": 170,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
"alias_persisted": false,
"existing_alias_id": 1834,
"existing_alias_text": "Chatbots",
"input_term": "AI Chatbots",
"matched_canonical": {
"category_id": 2,
"display_name": "Chatbots",
"id": 1198,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "chatbots",
"sub_category_id": 908,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "embedding_alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 2551,
"existing_alias_text": "Twilio",
"input_term": "Twilio",
"matched_canonical": {
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"display_name": "Twilio",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "twilio",
"sub_category_id": 1204,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 6567,
"existing_alias_text": "Salesforce",
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"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [],
"canonical": null,
"dimensions": [],
"input_skill": "Voice 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": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "voice-agents",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Chatbots",
"alias_type": "CANONICAL",
"id": 1834,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "Chatbots",
"id": 1198,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "chatbots",
"sub_category_id": 908,
"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": "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",
"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": "Claude Code",
"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": [],
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"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
},
{
"chosen_role_id": 13,
"dimension": {
"difficulty_hint": "well_known",
"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": {
"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": "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
},
{
"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": "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": {
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"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,
"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": "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.