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Pipeline run

cfb7e559-c2ed-4621-92a9-1e3e973dcf8a

Pipeline LLM cost (USD)
API 1: $0.0071 API 2: $0.0003 API 3: $0.0000 Total: $0.0073

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work no kras
Vague JD — no KRAs present to derive a specific nature of work.
Tech stack maturity
Mainstream Modern
The skill mix centers on established QA and data-platform tooling like regression testing, SDLC, unit testing, and Snowflake, which is characteristic of modern but not bleeding-edge technology stacks.
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 (10)
Snowflake Data Warehouse QA SDLC User Acceptance Testing Acceptance Testing Regression Testing System Integration Testing SIT Unit Testing
Skill cluster (1 dimension groups, role-scoped)
Cross-cutting / unaligned
Snowflake Data Warehouse QA SDLC User Acceptance Testing Acceptance Testing Regression Testing System Integration Testing SIT Unit Testing

Signals

Skill data-engineer
0.10
Alias
KRA cloud-architect
0.39

Post-classification

Centroidupdated · n=12
Alias collision log
New-role queue
New skills captured6
New KRA captured

Captured for admin review

Data Warehouse primary Manual Test Engineer pending
QA primary Manual Test Engineer pending
User Acceptance Testing primary Manual Test Engineer pending
Acceptance Testing primary Manual Test Engineer pending
System Integration Testing primary Manual Test Engineer pending
SIT primary Manual Test Engineer pending
Status: completed Created: 2026-05-27T17:40:46.659658Z Updated: 2026-06-07T08:00:57.800712Z API 3 duration: 2514 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

Manual Test Engineer

domain · Testing & Quality CASE DOMAIN

slug: manual-test-engineer · id: 65 · source: db

Domain=Testing & Quality; The JD is centered on QA/testing activities such as manual or automated test execution, UAT, regression, SIT, and unit testing, which best matches a Manual Test Engineer role despite mentioning Snowflake as a skill.

Matched skills

Snowflake Data WarehouseSDLCUATSITunit testingregression testing

Matched dimensions

Manual and functional testingTest strategy and planningSystem integration and acceptance testingDefect logging and analysisQA lifecycle support

Matched KRAs

Collaborate with QA Engineers to develop effective strategies and test plansExecute test cases manual or automated and analyze resultsEvaluate product code according to specificationsCreate logs to document testing phases and defectsPerform unit testing and support in all phases of testing

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
0
Skipped

Job description

About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song-all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at accenture.com

• Management Level :11
• Work Experience :Min 2 years
• Work location :Hyderabad
• Job Requirements : 
• Project Role :Application DeveloperProject Role Description :Design, build and configure applications to meet business process and application requirements. Must have Skills : Snowflake Data Warehouse, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Review and analyze system specifications - Collaborate with QA Engineers to develop effective strategies and test plans - Execute test cases manual or automated and analyze results - Evaluate product code according to specifications - Create logs to document testing phases and defectsTechnical Experience :Project/QA Life cycle SDLC from Requirement analysis to User acceptance Testing - Acceptance Testing UAT - Regression testing - Involved in SIT system integration testing - Perform unit testing and support in all phases of testingProfessional Attributes :Adaptability and FlexibilityEducational Qualification:Additional Info :

15 years of 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.

Snowflake Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Snowflake id=105 · snowflake

Aliases — catalog

  • Snowflake (CANONICAL) primary

Context tags (catalog)

ELT ETL SQL Snowpark Snowpipe Streams Tasks Time Travel VARIANT data sharing data warehouse dbt semi-structured data virtual warehouse zero-copy cloning

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Data Cloud Platform
Vendor
Snowflake Inc.
License
proprietary
Year introduced
2012
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Snowflake appears frequently in data/analytics job postings and is a standard cloud data warehouse platform alongside BigQuery and Redshift.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
113
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Cloud Data Warehouses Catalog dimension db id 22

    Library dimension (catalog)

    Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Data Warehouse 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
Databases
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
QA Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

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

Derived legacy fields
Category
Soft Skills
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
SDLC Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: SDLC id=1573 · sdlc

Aliases — catalog

  • SDLC (CANONICAL)

Context tags (catalog)

Agile Continuous Deployment Continuous Integration Deployment Strategies DevOps Documentation Kanban Quality Assurance Requirements Gathering Risk Management Scrum Stakeholder Engagement Testing Phases Version Control Waterfall

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Software Development Lifecycle
Confidence
0.88
Version strategy
NOT_APPLICABLE

Maturity reasoning: SDLC is a standard hiring-pipeline term across software roles; job postings commonly require experience with SDLC phases, Agile/Waterfall, and release processes rather than treating it as niche tooling.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
1179
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)
User Acceptance 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
Acceptance 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
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)
System Integration 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
SIT 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
Unit Testing Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Unit Testing id=517 · unit-testing

Aliases — catalog

  • Unit Testing (CANONICAL)

Context tags (catalog)

JUnit NUnit TDD arrange-act-assert assertions code coverage fixtures mocking pytest regression stubs test cases test doubles test runner xUnit

Stored enrichment (catalog DB)

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

Maturity reasoning: Unit testing is a standard hiring requirement across software JDs and appears in mainstream frameworks/docs; GitHub and Stack Overflow usage remain consistently high, with no successor replacing it.

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)

  • 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)

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
Snowflake in_db
Cloud Data Warehouses
cloud-data-warehouses
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SDLC in_db
React Frontend Development
d_init_01
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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)
Unit Testing 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 Data Warehouse | type=Databases subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed QA | type=Soft Skills subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed User Acceptance Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Acceptance Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed System Integration Testing | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed SIT | type=Testing Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
nano JD Parser — gpt-4.1-nano click to toggle
JD type fail
Show raw JSON
{
  "JD_type": "fail",
  "archetype_override_applied": true,
  "archetype_override_matched_skills": [
    "Integration testing",
    "Snowflake",
    "Unit Testing",
    "SDLC",
    "Cloud",
    "Role",
    "Location",
    "Regression testing"
  ],
  "role_archetype": "Engineering"
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Snowflake"
    },
    {
      "is_primary": true,
      "skill_name": "Data Warehouse"
    },
    {
      "is_primary": true,
      "skill_name": "QA"
    },
    {
      "is_primary": true,
      "skill_name": "SDLC"
    },
    {
      "is_primary": true,
      "skill_name": "User Acceptance Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Acceptance Testing"
    },
    {
      "is_primary": true,
      "skill_name": "Regression Testing"
    },
    {
      "is_primary": true,
      "skill_name": "System Integration Testing"
    },
    {
      "is_primary": true,
      "skill_name": "SIT"
    },
    {
      "is_primary": true,
      "skill_name": "Unit Testing"
    }
  ],
  "jd_role": null,
  "nano_parsed": {
    "JD_type": "fail",
    "archetype_override_applied": true,
    "archetype_override_matched_skills": [
      "Integration testing",
      "Snowflake",
      "Unit Testing",
      "SDLC",
      "Cloud",
      "Role",
      "Location",
      "Regression testing"
    ],
    "role_archetype": "Engineering"
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "cfb7e559-c2ed-4621-92a9-1e3e973dcf8a",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "Cloud Architect",
        "kra_matches": [
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Project Role :Application DeveloperProject Role Description :Design, build and configure applications to meet business process and application requirements.",
            "similarity": 0.4516
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Must have Skills : Snowflake Data Warehouse, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Review and analyze system specifications - Collaborate with QA Engineers to develop effective strategies and test plans - Execute test cases manual or automated and analyze results - Evaluate product code according to specifications - Create logs to document testing phases and defectsTechnical Experience :Project/QA Life cycle SDLC from Requirement analysis to User acceptance Testing - Acceptance Testing UAT - Regression testing - Involved in SIT system integration testing - Perform unit testing and support in all phases of testingProfessional Attributes :Adaptability and FlexibilityEducational Qualification:Additional Info :",
            "similarity": 0.4039
          },
          {
            "kra_text": "Designs IAM policies, service control policies, VPC segmentation, private endpoints, and zero-trust network access boundaries for cloud environments.",
            "sentence": "Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song-all powered by the world\u0027s largest network of Advanced Technology and Intelligent Operations centers.",
            "similarity": 0.3242
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 9,
        "score": 0.3932,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "DevOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
            "sentence": "Project Role :Application DeveloperProject Role Description :Design, build and configure applications to meet business process and application requirements.",
            "similarity": 0.4657
          },
          {
            "kra_text": "Builds and maintains CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or CircleCI to automate build, test, security scanning, and deployment workflows.",
            "sentence": "Must have Skills : Snowflake Data Warehouse, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Review and analyze system specifications - Collaborate with QA Engineers to develop effective strategies and test plans - Execute test cases manual or automated and analyze results - Evaluate product code according to specifications - Create logs to document testing phases and defectsTechnical Experience :Project/QA Life cycle SDLC from Requirement analysis to User acceptance Testing - Acceptance Testing UAT - Regression testing - Involved in SIT system integration testing - Perform unit testing and support in all phases of testingProfessional Attributes :Adaptability and FlexibilityEducational Qualification:Additional Info :",
            "similarity": 0.3565
          },
          {
            "kra_text": "Provisions and manages cloud infrastructure on AWS, Azure, or GCP using Terraform or CloudFormation to enforce infrastructure-as-code standards.",
            "sentence": "About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security.",
            "similarity": 0.3328
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 10,
        "score": 0.385,
        "slug": "devops-engineer",
        "total_count": null
      },
      {
        "display_name": "Pega Developer",
        "kra_matches": [
          {
            "kra_text": "Requirements analysis and process translation",
            "sentence": "Project Role :Application DeveloperProject Role Description :Design, build and configure applications to meet business process and application requirements.",
            "similarity": 0.4698
          },
          {
            "kra_text": "Requirements analysis and process translation",
            "sentence": "Must have Skills : Snowflake Data Warehouse, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Review and analyze system specifications - Collaborate with QA Engineers to develop effective strategies and test plans - Execute test cases manual or automated and analyze results - Evaluate product code according to specifications - Create logs to document testing phases and defectsTechnical Experience :Project/QA Life cycle SDLC from Requirement analysis to User acceptance Testing - Acceptance Testing UAT - Regression testing - Involved in SIT system integration testing - Perform unit testing and support in all phases of testingProfessional Attributes :Adaptability and FlexibilityEducational Qualification:Additional Info :",
            "similarity": 0.4284
          },
          {
            "kra_text": "external system integration implementation",
            "sentence": "Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services and Accenture Song-all powered by the world\u0027s largest network of Advanced Technology and Intelligent Operations centers.",
            "similarity": 0.2508
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 24,
        "score": 0.383,
        "slug": "pega-developer",
        "total_count": null
      },
      {
        "display_name": "Cloud Security Engineer",
        "kra_matches": [
          {
            "kra_text": "Designs IAM role policies, service account permissions, resource-based policies, and least-privilege access controls for cloud workloads and pipelines.",
            "sentence": "Project Role :Application DeveloperProject Role Description :Design, build and configure applications to meet business process and application requirements.",
            "similarity": 0.3844
          },
          {
            "kra_text": "Assesses security risk and compliance posture of new cloud services, third-party SaaS integrations, and infrastructure architecture changes.",
            "sentence": "Must have Skills : Snowflake Data Warehouse, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Review and analyze system specifications - Collaborate with QA Engineers to develop effective strategies and test plans - Execute test cases manual or automated and analyze results - Evaluate product code according to specifications - Create logs to document testing phases and defectsTechnical Experience :Project/QA Life cycle SDLC from Requirement analysis to User acceptance Testing - Acceptance Testing UAT - Regression testing - Involved in SIT system integration testing - Perform unit testing and support in all phases of testingProfessional Attributes :Adaptability and FlexibilityEducational Qualification:Additional Info :",
            "similarity": 0.3787
          },
          {
            "kra_text": "Supports cloud security incident response including forensic log analysis, containment procedures, and post-incident remediation for cloud-based breaches.",
            "sentence": "About Accenture: Accenture is a global professional services company with leading capabilities in digital, cloud and security.",
            "similarity": 0.3762
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 23,
        "score": 0.3798,
        "slug": "cloud-security-engineer",
        "total_count": null
      },
      {
        "display_name": "Data Engineer",
        "kra_matches": [
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
            "sentence": "Must have Skills : Snowflake Data Warehouse, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements :Key Responsibilities :Review and analyze system specifications - Collaborate with QA Engineers to develop effective strategies and test plans - Execute test cases manual or automated and analyze results - Evaluate product code according to specifications - Create logs to document testing phases and defectsTechnical Experience :Project/QA Life cycle SDLC from Requirement analysis to User acceptance Testing - Acceptance Testing UAT - Regression testing - Involved in SIT system integration testing - Perform unit testing and support in all phases of testingProfessional Attributes :Adaptability and FlexibilityEducational Qualification:Additional Info :",
            "similarity": 0.4164
          },
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
            "sentence": "Project Role :Application DeveloperProject Role Description :Design, build and configure applications to meet business process and application requirements.",
            "similarity": 0.4111
          },
          {
            "kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
            "sentence": "Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.",
            "similarity": 0.2929
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 2,
        "score": 0.3735,
        "slug": "data-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Data Engineer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Snowflake"
        ],
        "role_id": 2,
        "score": 0.1,
        "slug": "data-engineer",
        "total_count": 10
      },
      {
        "display_name": "Magento Dev",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "Regression testing"
        ],
        "role_id": 231,
        "score": 0.1,
        "slug": "magento-dev",
        "total_count": 10
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Manual Test Engineer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 65,
      "score": 0.94,
      "slug": "manual-test-engineer",
      "total_count": null
    },
    "confidence": 0.94,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Manual and functional testing",
      "Test strategy and planning",
      "System integration and acceptance testing",
      "Defect logging and analysis",
      "QA lifecycle support"
    ],
    "matched_kras": [
      "Collaborate with QA Engineers to develop effective strategies and test plans",
      "Execute test cases manual or automated and analyze results",
      "Evaluate product code according to specifications",
      "Create logs to document testing phases and defects",
      "Perform unit testing and support in all phases of testing"
    ],
    "matched_skills": [
      "Snowflake Data Warehouse",
      "SDLC",
      "UAT",
      "SIT",
      "unit testing",
      "regression testing"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Testing \u0026 Quality; The JD is centered on QA/testing activities such as manual or automated test execution, UAT, regression, SIT, and unit testing, which best matches a Manual Test Engineer role despite mentioning Snowflake as a skill.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 12,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 25298,
        "role_display_name": "Manual Test Engineer",
        "role_slug": "manual-test-engineer",
        "skill_name": "Data Warehouse",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25299,
        "role_display_name": "Manual Test Engineer",
        "role_slug": "manual-test-engineer",
        "skill_name": "QA",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25300,
        "role_display_name": "Manual Test Engineer",
        "role_slug": "manual-test-engineer",
        "skill_name": "User Acceptance Testing",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25301,
        "role_display_name": "Manual Test Engineer",
        "role_slug": "manual-test-engineer",
        "skill_name": "Acceptance Testing",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25302,
        "role_display_name": "Manual Test Engineer",
        "role_slug": "manual-test-engineer",
        "skill_name": "System Integration Testing",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 25303,
        "role_display_name": "Manual Test Engineer",
        "role_slug": "manual-test-engineer",
        "skill_name": "SIT",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{
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    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 299,
      "existing_alias_text": "Snowflake",
      "input_term": "Snowflake",
      "matched_canonical": {
        "category_id": 9,
        "display_name": "Snowflake",
        "id": 105,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "snowflake",
        "sub_category_id": 113,
        "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": 2519,
      "existing_alias_text": "SDLC",
      "input_term": "SDLC",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "SDLC",
        "id": 1573,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "sdlc",
        "sub_category_id": 1179,
        "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": 5380,
      "existing_alias_text": "Regression testing",
      "input_term": "Regression Testing",
      "matched_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"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 865,
      "existing_alias_text": "Unit Testing",
      "input_term": "Unit Testing",
      "matched_canonical": {
        "category_id": 8,
        "display_name": "Unit Testing",
        "id": 517,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "unit-testing",
        "sub_category_id": 44,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "Data Engineer",
      "id": 2,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-engineer",
      "source": "db"
    },
    {
      "display_name": "Magento Dev",
      "id": 231,
      "rationale": null,
      "role_archetype": "Engineering",
      "slug": "magento-dev",
      "source": "db"
    }
  ],
  "chosen_role": {
    "display_name": "Manual Test Engineer",
    "id": 65,
    "rationale": "Domain=Testing \u0026 Quality; The JD is centered on QA/testing activities such as manual or automated test execution, UAT, regression, SIT, and unit testing, which best matches a Manual Test Engineer role despite mentioning Snowflake as a skill.",
    "role_archetype": null,
    "slug": "manual-test-engineer",
    "source": "db"
  },
  "dimensions": [
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Cloud Data Warehouses",
        "id": 22,
        "rationale": "Managed analytical storage and compute platforms used for curated datasets, reporting, and downstream analytics. These systems are central to data modeling, performance tuning, and cost-aware query design.",
        "slug": "cloud-data-warehouses",
        "source": "db"
      },
      "input_skill": "Snowflake",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    },
    {
      "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": "SDLC",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "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"
        }
      ]
    },
    {
      "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": "Unit Testing",
      "llm_role": null,
      "roles_from_db": []
    }
  ],
  "input_final_skills": [
    "Snowflake",
    "Data Warehouse",
    "QA",
    "SDLC",
    "User Acceptance Testing",
    "Acceptance Testing",
    "Regression Testing",
    "System Integration Testing",
    "SIT",
    "Unit Testing"
  ],
  "input_llm_skills": [
    "Snowflake",
    "Data Warehouse",
    "QA",
    "SDLC",
    "User Acceptance Testing",
    "Acceptance Testing",
    "Regression Testing",
    "System Integration Testing",
    "SIT",
    "Unit Testing"
  ],
  "new_aliases_persisted": 0,
  "run_id": "cfb7e559-c2ed-4621-92a9-1e3e973dcf8a",
  "skills_detail": [
    {
      "aliases_in_db": [
        {
          "alias_text": "Snowflake",
          "alias_type": "CANONICAL",
          "id": 299,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 9,
        "display_name": "Snowflake",
        "id": 105,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
        "slug": "snowflake",
        "sub_category_id": 113,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Cloud Data Warehouses",
            "id": 22,
            "rationale": "Managed analytical storage and compute platforms used for curated datasets, reporting, and downstream analytics. These systems are central to data modeling, performance tuning, and cost-aware query design.",
            "slug": "cloud-data-warehouses",
            "source": "db"
          },
          "input_skill": "Snowflake",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Snowflake",
      "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": "Data Warehouse",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Databases",
          "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": "data-warehouse",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "QA",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Soft Skills",
          "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": "qa",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "SDLC",
          "alias_type": "CANONICAL",
          "id": 2519,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "SDLC",
        "id": 1573,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "sdlc",
        "sub_category_id": 1179,
        "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": "SDLC",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "SDLC",
      "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": "User Acceptance 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": "user-acceptance-testing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Acceptance 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": "acceptance-testing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "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": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "System Integration 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": "system-integration-testing",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "SIT",
      "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": "sit",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Unit Testing",
          "alias_type": "CANONICAL",
          "id": 865,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "Unit Testing",
        "id": 517,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "unit-testing",
        "sub_category_id": 44,
        "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": "Unit Testing",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Unit Testing",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Data Warehouse",
    "QA",
    "User Acceptance Testing",
    "Acceptance Testing",
    "System Integration Testing",
    "SIT"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Manual Test Engineer",
    "id": 65,
    "rationale": "Domain=Testing \u0026 Quality; The JD is centered on QA/testing activities such as manual or automated test execution, UAT, regression, SIT, and unit testing, which best matches a Manual Test Engineer role despite mentioning Snowflake as a skill.",
    "role_archetype": null,
    "slug": "manual-test-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Snowflake",
      "tag": "in_db"
    },
    {
      "skill": "Data Warehouse",
      "tag": "new"
    },
    {
      "skill": "QA",
      "tag": "new"
    },
    {
      "skill": "SDLC",
      "tag": "in_db"
    },
    {
      "skill": "User Acceptance Testing",
      "tag": "new"
    },
    {
      "skill": "Acceptance Testing",
      "tag": "new"
    },
    {
      "skill": "Regression Testing",
      "tag": "in_db"
    },
    {
      "skill": "System Integration Testing",
      "tag": "new"
    },
    {
      "skill": "SIT",
      "tag": "new"
    },
    {
      "skill": "Unit Testing",
      "tag": "in_db"
    }
  ],
  "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": 65,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Cloud Data Warehouses",
          "id": 22,
          "rationale": "Managed analytical storage and compute platforms used for curated datasets, reporting, and downstream analytics. These systems are central to data modeling, performance tuning, and cost-aware query design.",
          "slug": "cloud-data-warehouses",
          "source": "db"
        },
        "dimension_id": 22,
        "input_skill": "Snowflake",
        "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": 105,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 65,
        "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": "SDLC",
        "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": 1573,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 65,
        "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"
        },
        "dimension_id": 405,
        "input_skill": "Regression Testing",
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