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Pipeline run

99afdc94-b636-4148-b3c3-bbf9f297e813

Pipeline LLM cost (USD)
API 1: $0.0083 API 2: $0.0004 API 3: $0.0000 Total: $0.0087

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · test automation / QA engineering
Build and maintain Python-based automated tests for embedded systems, then debug failures from logs and CI runs while improving coverage, test plans, and defect reporting with cross-functional teams.
"Design, develop, and maintain automation tests using Python"
Tech stack maturity
Mainstream Modern
The stack centers on widely adopted modern testing tools like Python and pytest, which are current mainstream technologies without indicating cloud-native or bleeding-edge characteristics.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (18)
Python Ruby pytest unittest Robot Framework Linux Shell Scripting Continuous Integration CAN UART SPI I2C Ethernet Functional Testing Regression Testing Smoke Testing Performance Testing Embedded Development
Skill cluster (2 dimension groups, role-scoped)
Python Programming
Python
Cross-cutting / unaligned
Ruby pytest unittest Robot Framework Linux Shell Scripting Continuous Integration CAN UART SPI I2C Ethernet Functional Testing Regression Testing Smoke Testing Performance Testing Embedded Development
Show KRA description ↓
-Design, develop, and maintain automation tests using Python -Collaborate with cross-functional teams to define, design, and ship new test cases -Ensure test automation best practices and coding standards are followed. -Contribute to continuous improvement of testing processes, tools, and coverage. -Maintain test documentation, test plans, and defect reports -Debug test failures, analyze logs, and provide actionable insights to developers. -3–7 years of hands-on experience in test automation using Python/Ruby. -Knowledge about embedded development -Strong Experience working with Python test frameworks [pytest, unittest, Robot Framework] -Solid understanding of software testing methodologies (functional, regression, smoke, performance). -Strong debugging and problem-solving skills. -Good understanding of Linux environments, basic shell scripting. -Proficiency in source-code management, software building, and continuous integration -Knowledge of communication protocols (CAN, UART, SPI, I2C, ethernet) -High ability to work autonomously -High technological affinity -Analytical capability: relevant information gathering, structured analysis approach, aim-oriented interpretation acumen -Communication proficiency in English, both oral and in writing -Assertiveness -Able to work in Team constellation

Signals

Skill python-backend-developer
0.18
Alias
KRA devops-engineer
0.53

Post-classification

Centroidupdated · n=5
Alias collision log
New-role queue
New skills captured13
New KRA capturedyes

Captured for admin review

Robot Framework primary Test Automation Engineer pending
Embedded Development Test Automation Engineer pending
Linux primary Test Automation Engineer pending
Shell Scripting primary Test Automation Engineer pending
Continuous Integration primary Test Automation Engineer pending
CAN primary Test Automation Engineer pending
UART primary Test Automation Engineer pending
SPI primary Test Automation Engineer pending
I2C primary Test Automation Engineer pending
Ethernet primary Test Automation Engineer pending
Functional Testing primary Test Automation Engineer pending
Smoke Testing primary Test Automation Engineer pending
Performance Testing primary Test Automation Engineer pending
R&R fragment (sim 0.00) Test Automation Engineer pending

-Design, develop, and maintain automation tests using Python -Collaborate with cross-functional teams to define, design, and ship new test cases -Ensure test automation best practices and coding stand…

Status: completed Created: 2026-05-27T13:40:39.901250Z Updated: 2026-05-27T13:42:18.008704Z API 3 duration: 18202 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Test Automation Engineer

domain · Testing & Quality CASE DOMAIN

slug: test-automation-engineer · id: 52 · source: db

Domain=Testing & Quality; The JD is centered on Python-based test automation, test frameworks, CI/builds, and debugging automated tests, which best matches Test Automation Engineer.

Matched skills

PythonRubypytestunittestRobot Frameworkembedded developmentLinux environmentsbasic shell scriptingsource-code managementcontinuous integrationCANUARTSPII2Cethernet

Matched dimensions

Test AutomationTest FrameworksSoftware Testing MethodologiesEmbedded TestingDebugging and Root Cause AnalysisCI/CD and Source ControlCross-functional CollaborationDocumentation and Test Reporting

Matched KRAs

Design, develop, and maintain automation tests using PythonCollaborate with cross-functional teams to define, design, and ship new test casesEnsure test automation best practices and coding standards are followedContribute to continuous improvement of testing processes, tools, and coverageMaintain test documentation, test plans, and defect reportsDebug test failures, analyze logs, and provide actionable insights

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

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

Job description

Project Role : Custom Software Engineer

Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : Automotive ECU Software

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary: We are looking for an experienced Test Automation Engineer to design, develop, and maintain robust automated test frameworks for our software and embedded systems. The ideal candidate will have strong expertise in Python, testing strategies, CI/CD systems, and hands-on experience validating high-quality products. Roles & Responsibilities: -Design, develop, and maintain automation tests using Python -Collaborate with cross-functional teams to define, design, and ship new test cases -Ensure test automation best practices and coding standards are followed. -Contribute to continuous improvement of testing processes, tools, and coverage. -Maintain test documentation, test plans, and defect reports -Debug test failures, analyze logs, and provide actionable insights to developers. Professional & Technical Skills: -High ability to work autonomously -High technological affinity -Analytical capability: relevant information gathering, structured analysis approach, aim-oriented interpretation acumen -Communication proficiency in English, both oral and in writing -Assertiveness -Able to work in Team constellation Must have : -3–7 years of hands-on experience in test automation using Python/Ruby. -Knowledge about embedded development -Strong Experience working with Python test frameworks [pytest, unittest, Robot Framework] -Solid understanding of software testing methodologies (functional, regression, smoke, performance). -Strong debugging and problem-solving skills. -Good understanding of Linux environments, basic shell scripting. -Proficiency in source-code management, software building, and continuous integration -Knowledge of communication protocols (CAN, UART, SPI, I2C, ethernet) Good to Have: -Automotive SPICE (ASPICE) knowledge -Cyber Security (preferably ISO/IEC 27001:2022) -Preferred training: iSAQB Certified Professional for Software Architecture - Foundation Level Additional Information: -Bachelor’s degree in computer science/engineering or similar degree, 15 years full time education

Skills from this JD

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

Python Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Python id=5 · python

Aliases — catalog

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

Context tags (catalog)

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

Stored enrichment (catalog DB)

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

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

Skill profile (library / DB)

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

Dimensions (API 2 worklist)

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

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Programming Languages Catalog dimension db id 1

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Fullstack Developer

  • 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: 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 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)
Ruby Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Ruby id=300 · ruby

Aliases — catalog

  • Ruby (CANONICAL) primary
  • CRuby (VERSION)
  • MRI (VERSION)
  • Ruby 2 (VERSION)
  • Ruby 2.6 (VERSION)
  • Ruby 2.7 (VERSION)
  • Ruby 2.x (VERSION)
  • Ruby 3 (VERSION)
  • Ruby 3.2 (VERSION)
  • Ruby 3.3 (VERSION)
  • Ruby 3.x (VERSION)
  • ruby 3 (VERSION)
  • ruby 3.3 (VERSION)
  • ruby 3.x (VERSION)
  • ruby3 (VERSION)
  • ruby3.3 (VERSION)
  • ruby3.x (VERSION)

Context tags (catalog)

API ActiveJob ActiveRecord Bundler Capistrano Capybara ERB Gem Gemfile JRuby MVC Minitest Puma RSpec Rails Rake Rubocop Sidekiq Sinatra YAML

Stored enrichment (catalog DB)

Category
Language
Sub-category
Programming Language
Vendor
Ruby Association
License
mit
Year introduced
1995
Confidence
0.99
Version strategy
SEPARATE_ENTITY
Version tag
3.3

Maturity reasoning: Ruby remains common in job postings, especially for Rails backends and legacy web stacks; it’s still a standard hiring-pipeline language rather than a niche or sunset tech.

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)

  • Programming Languages and Scripting Catalog dimension db id 59

    Library dimension (catalog)

    Roles linked in library: Cyber Security Engineer

  • Ruby Language and Syntax Catalog dimension db id 415

    Library dimension (catalog)

    Roles linked in library: Ruby Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ruby Language and Syntax
ruby-language-and-syntax
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
pytest Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: pytest id=2370 · pytest

Aliases — catalog

  • pytest (CANONICAL) primary

Context tags (catalog)

assert command line options coverage report fixture mock parameterized tests plugins pytest-bdd pytest-cov pytest-xdist test discovery test runner test suite tox unittest

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Testing Tool
Vendor
pytest-dev
License
mit
Year introduced
2014
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Pytest appears in many Python job descriptions and is a standard testing tool in the Python ecosystem, with broad GitHub usage and active maintenance.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
513
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
unittest Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: unittest id=2371 · unittest

Aliases — catalog

  • unittest (CANONICAL) primary

Context tags (catalog)

assertion coverage exception handling integration testing mocking parameterized tests patching setUp tearDown test case test discovery test fixture test runner test suite unit testing

Stored enrichment (catalog DB)

Category
Library
Sub-category
Testing Library
Vendor
Python Software Foundation
License
unknown
Year introduced
2001
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Python's built-in unittest is a standard testing library and appears in many job descriptions alongside pytest; no vendor sunset or replacement has displaced it.

Skill profile (library / DB)

Skill nature
LIBRARY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
7
Sub-category id
491
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Robot Framework Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Operating Systems
Sub-category
general
Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Shell Scripting Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Programming Languages
Sub-category
general
Skill nature
LANGUAGE
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Continuous Integration Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Communication Protocols
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
I2C Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

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

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Networking Technologies
Sub-category
general
Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Version strategy
UNVERSIONED
Functional Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Integration testing id=56 · integration-testing

Aliases — catalog

  • Integration testing (CANONICAL) primary
  • integration testing (CANONICAL)

Context tags (catalog)

API testing CI/CD Cucumber JUnit Selenium behavior-driven development continuous integration contract testing end-to-end end-to-end testing fixtures mocking pytest quality assurance regression testing smoke testing stubs system testing test automation test cases test coverage test data test frameworks test harness test strategy test suite test-driven development

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Testing Methodology
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: Integration testing is a standard QA skill in job descriptions across backend, frontend, and DevOps roles; it’s commonly paired with CI/CD and tools like Jest, Cypress, and Testcontainers.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
44
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Testing and Defect Resolution Catalog dimension db id 262

    Library dimension (catalog)

    Roles linked in library: Pega Developer

  • Testing and Quality Assurance Catalog dimension db id 12

    Library dimension (catalog)

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

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Testing and Defect Resolution
testing-and-defect-resolution
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Testing and Quality Assurance
testing-and-quality-assurance
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Regression Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Regression testing id=3758 · regression-testing

Aliases — catalog

  • Regression testing (CANONICAL) primary

Context tags (catalog)

bug tracking continuous integration defect management integration tests quality assurance smoke testing test automation test cases test coverage test plan test strategy test suite unit tests user acceptance testing version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Regression Testing
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Regression testing is a standard QA practice in most software JDs and test plans; CI/CD tools and vendor docs routinely include it as a core safeguard against reintroducing bugs.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
2940
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Magento Testing and Upgrade Safety Catalog dimension db id 405

    Library dimension (catalog)

    Roles linked in library: Magento Dev

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Magento Testing and Upgrade Safety
magento-testing-and-upgrade-safety
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Smoke Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Smoke tests id=1545 · smoke-tests

Aliases — catalog

  • Smoke tests (CANONICAL) primary

Context tags (catalog)

QA process acceptance criteria build verification continuous integration defect detection regression testing release management software quality test automation test case test coverage test strategy test suite validation verification

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Verification Testing
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Smoke tests are a standard CI/CD gate and appear in many QA/SDET job descriptions; they’re broadly used to verify critical paths after deploys, not a niche or sunset practice.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
1149
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Production Readiness Validation Catalog dimension db id 223

    Library dimension (catalog)

    Roles linked in library: MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Production Readiness Validation
production-readiness-validation
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Performance Testing Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Testing Tools
Sub-category
general
Skill nature
PRACTICE
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
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 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)
Ruby in_db
Programming Languages and Scripting
programming-languages-and-scripting
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Ruby in_db
Ruby Language and Syntax
ruby-language-and-syntax
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
pytest in_db
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
unittest in_db
Testing and Quality Assurance
testing-and-quality-assurance
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Functional Testing new
Testing and Defect Resolution
testing-and-defect-resolution
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Functional Testing new
Testing and Quality Assurance
testing-and-quality-assurance
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Regression Testing in_db
Magento Testing and Upgrade Safety
magento-testing-and-upgrade-safety
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Smoke Testing new
Production Readiness Validation
production-readiness-validation
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Robot Framework | type=Testing Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Embedded Development | type=Development Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Linux | type=Operating Systems subtype=general nature=PLATFORM lifespan=EVERGREEN
canonical_skill_proposed Shell Scripting | type=Programming Languages subtype=general nature=LANGUAGE lifespan=EVERGREEN
canonical_skill_proposed Continuous Integration | type=Development Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed CAN | type=Communication Protocols subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed UART | type=Communication Protocols subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed SPI | type=Communication Protocols subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed I2C | type=Communication Protocols subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Ethernet | type=Networking Technologies subtype=general nature=CONCEPT lifespan=EVERGREEN
canonical_skill_proposed Performance Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
dimension_skill_link_proposed Functional Testing ↔ Testing and Defect Resolution
dimension_skill_link_proposed Functional Testing ↔ Testing and Quality Assurance
dimension_skill_link_proposed Smoke Testing ↔ Production Readiness Validation
nano JD Parser — gpt-4.1-nano click to toggle
RoleCustom Software Engineer
ExperienceMinimum 3 Year(s) Of Experience Is Required
DomainAutomotive
JD type pass

Certifications

iSAQB Certified Professional for Software Architecture - Foundation Level
Show raw JSON
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  "certifications": [
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        "last_5_words": "and provide actionable insights to developers."
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        "last_5_words": "protocols (CAN, UART, SPI, I2C, ethernet)"
      },
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API 1 — extract-from-jd click to toggle
{
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    },
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}
API 2 — extract-details
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      "matched_via": "alias"
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    {
      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
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        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "uart",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "SPI",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Communication Protocols",
          "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": "spi",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "I2C",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Communication Protocols",
          "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": "i2c",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Ethernet",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Networking Technologies",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "EVERGREEN",
          "version_strategy": "UNVERSIONED",
          "volatility": "STABLE"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "ethernet",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Integration testing",
          "alias_type": "CANONICAL",
          "id": 2945,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "integration testing",
          "alias_type": "CANONICAL",
          "id": 193,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Integration testing",
        "id": 56,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "integration-testing",
        "sub_category_id": 44,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Testing and Defect Resolution",
            "id": 262,
            "rationale": "Validates Pega rules, flows, and integrations and then troubleshoots defects found in lower environments or production. This is a coherent cluster because the role is expected to verify platform behavior and fix rule-level issues.",
            "slug": "testing-and-defect-resolution",
            "source": "db"
          },
          "input_skill": "Functional Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Pega Developer",
              "id": 24,
              "rationale": null,
              "role_archetype": null,
              "slug": "pega-developer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Testing and Quality Assurance",
            "id": 12,
            "rationale": "Backend-specific test strategies used to validate service behavior and integration points. Covers automated test layers, contract checks, fixtures, and regression prevention.",
            "slug": "testing-and-quality-assurance",
            "source": "db"
          },
          "input_skill": "Functional Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": ".NET Backend Developer",
              "id": 83,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "dotnet-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "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": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Functional Testing",
      "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": [
        {
          "alias_text": "Regression testing",
          "alias_type": "CANONICAL",
          "id": 5380,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Regression testing",
        "id": 3758,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "regression-testing",
        "sub_category_id": 2940,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Magento Testing and Upgrade Safety",
            "id": 405,
            "rationale": "Validation practices used to keep Magento customizations stable across releases and platform upgrades. This cluster is coherent because Magento work must protect storefront behavior while remaining compatible with core and extension updates.",
            "slug": "magento-testing-and-upgrade-safety",
            "source": "db"
          },
          "input_skill": "Regression Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Magento Dev",
              "id": 231,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "magento-dev",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Regression Testing",
      "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": "Smoke tests",
          "alias_type": "CANONICAL",
          "id": 2467,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Smoke tests",
        "id": 1545,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "smoke-tests",
        "sub_category_id": 1149,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Production Readiness Validation",
            "id": 223,
            "rationale": "Checks and criteria used to decide whether a model is safe to promote into production. This includes readiness reviews, acceptance criteria, and operational sign-off before release.",
            "slug": "production-readiness-validation",
            "source": "db"
          },
          "input_skill": "Smoke Testing",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "MLOps Engineer",
              "id": 16,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-ops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Smoke Testing",
      "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": "Performance Testing",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Testing Tools",
          "skill_nature": "PRACTICE",
          "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": "performance-testing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Robot Framework",
    "Embedded Development",
    "Linux",
    "Shell Scripting",
    "Continuous Integration",
    "CAN",
    "UART",
    "SPI",
    "I2C",
    "Ethernet",
    "Performance Testing"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Test Automation Engineer",
    "id": 52,
    "rationale": "Domain=Testing \u0026 Quality; The JD is centered on Python-based test automation, test frameworks, CI/builds, and debugging automated tests, which best matches Test Automation Engineer.",
    "role_archetype": "QA",
    "slug": "test-automation-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Python",
      "tag": "in_db"
    },
    {
      "skill": "Ruby",
      "tag": "in_db"
    },
    {
      "skill": "pytest",
      "tag": "in_db"
    },
    {
      "skill": "unittest",
      "tag": "in_db"
    },
    {
      "skill": "Robot Framework",
      "tag": "new"
    },
    {
      "skill": "Embedded Development",
      "tag": "new"
    },
    {
      "skill": "Linux",
      "tag": "new"
    },
    {
      "skill": "Shell Scripting",
      "tag": "new"
    },
    {
      "skill": "Continuous Integration",
      "tag": "new"
    },
    {
      "skill": "CAN",
      "tag": "new"
    },
    {
      "skill": "UART",
      "tag": "new"
    },
    {
      "skill": "SPI",
      "tag": "new"
    },
    {
      "skill": "I2C",
      "tag": "new"
    },
    {
      "skill": "Ethernet",
      "tag": "new"
    },
    {
      "skill": "Functional Testing",
      "tag": "in_db"
    },
    {
      "skill": "Regression Testing",
      "tag": "in_db"
    },
    {
      "skill": "Smoke Testing",
      "tag": "in_db"
    },
    {
      "skill": "Performance Testing",
      "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": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Security Scripting \u0026 DSL Languages",
          "id": 248,
          "rationale": "Proficiency in programming and domain-specific languages used to automate and script cloud security controls.",
          "slug": "cloud-security-scripting-dsl-languages",
          "source": "db"
        },
        "dimension_id": 248,
        "input_skill": "Python",
        "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": "Cloud Security Engineer",
            "id": 23,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-security-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages",
          "id": 1,
          "rationale": "Primary implementation languages used to build client and server feature code. Full stack engineers need enough fluency to move across layers and implement product behavior end to end.",
          "slug": "programming-languages",
          "source": "db"
        },
        "dimension_id": 1,
        "input_skill": "Python",
        "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": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Fullstack Developer",
            "id": 15,
            "rationale": null,
            "role_archetype": null,
            "slug": "full-stack-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages and Scripting",
          "id": 59,
          "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
          "slug": "programming-languages-and-scripting",
          "source": "db"
        },
        "dimension_id": 59,
        "input_skill": "Python",
        "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": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for Data Work",
          "id": 21,
          "rationale": "Languages used to implement data pipelines, transformations, and operational glue. This is the primary coding surface for building ingestion, enrichment, and automation logic in data engineering.",
          "slug": "programming-languages-for-data-work",
          "source": "db"
        },
        "dimension_id": 21,
        "input_skill": "Python",
        "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": "Data Engineer",
            "id": 2,
            "rationale": null,
            "role_archetype": null,
            "slug": "data-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for ML Systems",
          "id": 39,
          "rationale": "Languages used to build training code, inference services, evaluation jobs, and ML glue code. This is the primary implementation surface for ML engineers across experimentation and productionization.",
          "slug": "programming-languages-for-ml-systems",
          "source": "db"
        },
        "dimension_id": 39,
        "input_skill": "Python",
        "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"
          },
          {
            "display_name": "MLOps Engineer",
            "id": 16,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-ops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages for XR",
          "id": 97,
          "rationale": "Primary implementation languages used to build immersive client features, interaction logic, and device-specific runtime behavior. This is the core coding surface for AR/VR experiences.",
          "slug": "programming-languages-for-xr",
          "source": "db"
        },
        "dimension_id": 97,
        "input_skill": "Python",
        "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": "AR/VR Engineer",
            "id": 8,
            "rationale": null,
            "role_archetype": null,
            "slug": "ar-vr-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Python Programming",
          "id": 290,
          "rationale": "Core Python language skills used to implement backend business logic, request handlers, integrations, and service internals. This is the primary coding surface for the role.",
          "slug": "python-programming",
          "source": "db"
        },
        "dimension_id": 290,
        "input_skill": "Python",
        "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": "Python Backend Developer",
            "id": 80,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "python-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 5,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Programming Languages and Scripting",
          "id": 59,
          "rationale": "Languages used to write security automation, analysis scripts, detection logic, and remediation helpers. This is the primary implementation surface for a cybersecurity engineer across tooling and response workflows.",
          "slug": "programming-languages-and-scripting",
          "source": "db"
        },
        "dimension_id": 59,
        "input_skill": "Ruby",
        "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": "Cyber Security Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 300,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 52,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Ruby Language and Syntax",
          "id": 415,
          "rationale": "Core Ruby implementation skills used to build backend business logic, helpers, and service internals. This is the primary coding surface for the role and includes idiomatic Ruby used in production codebases.",
          "slug": "ruby-language-and-syntax",
          "source": "db"
        },
        "dimension_id": 415,
        "input_skill": "Ruby",
        "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": "Ruby Backend Developer",
            "id": 85,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "ruby-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 300,
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          {
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        ],
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          {
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        ],
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        "skipped_reason": "skill_not_in_db_v3_proposed"
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    "skill_dimension_saved": 0,
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}

LLM Calls

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

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