Pipeline run

531a6626-5a0c-4439-9620-4ffdfa227c48

Pipeline LLM cost (USD)

API 1: $0.0030 API 2: $0.0005 API 3: $0.0000 Total: $0.0034

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description

role baseline loaded sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd

Nature of work · Pipeline operations and incident response

Administer Linux and Windows servers, write Bash/Perl/Shell automation, and monitor/troubleshoot server health, patching, access, and production/non-production support issues with other infra and app teams.

"• Monitor server performance, availability, and system health"

Tech stack maturity

Mainstream Legacy

Bash and Perl are classic, widely used scripting skills commonly associated with established legacy data engineering environments rather than modern cloud-native 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 (9)

Linux Windows Server Bash Perl Shell VMware Virtualization SQL Cron

Skill cluster (2 dimension groups, role-scoped)

Programming Languages for Data Work

Bash SQL

Cross-cutting / unaligned

Linux Windows Server Perl Shell VMware Virtualization Cron

Show KRA description ↓

• Administer and maintain Linux server environments • Support Windows server environments and related administration tasks • Develop and maintain automation scripts using Bash, Perl, and Shell scripting • Monitor server performance, availability, and system health • Troubleshoot OS, server, and infrastructure-related issues • Perform server patching, upgrades, and configuration management • Manage user access, permissions, and security policies • Support production and non-production environments • Collaborate with infrastructure, application, and support teams • Maintain operational and technical documentation ✅ Primary Skills • Linux Administration • Windows Administration • Bash Scripting • Perl Scripting • Shell Scripting • Server Monitoring & Troubleshooting ✅ Secondary Skills • VMware / Virtualization • Networking Basics • SQL / Database Basics • Automation & Cron Jobs • Incident & Change Management

Signals

Skill data-engineer

0.22

Alias —

—

KRA frontend-engineer

0.37

Post-classification

Centroidupdated · n=20

Alias collision log—

New-role queue—

New skills captured5

New KRA capturedyes

Captured for admin review

Linux primary ↔ Data Engineer pending

Windows Server primary ↔ Data Engineer pending

Shell primary ↔ Data Engineer pending

VMware ↔ Data Engineer pending

Cron ↔ Data Engineer pending

R&R fragment (sim 0.00) ↔ Data Engineer pending

Status: completed Created: 2026-05-20T21:59:09.436219Z Updated: 2026-05-20T21:59:16.550249Z API 3 duration: 83 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

Cybersecurity Engineer

CASE B

slug: cybersecurity-engineer · id: 5 · source: db

The primary skills of Linux, Windows Server, Bash, Perl, and Shell align closely with the responsibilities of a Cybersecurity Engineer.

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

New skills

Skill↔dim saved

Role↔dim saved

Skipped

Job description

Job Summary

We are looking for a skilled Linux Administrator with hands-on experience in Windows administration and scripting technologies (Bash/Perl/Shell). The ideal candidate will be responsible for server administration, automation, troubleshooting, and supporting enterprise infrastructure environments.

🔹 Key Responsibilities
• Administer and maintain Linux server environments
• Support Windows server environments and related administration tasks
• Develop and maintain automation scripts using Bash, Perl, and Shell scripting
• Monitor server performance, availability, and system health
• Troubleshoot OS, server, and infrastructure-related issues
• Perform server patching, upgrades, and configuration management
• Manage user access, permissions, and security policies
• Support production and non-production environments
• Collaborate with infrastructure, application, and support teams
• Maintain operational and technical documentation
🔹 Required Skills

✅ Primary Skills
• Linux Administration
• Windows Administration
• Bash Scripting
• Perl Scripting
• Shell Scripting
• Server Monitoring & Troubleshooting
✅ Secondary Skills
• VMware / Virtualization
• Networking Basics
• SQL / Database Basics
• Automation & Cron Jobs
• Incident & Change Management

Skills from this JD

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

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

Windows Server 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: MEDIUM
Typical lifespan: MULTI_YEAR
Version strategy: UNVERSIONED

Bash Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: Bash id=103 · bash

Aliases — catalog

Bash (VERSION)
Bash 3.x (VERSION)
Bash 4.x (VERSION)
Bash 5.x (VERSION)
GNU Bash (VERSION)
bash (VERSION)
bash 3 (VERSION)
bash 3.x (VERSION)
bash 4 (VERSION)
bash 4.x (VERSION)
bash 5 (VERSION)
bash 5.x (VERSION)

Context tags (catalog)

Linux POSIX Unix alias awk chmod cron environment variables grep here-doc pipes sed shebang shell scripting ssh stdin stdout xargs

Stored enrichment (catalog DB)

Category: Language
Sub-category: Shell Language
Vendor: GNU Project
License: gpl_v3
Year introduced: 1989
Confidence: 0.99
Version strategy: SEPARATE_ENTITY
Version tag: 5.x

Maturity reasoning: Bash appears in many DevOps, SRE, and Linux admin job descriptions and remains the default shell on most Unix-like systems, with no vendor sunset or clear replacement in mainstream hiring.

Skill profile (library / DB)

Skill nature: LANGUAGE
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 6
Sub-category id: 238
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: Cybersecurity Engineer
Programming Languages for Data Work Catalog dimension db id 21

Library dimension (catalog)

Roles linked in library: Data Engineer

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 saved
Programming Languages for Data Work programming-languages-for-data-work	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Perl Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: Perl id=1001 · perl

Aliases — catalog

Perl (CANONICAL)

Context tags (catalog)

BioPerl CPAN Catalyst DBI Dancer Mojolicious Moose Object-Oriented Perl6 Perlbrew Plack Regex Template Toolkit Test::More Tidy

Stored enrichment (catalog DB)

Category: Language
Sub-category: Scripting Language
Vendor: Perl Foundation
License: unknown
Year introduced: 1987
Confidence: 0.99
Version strategy: NOT_APPLICABLE

Maturity reasoning: Perl still appears in some legacy-maintenance JDs, but far fewer than Python/JavaScript; GitHub activity and new-project adoption are much lower, with many orgs having migrated to Python or Ruby.

Skill profile (library / DB)

Skill nature: LANGUAGE
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 6
Sub-category id: 38
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)

Shell 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: Scripting Languages
Sub-category: general
Skill nature: LANGUAGE
Volatility: STABLE
Typical lifespan: EVERGREEN
Version strategy: UNVERSIONED

VMware 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: Virtualization Tools
Sub-category: general
Skill nature: TOOL
Volatility: MEDIUM
Typical lifespan: MULTI_YEAR
Version strategy: UNVERSIONED

Virtualization Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: virtualization id=667 · virtualization

Aliases — catalog

virtualization (CANONICAL) primary

Context tags (catalog)

Docker Hyper-V KVM Proxmox SAN VLAN VMware Xen automation cloud computing containerization guest OS host OS hypervisor live migration orchestration performance tuning resource allocation scalability snapshot vSphere virtual machine virtual machines virtual networks

Stored enrichment (catalog DB)

Category: Concept
Sub-category: Ui Rendering Concept
Confidence: 0.72
Version strategy: NOT_APPLICABLE

Maturity reasoning: Virtualization is a common requirement in frontend JDs for large lists/tables, and major libraries like React Window and AG Grid document it as a standard performance pattern.

Skill profile (library / DB)

Skill nature: CONCEPT
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 2
Sub-category id: 472
Extractable: True
Also category: False

Dimensions (API 2 worklist)

Performance and Rendering Optimization Catalog dimension db id 124

Library dimension (catalog)

Roles linked in library: Frontend Engineer

API 3 link attempts (this skill)

Dimension	Skill↔dim	Role↔dim	Outcome
Performance and Rendering Optimization performance-and-rendering-optimization	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

SQL Secondary Library skill API 3: existing canonical (in_db) Existing skill (matched library)

Canonical: SQL id=101 · sql

Aliases — catalog

SQL (CANONICAL) primary

Context tags (catalog)

ACID CTE DDL DML ETL JOIN MySQL NoSQL OLAP ORM PostgreSQL SQL injection SQLite T-SQL data modeling data warehousing database normalization execution plan indexing joins normalization query optimization stored procedures subquery transaction isolation transaction management window functions

Stored enrichment (catalog DB)

Category: Language
Sub-category: Query Language
Vendor: ANSI
License: unknown
Year introduced: 1974
Confidence: 0.99
Version strategy: NOT_APPLICABLE

Maturity reasoning: SQL appears in a large share of data, backend, and analytics job descriptions and remains the default query language for PostgreSQL, MySQL, and cloud warehouses like Snowflake/BigQuery.

Skill profile (library / DB)

Skill nature: LANGUAGE
Volatility: STABLE
Typical lifespan: EVERGREEN
Category id: 6
Sub-category id: 97
Extractable: True
Also category: False

Dimensions (API 2 worklist)

Programming Languages for Data Work Catalog dimension db id 21

Library dimension (catalog)

Roles linked in library: Data Engineer

API 3 link attempts (this skill)

Dimension	Skill↔dim	Role↔dim	Outcome
Programming Languages for Data Work programming-languages-for-data-work	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Cron 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: Task Scheduling Tools
Sub-category: general
Skill nature: TOOL
Volatility: STABLE
Typical lifespan: EVERGREEN
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
Bash	in_db	Programming Languages and Scripting programming-languages-and-scripting	✓	✓	Existing dimension (library) · Role↔dimension saved
Bash	in_db	Programming Languages for Data Work programming-languages-for-data-work	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Perl	in_db	React Frontend Development d_init_01	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Virtualization	in_db	Performance and Rendering Optimization performance-and-rendering-optimization	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
SQL	in_db	Programming Languages for Data Work programming-languages-for-data-work	✓	—	Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind	Detail	DB id
canonical_skill_proposed	Linux \| type=Operating Systems subtype=general nature=PLATFORM lifespan=EVERGREEN
canonical_skill_proposed	Windows Server \| type=Operating Systems subtype=general nature=PLATFORM lifespan=MULTI_YEAR
canonical_skill_proposed	Shell \| type=Scripting Languages subtype=general nature=LANGUAGE lifespan=EVERGREEN
canonical_skill_proposed	VMware \| type=Virtualization Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed	Cron \| type=Task Scheduling Tools subtype=general nature=TOOL lifespan=EVERGREEN

nano JD Parser — gpt-4.1-nano click to toggle

RoleLinux Administrator

DomainIT Services & Consulting

JD type pass

Show raw JSON

{
  "JD_type": "pass",
  "about_company": null,
  "certifications": [],
  "company_name": null,
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [],
      "domain": "IT Services \u0026 Consulting"
    },
    "secondary": null
  },
  "education": [],
  "experience": null,
  "job_locations": [],
  "role": "Linux Administrator",
  "role_aliases": [
    "Linux Admin",
    "System Administrator",
    "SysAdmin"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 10,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Administer and maintain Linux",
        "last_5_words": "operational and technical documentation"
      },
      "text": "\u2022 Administer and maintain Linux server environments\n\u2022 Support Windows server environments and related administration tasks\n\u2022 Develop and maintain automation scripts using Bash, Perl, and Shell scripting\n\u2022 Monitor server performance, availability, and system health\n\u2022 Troubleshoot OS, server, and infrastructure-related issues\n\u2022 Perform server patching, upgrades, and configuration management\n\u2022 Manage user access, permissions, and security policies\n\u2022 Support production and non-production environments\n\u2022 Collaborate with infrastructure, application, and support teams\n\u2022 Maintain operational and technical documentation",
      "word_count": 102
    },
    {
      "bullet_count": 11,
      "heading": "Required Skills",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2705 Primary Skills\n\u2022 Linux Administration",
        "last_5_words": "Incident \u0026 Change Management"
      },
      "text": "\u2705 Primary Skills\n\u2022 Linux Administration\n\u2022 Windows Administration\n\u2022 Bash Scripting\n\u2022 Perl Scripting\n\u2022 Shell Scripting\n\u2022 Server Monitoring \u0026 Troubleshooting\n\u2705 Secondary Skills\n\u2022 VMware / Virtualization\n\u2022 Networking Basics\n\u2022 SQL / Database Basics\n\u2022 Automation \u0026 Cron Jobs\n\u2022 Incident \u0026 Change Management",
      "word_count": 56
    }
  ],
  "urls": []
}

API 1 — extract-from-jd click to toggle

{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Linux"
    },
    {
      "is_primary": true,
      "skill_name": "Windows Server"
    },
    {
      "is_primary": true,
      "skill_name": "Bash"
    },
    {
      "is_primary": true,
      "skill_name": "Perl"
    },
    {
      "is_primary": true,
      "skill_name": "Shell"
    },
    {
      "is_primary": false,
      "skill_name": "VMware"
    },
    {
      "is_primary": false,
      "skill_name": "Virtualization"
    },
    {
      "is_primary": false,
      "skill_name": "SQL"
    },
    {
      "is_primary": false,
      "skill_name": "Cron"
    }
  ],
  "jd_role": {
    "display_name": "Linux Administrator",
    "rationale": null,
    "role_aliases": [
      "Linux Admin",
      "System Administrator",
      "SysAdmin"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": null,
    "certifications": [],
    "company_name": null,
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [],
        "domain": "IT Services \u0026 Consulting"
      },
      "secondary": null
    },
    "education": [],
    "experience": null,
    "job_locations": [],
    "role": "Linux Administrator",
    "role_aliases": [
      "Linux Admin",
      "System Administrator",
      "SysAdmin"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 10,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Administer and maintain Linux",
          "last_5_words": "operational and technical documentation"
        },
        "text": "\u2022 Administer and maintain Linux server environments\n\u2022 Support Windows server environments and related administration tasks\n\u2022 Develop and maintain automation scripts using Bash, Perl, and Shell scripting\n\u2022 Monitor server performance, availability, and system health\n\u2022 Troubleshoot OS, server, and infrastructure-related issues\n\u2022 Perform server patching, upgrades, and configuration management\n\u2022 Manage user access, permissions, and security policies\n\u2022 Support production and non-production environments\n\u2022 Collaborate with infrastructure, application, and support teams\n\u2022 Maintain operational and technical documentation",
        "word_count": 102
      },
      {
        "bullet_count": 11,
        "heading": "Required Skills",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2705 Primary Skills\n\u2022 Linux Administration",
          "last_5_words": "Incident \u0026 Change Management"
        },
        "text": "\u2705 Primary Skills\n\u2022 Linux Administration\n\u2022 Windows Administration\n\u2022 Bash Scripting\n\u2022 Perl Scripting\n\u2022 Shell Scripting\n\u2022 Server Monitoring \u0026 Troubleshooting\n\u2705 Secondary Skills\n\u2022 VMware / Virtualization\n\u2022 Networking Basics\n\u2022 SQL / Database Basics\n\u2022 Automation \u0026 Cron Jobs\n\u2022 Incident \u0026 Change Management",
        "word_count": 56
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "531a6626-5a0c-4439-9620-4ffdfa227c48",
  "stage3_signals": {
    "alias_found": false,
    "alias_match_roles": [],
    "kra_match_roles": [
      {
        "display_name": "Frontend Engineer",
        "matched_count": null,
        "role_id": 7,
        "score": 0.366,
        "slug": "frontend-engineer",
        "total_count": null
      },
      {
        "display_name": "DevOps Engineer",
        "matched_count": null,
        "role_id": 10,
        "score": 0.3649,
        "slug": "devops-engineer",
        "total_count": null
      },
      {
        "display_name": "Cybersecurity Engineer",
        "matched_count": null,
        "role_id": 5,
        "score": 0.3353,
        "slug": "cybersecurity-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Architect",
        "matched_count": null,
        "role_id": 9,
        "score": 0.333,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "Cloud Security Engineer",
        "matched_count": null,
        "role_id": 23,
        "score": 0.324,
        "slug": "cloud-security-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Data Engineer",
        "matched_count": 2,
        "role_id": 2,
        "score": 0.2222,
        "slug": "data-engineer",
        "total_count": 9
      },
      {
        "display_name": "Cybersecurity Engineer",
        "matched_count": 1,
        "role_id": 5,
        "score": 0.1111,
        "slug": "cybersecurity-engineer",
        "total_count": 9
      },
      {
        "display_name": "Frontend Engineer",
        "matched_count": 1,
        "role_id": 7,
        "score": 0.1111,
        "slug": "frontend-engineer",
        "total_count": 9
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "B",
    "chosen_role": {
      "display_name": "Data Engineer",
      "matched_count": null,
      "role_id": 2,
      "score": 0.2222,
      "slug": "data-engineer",
      "total_count": null
    },
    "confidence": 0.2222,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Stage 1 title \u0027Linux Administrator\u0027 is unmapped (designation?); KRA inconclusive (0.37). Skill profile points at data-engineer (0.22) - generalize."
  },
  "stage5_updates": {
    "centroid_n_after": 20,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 64,
      "r_and_r_preview": "\u2022 Administer and maintain Linux server environments\n\u2022 Support Windows server environments and related administration tasks\n\u2022 Develop and maintain automation scripts using Bash, Perl, and Shell scripti",
      "role_display_name": "Data Engineer",
      "role_slug": "data-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 1664,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Linux",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1665,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Windows Server",
        "status": "pending"
      },
      {
        "is_primary": true,
        "queue_id": 1666,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Shell",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1667,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "VMware",
        "status": "pending"
      },
      {
        "is_primary": false,
        "queue_id": 1668,
        "role_display_name": "Data Engineer",
        "role_slug": "data-engineer",
        "skill_name": "Cron",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}

API 2 — extract-details

{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 273,
      "existing_alias_text": "Bash",
      "input_term": "Bash",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Bash",
        "id": 103,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "bash",
        "sub_category_id": 238,
        "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": 1612,
      "existing_alias_text": "Perl",
      "input_term": "Perl",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "Perl",
        "id": 1001,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "perl",
        "sub_category_id": 38,
        "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": 1172,
      "existing_alias_text": "virtualization",
      "input_term": "Virtualization",
      "matched_canonical": {
        "category_id": 2,
        "display_name": "virtualization",
        "id": 667,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "virtualization",
        "sub_category_id": 472,
        "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": 271,
      "existing_alias_text": "SQL",
      "input_term": "SQL",
      "matched_canonical": {
        "category_id": 6,
        "display_name": "SQL",
        "id": 101,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "sql",
        "sub_category_id": 97,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
    }
  ],
  "candidate_roles": [
    {
      "display_name": "Cybersecurity Engineer",
      "id": 5,
      "rationale": null,
      "role_archetype": null,
      "slug": "cybersecurity-engineer",
      "source": "db"
    },
    {
      "display_name": "Data Engineer",
      "id": 2,
      "rationale": null,
      "role_archetype": null,
      "slug": "data-engineer",
      "source": "db"
    },
    {
      "display_name": "Frontend Engineer",
      "id": 7,
      "rationale": null,
      "role_archetype": null,
      "slug": "frontend-engineer",
      "source": "db"
    }
  ],
  "chosen_role": {
    "display_name": "Cybersecurity Engineer",
    "id": 5,
    "rationale": "The primary skills of Linux, Windows Server, Bash, Perl, and Shell align closely with the responsibilities of a Cybersecurity Engineer.",
    "role_archetype": null,
    "slug": "cybersecurity-engineer",
    "source": "db"
  },
  "dimensions": [
    {
      "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"
      },
      "input_skill": "Bash",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Cybersecurity Engineer",
          "id": 5,
          "rationale": null,
          "role_archetype": null,
          "slug": "cybersecurity-engineer",
          "source": "db"
        }
      ]
    },
    {
      "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"
      },
      "input_skill": "Bash",
      "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": "Perl",
      "llm_role": null,
      "roles_from_db": []
    },
    {
      "dimension": {
        "difficulty_hint": "well_known",
        "display_name": "Performance and Rendering Optimization",
        "id": 124,
        "rationale": "Techniques for improving responsiveness, load time, and runtime efficiency in browser applications. This cluster is important because frontend engineers directly influence perceived performance and rendering cost.",
        "slug": "performance-and-rendering-optimization",
        "source": "db"
      },
      "input_skill": "Virtualization",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Frontend Engineer",
          "id": 7,
          "rationale": null,
          "role_archetype": null,
          "slug": "frontend-engineer",
          "source": "db"
        }
      ]
    },
    {
      "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"
      },
      "input_skill": "SQL",
      "llm_role": null,
      "roles_from_db": [
        {
          "display_name": "Data Engineer",
          "id": 2,
          "rationale": null,
          "role_archetype": null,
          "slug": "data-engineer",
          "source": "db"
        }
      ]
    }
  ],
  "input_final_skills": [
    "Linux",
    "Windows Server",
    "Bash",
    "Perl",
    "Shell",
    "VMware",
    "Virtualization",
    "SQL",
    "Cron"
  ],
  "input_llm_skills": [
    "Linux",
    "Windows Server",
    "Bash",
    "Perl",
    "Shell",
    "VMware",
    "Virtualization",
    "SQL",
    "Cron"
  ],
  "new_aliases_persisted": 0,
  "run_id": "531a6626-5a0c-4439-9620-4ffdfa227c48",
  "skills_detail": [
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Linux",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Operating Systems",
          "skill_nature": "PLATFORM",
          "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": "linux",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Windows Server",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Operating Systems",
          "skill_nature": "PLATFORM",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "windows-server",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Bash",
          "alias_type": "VERSION",
          "id": 273,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Bash 3.x",
          "alias_type": "VERSION",
          "id": 279,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Bash 4.x",
          "alias_type": "VERSION",
          "id": 280,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "Bash 5.x",
          "alias_type": "VERSION",
          "id": 281,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "GNU Bash",
          "alias_type": "VERSION",
          "id": 282,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash",
          "alias_type": "VERSION",
          "id": 275,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash 3",
          "alias_type": "VERSION",
          "id": 276,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash 3.x",
          "alias_type": "VERSION",
          "id": 283,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash 4",
          "alias_type": "VERSION",
          "id": 277,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash 4.x",
          "alias_type": "VERSION",
          "id": 284,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash 5",
          "alias_type": "VERSION",
          "id": 278,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        },
        {
          "alias_text": "bash 5.x",
          "alias_type": "VERSION",
          "id": 285,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 6,
        "display_name": "Bash",
        "id": 103,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "bash",
        "sub_category_id": 238,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "Bash",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cybersecurity Engineer",
              "id": 5,
              "rationale": null,
              "role_archetype": null,
              "slug": "cybersecurity-engineer",
              "source": "db"
            }
          ]
        },
        {
          "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"
          },
          "input_skill": "Bash",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Bash",
      "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": "Perl",
          "alias_type": "CANONICAL",
          "id": 1612,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 6,
        "display_name": "Perl",
        "id": 1001,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "perl",
        "sub_category_id": 38,
        "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": "Perl",
          "llm_role": null,
          "roles_from_db": []
        }
      ],
      "input_skill": "Perl",
      "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": "Shell",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Scripting Languages",
          "skill_nature": "LANGUAGE",
          "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": "shell",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "VMware",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Virtualization Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "vmware",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "virtualization",
          "alias_type": "CANONICAL",
          "id": 1172,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "virtualization",
        "id": 667,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "virtualization",
        "sub_category_id": 472,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Performance and Rendering Optimization",
            "id": 124,
            "rationale": "Techniques for improving responsiveness, load time, and runtime efficiency in browser applications. This cluster is important because frontend engineers directly influence perceived performance and rendering cost.",
            "slug": "performance-and-rendering-optimization",
            "source": "db"
          },
          "input_skill": "Virtualization",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Frontend Engineer",
              "id": 7,
              "rationale": null,
              "role_archetype": null,
              "slug": "frontend-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Virtualization",
      "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": "SQL",
          "alias_type": "CANONICAL",
          "id": 271,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 6,
        "display_name": "SQL",
        "id": 101,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "LANGUAGE",
        "slug": "sql",
        "sub_category_id": 97,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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"
          },
          "input_skill": "SQL",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Data Engineer",
              "id": 2,
              "rationale": null,
              "role_archetype": null,
              "slug": "data-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "SQL",
      "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": "Cron",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Task Scheduling Tools",
          "skill_nature": "TOOL",
          "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": "cron",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Linux",
    "Windows Server",
    "Shell",
    "VMware",
    "Cron"
  ]
}

API 3 — final-role-output

{
  "chosen_role": {
    "display_name": "Cybersecurity Engineer",
    "id": 5,
    "rationale": "The primary skills of Linux, Windows Server, Bash, Perl, and Shell align closely with the responsibilities of a Cybersecurity Engineer.",
    "role_archetype": null,
    "slug": "cybersecurity-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Linux",
      "tag": "new"
    },
    {
      "skill": "Windows Server",
      "tag": "new"
    },
    {
      "skill": "Bash",
      "tag": "in_db"
    },
    {
      "skill": "Perl",
      "tag": "in_db"
    },
    {
      "skill": "Shell",
      "tag": "new"
    },
    {
      "skill": "VMware",
      "tag": "new"
    },
    {
      "skill": "Virtualization",
      "tag": "in_db"
    },
    {
      "skill": "SQL",
      "tag": "in_db"
    },
    {
      "skill": "Cron",
      "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": 5,
        "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": "Bash",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Cybersecurity Engineer",
            "id": 5,
            "rationale": null,
            "role_archetype": null,
            "slug": "cybersecurity-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 103,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "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": "Bash",
        "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": 103,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "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": "Perl",
        "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": 1001,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Performance and Rendering Optimization",
          "id": 124,
          "rationale": "Techniques for improving responsiveness, load time, and runtime efficiency in browser applications. This cluster is important because frontend engineers directly influence perceived performance and rendering cost.",
          "slug": "performance-and-rendering-optimization",
          "source": "db"
        },
        "dimension_id": 124,
        "input_skill": "Virtualization",
        "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": "Frontend Engineer",
            "id": 7,
            "rationale": null,
            "role_archetype": null,
            "slug": "frontend-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 667,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 5,
        "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": "SQL",
        "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": 101,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 0
  },
  "planner_output": null,
  "run_id": "531a6626-5a0c-4439-9620-4ffdfa227c48"
}

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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