Pipeline run
cf529069-497c-4c75-8320-7770a3534335
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Pega Developer
CASE NEWslug: pega-developer · id: — · source: llm
The primary skills all relate to Pega development, which necessitates a specialized title.
Resolution:
human_review_required
— role not in DB; role↔dimension links may be deferred.
Job description
Pega Developer Strong hands-on experience with Pega PRPC / Pega Platform. . Experience in Case Management and Workflow Design. . Experience with UI development (Sections, Harnesses, Portals). . Knowledge of Constellations is must . Experience with Activities and Data Transforms. . Experience with Data Pages (parameterization, refresh strategies). . Knowledge of Data Flows and Data Sets. . Experience with Pega Integrations (REST, SOAP, Kafka). . Hands-on experience with SLAs (Case, Stage, Assignment). . Strong understanding of Pega class structures and rule resolution. . Experience with Pega Security rules (Access Groups, Roles, Privileges). . Proficiency in SQL, XML, JSON. . Good problem-solving and communication skills.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- general
- Skill nature
- PLATFORM
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Features
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Platform
- Sub-category
- Pega Components
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- REST (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Api Architecture Style
- Year introduced
- 2000
- Confidence
- 0.88
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: REST is a default API architecture in many job descriptions and is widely supported by major vendors/frameworks; OpenAPI and RESTful endpoints remain standard in hiring pipelines.
Skill profile (library / DB)
- Skill nature
- PROTOCOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 10
- Sub-category id
- 48
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
API Design and Contracts Catalog dimension db id 3
Library dimension (catalog)
Roles linked in library: Backend Engineer, Full Stack Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
API Design and Contracts
api-design-and-contracts
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- SOAP (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Protocol
- Sub-category
- Api Protocol
- Year introduced
- 1998
- Confidence
- 0.97
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: SOAP still appears in enterprise/legacy integration JDs, but far less than REST/GraphQL; many vendors and docs position REST/JSON as the default for new APIs, indicating a narrow, legacy-heavy market signal.
Skill profile (library / DB)
- Skill nature
- PROTOCOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 10
- Sub-category id
- 54
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
External System Integrations Catalog dimension db id 14
Library dimension (catalog)
Roles linked in library: Backend Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
External System Integrations
external-system-integrations
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Kafka (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Datastore
- Sub-category
- Event Stream Store
- Vendor
- Confluent
- License
- apache_2
- Year introduced
- 2011
- Confidence
- 0.90
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Kafka appears in many production JDs for event streaming and data pipelines, and remains a standard platform in cloud/vendor offerings (e.g., Confluent, AWS MSK), indicating broad hiring demand.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 47
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Messaging and Event Streaming Catalog dimension db id 8
Library dimension (catalog)
Roles linked in library: Backend Engineer, Data Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Messaging and Event Streaming
messaging-and-event-streaming
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- SQL (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- XML (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Format
- Sub-category
- Markup Format
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: XML remains a common requirement in JDs for enterprise integration, SOAP, RSS, and config files; it’s still widely supported across major platforms rather than being sunset or replaced outright.
Skill profile (library / DB)
- Skill nature
- STANDARD
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 4
- Sub-category id
- 689
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Programming Languages
- Sub-category
- general
- Skill nature
- LANGUAGE
- 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 | Notes |
|---|---|---|---|---|---|---|
| REST | in_db |
API Design and Contracts
api-design-and-contracts
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SOAP | in_db |
External System Integrations
external-system-integrations
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Kafka | in_db |
Messaging and Event Streaming
messaging-and-event-streaming
|
✓ | — | 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) | |
| XML | 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 | Pega PRPC | type=Platform subtype=general nature=PLATFORM lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Pega Platform | type=Platform subtype=general nature=PLATFORM lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Case Management | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Workflow Design | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Sections | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Harnesses | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Portals | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Constellations | type=Platform subtype=Pega Features nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Activities | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Transforms | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Pages | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Flows | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Sets | type=Platform subtype=Pega Components nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | SLAs | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | JSON | type=Programming Languages subtype=general nature=LANGUAGE lifespan=EVERGREEN |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": null,
"job_locations": [],
"role": "Pega Developer",
"role_aliases": [
"Pega Engineer",
"Pega Consultant"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 12,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Strong hands-on experience with Pega",
"last_5_words": "problem-solving and communication skills."
},
"text": "Strong hands-on experience with Pega PRPC / Pega Platform.\n. Experience in Case Management and Workflow Design.\n. Experience with UI development (Sections, Harnesses, Portals).\n. Knowledge of Constellations is must\n. Experience with Activities and Data Transforms.\n. Experience with Data Pages (parameterization, refresh strategies).\n. Knowledge of Data Flows and Data Sets.\n. Experience with Pega Integrations (REST, SOAP, Kafka).\n. Hands-on experience with SLAs (Case, Stage, Assignment).\n. Strong understanding of Pega class structures and rule resolution.\n. Experience with Pega Security rules (Access Groups, Roles, Privileges).\n. Proficiency in SQL, XML, JSON.\n. Good problem-solving and communication skills.",
"word_count": 118
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Pega PRPC"
},
{
"is_primary": true,
"skill_name": "Pega Platform"
},
{
"is_primary": true,
"skill_name": "Case Management"
},
{
"is_primary": true,
"skill_name": "Workflow Design"
},
{
"is_primary": true,
"skill_name": "Sections"
},
{
"is_primary": true,
"skill_name": "Harnesses"
},
{
"is_primary": true,
"skill_name": "Portals"
},
{
"is_primary": true,
"skill_name": "Constellations"
},
{
"is_primary": true,
"skill_name": "Activities"
},
{
"is_primary": true,
"skill_name": "Data Transforms"
},
{
"is_primary": true,
"skill_name": "Data Pages"
},
{
"is_primary": true,
"skill_name": "Data Flows"
},
{
"is_primary": true,
"skill_name": "Data Sets"
},
{
"is_primary": true,
"skill_name": "REST"
},
{
"is_primary": true,
"skill_name": "SOAP"
},
{
"is_primary": true,
"skill_name": "Kafka"
},
{
"is_primary": true,
"skill_name": "SLAs"
},
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": true,
"skill_name": "XML"
},
{
"is_primary": true,
"skill_name": "JSON"
}
],
"jd_role": {
"display_name": "Pega Developer",
"rationale": null,
"role_aliases": [
"Pega Engineer",
"Pega Consultant"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": null,
"job_locations": [],
"role": "Pega Developer",
"role_aliases": [
"Pega Engineer",
"Pega Consultant"
],
"role_archetype": "Engineering",
"roles_and_responsibilities": [
{
"bullet_count": 12,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Strong hands-on experience with Pega",
"last_5_words": "problem-solving and communication skills."
},
"text": "Strong hands-on experience with Pega PRPC / Pega Platform.\n. Experience in Case Management and Workflow Design.\n. Experience with UI development (Sections, Harnesses, Portals).\n. Knowledge of Constellations is must\n. Experience with Activities and Data Transforms.\n. Experience with Data Pages (parameterization, refresh strategies).\n. Knowledge of Data Flows and Data Sets.\n. Experience with Pega Integrations (REST, SOAP, Kafka).\n. Hands-on experience with SLAs (Case, Stage, Assignment).\n. Strong understanding of Pega class structures and rule resolution.\n. Experience with Pega Security rules (Access Groups, Roles, Privileges).\n. Proficiency in SQL, XML, JSON.\n. Good problem-solving and communication skills.",
"word_count": 118
}
],
"urls": []
},
"rejected": false,
"rejection_reason": null,
"run_id": "cf529069-497c-4c75-8320-7770a3534335",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "AI Engineer",
"matched_count": null,
"role_id": 13,
"score": 0.5556,
"slug": "ai-engineer",
"total_count": null
},
{
"display_name": "ML Engineer",
"matched_count": null,
"role_id": 3,
"score": 0.5294,
"slug": "ml-engineer",
"total_count": null
},
{
"display_name": "Frontend Engineer",
"matched_count": null,
"role_id": 7,
"score": 0.5294,
"slug": "frontend-engineer",
"total_count": null
},
{
"display_name": "AR/VR Engineer",
"matched_count": null,
"role_id": 8,
"score": 0.5294,
"slug": "ar-vr-engineer",
"total_count": null
},
{
"display_name": "Full Stack Engineer",
"matched_count": null,
"role_id": 15,
"score": 0.5294,
"slug": "full-stack-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "ML Ops Engineer",
"matched_count": null,
"role_id": 16,
"score": 0.3689,
"slug": "ml-ops-engineer",
"total_count": null
},
{
"display_name": "DevOps Engineer",
"matched_count": null,
"role_id": 10,
"score": 0.3311,
"slug": "devops-engineer",
"total_count": null
},
{
"display_name": "Frontend Engineer",
"matched_count": null,
"role_id": 7,
"score": 0.3285,
"slug": "frontend-engineer",
"total_count": null
},
{
"display_name": "AI Engineer",
"matched_count": null,
"role_id": 13,
"score": 0.3205,
"slug": "ai-engineer",
"total_count": null
},
{
"display_name": "AR/VR Engineer",
"matched_count": null,
"role_id": 8,
"score": 0.318,
"slug": "ar-vr-engineer",
"total_count": null
}
],
"skill_match_roles": [
{
"display_name": "Backend Engineer",
"matched_count": 3,
"role_id": 1,
"score": 0.15,
"slug": "backend-engineer",
"total_count": 20
},
{
"display_name": "Data Engineer",
"matched_count": 2,
"role_id": 2,
"score": 0.1,
"slug": "data-engineer",
"total_count": 20
},
{
"display_name": "Full Stack Engineer",
"matched_count": 1,
"role_id": 15,
"score": 0.05,
"slug": "full-stack-engineer",
"total_count": 20
}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "NEW",
"chosen_role": {
"display_name": "Pega Developer",
"matched_count": null,
"role_id": null,
"score": 0.0,
"slug": "pega-developer",
"total_count": null
},
"confidence": 0.0,
"is_new_role": true,
"llm2_fired": false,
"llm2_reasoning": null,
"new_role_display_name": "Pega Developer",
"new_role_slug": "pega-developer",
"queued": false,
"reasoning": "Stage 1 title \u0027Pega Developer\u0027 not in catalog; KRA inconclusive (0.37) and skill profile too weak to generalize (top_skill=0.15 \u003c 0.20). Finalizing as new role \u0027Pega Developer\u0027; v3 enriches the catalog in the background for future runs."
},
"stage5_updates": 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": 106,
"existing_alias_text": "REST",
"input_term": "REST",
"matched_canonical": {
"category_id": 10,
"display_name": "REST",
"id": 11,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PROTOCOL",
"slug": "rest",
"sub_category_id": 48,
"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": 211,
"existing_alias_text": "SOAP",
"input_term": "SOAP",
"matched_canonical": {
"category_id": 10,
"display_name": "SOAP",
"id": 70,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PROTOCOL",
"slug": "soap",
"sub_category_id": 54,
"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": 173,
"existing_alias_text": "Kafka",
"input_term": "Kafka",
"matched_canonical": {
"category_id": 9,
"display_name": "Kafka",
"id": 36,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
"slug": "kafka",
"sub_category_id": 47,
"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,
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"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": [
{
"alias_text": "XML",
"alias_type": "CANONICAL",
"id": 2600,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 4,
"display_name": "XML",
"id": 1636,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "STANDARD",
"slug": "xml",
"sub_category_id": 689,
"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": "XML",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "XML",
"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": "JSON",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Programming 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": "json",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Pega PRPC",
"Pega Platform",
"Case Management",
"Workflow Design",
"Sections",
"Harnesses",
"Portals",
"Constellations",
"Activities",
"Data Transforms",
"Data Pages",
"Data Flows",
"Data Sets",
"SLAs",
"JSON"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Pega Developer",
"id": null,
"rationale": "The primary skills all relate to Pega development, which necessitates a specialized title.",
"role_archetype": "Specialized role focused on Pega platform development and implementation.",
"slug": "pega-developer",
"source": "llm"
},
"chosen_role_resolution": "human_review_required",
"final_input_skills": [
{
"skill": "Pega PRPC",
"tag": "new"
},
{
"skill": "Pega Platform",
"tag": "new"
},
{
"skill": "Case Management",
"tag": "new"
},
{
"skill": "Workflow Design",
"tag": "new"
},
{
"skill": "Sections",
"tag": "new"
},
{
"skill": "Harnesses",
"tag": "new"
},
{
"skill": "Portals",
"tag": "new"
},
{
"skill": "Constellations",
"tag": "new"
},
{
"skill": "Activities",
"tag": "new"
},
{
"skill": "Data Transforms",
"tag": "new"
},
{
"skill": "Data Pages",
"tag": "new"
},
{
"skill": "Data Flows",
"tag": "new"
},
{
"skill": "Data Sets",
"tag": "new"
},
{
"skill": "REST",
"tag": "in_db"
},
{
"skill": "SOAP",
"tag": "in_db"
},
{
"skill": "Kafka",
"tag": "in_db"
},
{
"skill": "SLAs",
"tag": "new"
},
{
"skill": "SQL",
"tag": "in_db"
},
{
"skill": "XML",
"tag": "in_db"
},
{
"skill": "JSON",
"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": null,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "API Design and Contracts",
"id": 3,
"rationale": "Designing request/response shapes and the rules that govern client-server interaction. This cluster is coherent because full stack engineers often own the contract between UI behavior and backend implementation.",
"slug": "api-design-and-contracts",
"source": "db"
},
"dimension_id": 3,
"input_skill": "REST",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Backend Engineer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Full Stack Engineer",
"id": 15,
"rationale": null,
"role_archetype": null,
"slug": "full-stack-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 11,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": null,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "External System Integrations",
"id": 14,
"rationale": "Connecting backend services to third-party APIs and internal enterprise systems. Covers client libraries, webhooks, retries, data mapping, and integration failure handling.",
"slug": "external-system-integrations",
"source": "db"
},
"dimension_id": 14,
"input_skill": "SOAP",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Backend Engineer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 70,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": null,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Messaging and Event Streaming",
"id": 8,
"rationale": "Transport-layer systems used to move events and decouple producers from consumers. Data engineers use these systems to ingest, buffer, and distribute event data before downstream processing.",
"slug": "messaging-and-event-streaming",
"source": "db"
},
"dimension_id": 8,
"input_skill": "Kafka",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Backend Engineer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 36,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": null,
"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
},
{
"chosen_role_id": null,
"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": "XML",
"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": 1636,
"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": "cf529069-497c-4c75-8320-7770a3534335"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.