Pipeline run
99c41381-52b8-4cad-b96e-41c69271b57e
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
v3 pipeline · Oracle EBS Developer
pending1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Oracle EBS Developer
CASE EXCEL_NEWslug: oracle-ebs-developer · id: 56 · source: db
JD title '' not in catalog; Excel taxonomy matched 'Oracle EBS Developer' (confidence 0.80): The job description emphasizes strong knowledge in Oracle PL/SQL and experience with complex SQL queries, which aligns well with the responsibilities of an Oracle EBS Developer.
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Job Location: PAN INDIA Job Type: Full Time Experience: 4+ years Bachelor’s Degree in Computer Science or related field, or equivalent work experience5+ years of Kronos configuration experience requiredStrong knowledge on Oracle PL/SQL part – Rating should be 8/10Good Knowledge on Kronos like, WIM, Time & Attendance, Scheduling and Accrual – Rating should be 6.5-7/10Hands on experience in Workforce Integration ManagerExperience in building Inbound and Outbound InterfacesAble to Analyze and handle complicated interfaces including calculationsCapable of understanding the flow of Scheduled Jobs related to InterfacesStrong knowledge in SQL or Oracle Database5+ years of Data engineering experience with SQL and/or NoSQL environment and Functional knowledge on Kronos is preferredExperience in building complex SQL queries and stored procedures based on requirement. Understanding of how to model data, build pipelines, write optimized SQL and report and dashboard creationBusiness requirement gathering and analyses experienceComputer Science fundamentals in data structures, algorithms, problem solving and complexity analysisKnowledge on Technical Design Documentation work for whole ImplementationAbility to work with end users on testing or User TrainingAbility to do the Pay file Comparison/ValidationConfiguration knowledge with Kronos Version 6.3Able to understand the flow of Unit Testing, QA, SIT and parallel testing.
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
- Workforce Management Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- PL/SQL (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Language
- Sub-category
- Procedural Sql Language
- Vendor
- Oracle Corporation
- License
- proprietary
- Year introduced
- 1990
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: PL/SQL appears frequently in Oracle-focused job postings and remains a standard skill for Oracle database development and maintenance; it is not sunset or replaced by a newer successor.
Skill profile (library / DB)
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 6
- Sub-category id
- 1173
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
React Frontend Development
d_init_01
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Workforce Management Tools
- Sub-category
- general
- Skill nature
- TOOL
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Workforce Management Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- Workforce Management Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- Workforce Management Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- Workforce Management Tools
- Sub-category
- general
- Skill nature
- TOOL
- 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)
-
Pega Programming Languages & DSLs Catalog dimension db id 267
Library dimension (catalog)
Roles linked in library: Pega Developer
-
Programming Languages & DSLs Catalog dimension db id 475
Library dimension (catalog)
Roles linked in library: Engineering Manager
-
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 |
|---|---|---|---|
|
Pega Programming Languages & DSLs
pega-programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Programming Languages & DSLs
programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Programming Languages for Data Work
programming-languages-for-data-work
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Oracle Database (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Datastore
- Sub-category
- Relational Database
- Vendor
- Oracle Corporation
- License
- proprietary
- Year introduced
- 1979
- Confidence
- 0.98
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Oracle Database appears in many enterprise job postings and remains a standard RDBMS in large regulated environments; Oracle continues active vendor support and releases, indicating broad market demand.
Skill profile (library / DB)
- Skill nature
- TOOL
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 3
- Sub-category id
- 29
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Relational Database Design Catalog dimension db id 4
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, Python Backend Developer, Ruby Backend Developer, Scala Backend Developer
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) |
|
Relational Database Design
relational-database-design
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- NoSQL (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Database Paradigm
- Confidence
- 0.93
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: NoSQL is broadly listed in job descriptions across backend/data roles, with MongoDB, DynamoDB, and Cassandra appearing as common market signals; it remains a hiring-pipeline staple rather than a niche or sunset tech.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 1019
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
NoSQL Databases Catalog dimension db id 19
Library dimension (catalog)
Roles linked in library: Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
NoSQL Databases
nosql-databases
|
✓ | — | 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
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- Databases
- Sub-category
- general
- Skill nature
- LANGUAGE
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Version strategy
- UNVERSIONED
Aliases — catalog
- domain modeling (CANONICAL) primary
- Domain Modeling (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Domain Modeling
- Confidence
- 0.90
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Common in software JDs under DDD/business analysis; many roles ask for domain modeling or domain-driven design, and it remains a standard design skill rather than a niche tool.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 2831
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Application Architecture Patterns Catalog dimension db id 293
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Python Backend Developer
-
Service Architecture and Design Patterns Catalog dimension db id 18
Library dimension (catalog)
Roles linked in library: Backend Developer, Java Backend Developer, Kotlin Backend Developer, Node.js Backend Developer, PHP Backend Developer, Ruby Backend Developer, Scala Backend Developer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Application Architecture Patterns
application-architecture-patterns
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
|
Service Architecture and Design Patterns
service-architecture-and-design-patterns
|
— | — |
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
|
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Data Engineering Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Aliases — catalog
- Unit Testing (CANONICAL)
Context tags (catalog)
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) |
Skill enrichment (orchestrator / LLM)
No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).
- Category
- Quality Assurance Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- Quality Assurance Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- 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
- Quality Assurance Tools
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
All API 3 persistence rows
Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.
| Skill | Tag | Dimension | Skill↔dim | Role↔dim | Outcome | Notes |
|---|---|---|---|---|---|---|
| Oracle PL/SQL | new |
React Frontend Development
d_init_01
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| SQL | in_db |
Pega Programming Languages & DSLs
pega-programming-languages-dsls
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| SQL | in_db |
Programming Languages & DSLs
programming-languages-dsls
|
✓ | — | 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) | |
| Oracle Database | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Oracle Database | in_db |
Relational Database Design
relational-database-design
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| NoSQL | in_db |
NoSQL Databases
nosql-databases
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Data Modeling | new |
Application Architecture Patterns
application-architecture-patterns
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| Data Modeling | new |
Service Architecture and Design Patterns
service-architecture-and-design-patterns
|
— | — | Skipped — no persistable v3 meta for new skill | skill_not_in_db_v3_proposed |
| 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 | Kronos | type=Workforce Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | WIM | type=Workforce Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Time & Attendance | type=Workforce Management Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Scheduling | type=Workforce Management Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Accrual | type=Workforce Management Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Workforce Integration Manager | type=Workforce Management Tools subtype=general nature=TOOL lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Data Engineering | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Stored Procedures | type=Databases subtype=general nature=LANGUAGE lifespan=EVERGREEN | |
| canonical_skill_proposed | Pipelines | type=Data Engineering Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | QA | type=Quality Assurance Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | SIT | type=Quality Assurance Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Parallel Testing | type=Quality Assurance Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| dimension_skill_link_proposed | Oracle PL/SQL ↔ React Frontend Development | |
| dimension_skill_link_proposed | Data Modeling ↔ Application Architecture Patterns | |
| dimension_skill_link_proposed | Data Modeling ↔ Service Architecture and Design Patterns |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "fail",
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"Flow",
"Unit Testing",
"build pipelines",
"Algorithms",
"Data Structures",
"NoSQL",
"PL/SQL",
"SQL",
"Dashboard",
"Location"
],
"role_archetype": "Engineering"
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "Kronos"
},
{
"is_primary": true,
"skill_name": "Oracle PL/SQL"
},
{
"is_primary": true,
"skill_name": "WIM"
},
{
"is_primary": true,
"skill_name": "Time \u0026 Attendance"
},
{
"is_primary": true,
"skill_name": "Scheduling"
},
{
"is_primary": true,
"skill_name": "Accrual"
},
{
"is_primary": true,
"skill_name": "Workforce Integration Manager"
},
{
"is_primary": true,
"skill_name": "SQL"
},
{
"is_primary": true,
"skill_name": "Oracle Database"
},
{
"is_primary": true,
"skill_name": "NoSQL"
},
{
"is_primary": true,
"skill_name": "Data Engineering"
},
{
"is_primary": true,
"skill_name": "Stored Procedures"
},
{
"is_primary": true,
"skill_name": "Data Modeling"
},
{
"is_primary": true,
"skill_name": "Pipelines"
},
{
"is_primary": true,
"skill_name": "Unit Testing"
},
{
"is_primary": true,
"skill_name": "QA"
},
{
"is_primary": true,
"skill_name": "SIT"
},
{
"is_primary": true,
"skill_name": "Parallel Testing"
}
],
"jd_role": null,
"nano_parsed": {
"JD_type": "fail",
"archetype_override_applied": true,
"archetype_override_matched_skills": [
"Flow",
"Unit Testing",
"build pipelines",
"Algorithms",
"Data Structures",
"NoSQL",
"PL/SQL",
"SQL",
"Dashboard",
"Location"
],
"role_archetype": "Engineering"
},
"rejected": false,
"rejection_reason": null,
"run_id": "99c41381-52b8-4cad-b96e-41c69271b57e",
"stage3_signals": {
"alias_found": false,
"alias_match_roles": [],
"kra_match_roles": [
{
"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": "Understanding of how to model data, build pipelines, write optimized SQL and report and dashboard creationBusiness requirement gathering and analyses experienceComputer Science fundamentals in data structures, algorithms, problem solving and complexity analysisKnowledge on Technical Design Documentation work for whole ImplementationAbility to work with end users on testing or User TrainingAbility to do the Pay file Comparison/ValidationConfiguration knowledge with Kronos Version 6.3Able to understand the flow of Unit Testing, QA, SIT and parallel testing.",
"similarity": 0.5292
},
{
"kra_text": "Works with data analysts, data scientists, and business stakeholders to define data models, ingestion schedules, and data delivery requirements.",
"sentence": "Bachelor\u2019s Degree in Computer Science or related field, or equivalent work experience5+ years of\u00a0Kronos\u00a0configuration experience requiredStrong knowledge on Oracle PL/SQL part \u2013 Rating should be 8/10Good Knowledge on Kronos like, WIM, Time \u0026 Attendance, Scheduling and Accrual \u2013 Rating should be 6.5-7/10Hands on experience in Workforce Integration ManagerExperience in building Inbound and Outbound InterfacesAble to Analyze and handle complicated interfaces including calculationsCapable of understanding the flow of Scheduled Jobs related to InterfacesStrong knowledge in SQL or Oracle Database5+ years of Data engineering experience with SQL and/or NoSQL environment and Functional knowledge on Kronos is preferredExperience in building complex SQL queries and stored procedures based on requirement.",
"similarity": 0.324
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 2,
"score": 0.4266,
"slug": "data-engineer",
"total_count": null
},
{
"display_name": "Pega Developer",
"kra_matches": [
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Understanding of how to model data, build pipelines, write optimized SQL and report and dashboard creationBusiness requirement gathering and analyses experienceComputer Science fundamentals in data structures, algorithms, problem solving and complexity analysisKnowledge on Technical Design Documentation work for whole ImplementationAbility to work with end users on testing or User TrainingAbility to do the Pay file Comparison/ValidationConfiguration knowledge with Kronos Version 6.3Able to understand the flow of Unit Testing, QA, SIT and parallel testing.",
"similarity": 0.4455
},
{
"kra_text": "Requirements analysis and process translation",
"sentence": "Bachelor\u2019s Degree in Computer Science or related field, or equivalent work experience5+ years of\u00a0Kronos\u00a0configuration experience requiredStrong knowledge on Oracle PL/SQL part \u2013 Rating should be 8/10Good Knowledge on Kronos like, WIM, Time \u0026 Attendance, Scheduling and Accrual \u2013 Rating should be 6.5-7/10Hands on experience in Workforce Integration ManagerExperience in building Inbound and Outbound InterfacesAble to Analyze and handle complicated interfaces including calculationsCapable of understanding the flow of Scheduled Jobs related to InterfacesStrong knowledge in SQL or Oracle Database5+ years of Data engineering experience with SQL and/or NoSQL environment and Functional knowledge on Kronos is preferredExperience in building complex SQL queries and stored procedures based on requirement.",
"similarity": 0.3426
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 24,
"score": 0.394,
"slug": "pega-developer",
"total_count": null
},
{
"display_name": "Java Backend Developer",
"kra_matches": [
{
"kra_text": "persistence and data modeling",
"sentence": "Understanding of how to model data, build pipelines, write optimized SQL and report and dashboard creationBusiness requirement gathering and analyses experienceComputer Science fundamentals in data structures, algorithms, problem solving and complexity analysisKnowledge on Technical Design Documentation work for whole ImplementationAbility to work with end users on testing or User TrainingAbility to do the Pay file Comparison/ValidationConfiguration knowledge with Kronos Version 6.3Able to understand the flow of Unit Testing, QA, SIT and parallel testing.",
"similarity": 0.4573
},
{
"kra_text": "asynchronous job processing",
"sentence": "Bachelor\u2019s Degree in Computer Science or related field, or equivalent work experience5+ years of\u00a0Kronos\u00a0configuration experience requiredStrong knowledge on Oracle PL/SQL part \u2013 Rating should be 8/10Good Knowledge on Kronos like, WIM, Time \u0026 Attendance, Scheduling and Accrual \u2013 Rating should be 6.5-7/10Hands on experience in Workforce Integration ManagerExperience in building Inbound and Outbound InterfacesAble to Analyze and handle complicated interfaces including calculationsCapable of understanding the flow of Scheduled Jobs related to InterfacesStrong knowledge in SQL or Oracle Database5+ years of Data engineering experience with SQL and/or NoSQL environment and Functional knowledge on Kronos is preferredExperience in building complex SQL queries and stored procedures based on requirement.",
"similarity": 0.3163
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 79,
"score": 0.3868,
"slug": "java-backend-developer",
"total_count": null
},
{
"display_name": "Scala Backend Developer",
"kra_matches": [
{
"kra_text": "application data modeling",
"sentence": "Understanding of how to model data, build pipelines, write optimized SQL and report and dashboard creationBusiness requirement gathering and analyses experienceComputer Science fundamentals in data structures, algorithms, problem solving and complexity analysisKnowledge on Technical Design Documentation work for whole ImplementationAbility to work with end users on testing or User TrainingAbility to do the Pay file Comparison/ValidationConfiguration knowledge with Kronos Version 6.3Able to understand the flow of Unit Testing, QA, SIT and parallel testing.",
"similarity": 0.4217
},
{
"kra_text": "backend workflow orchestration",
"sentence": "Bachelor\u2019s Degree in Computer Science or related field, or equivalent work experience5+ years of\u00a0Kronos\u00a0configuration experience requiredStrong knowledge on Oracle PL/SQL part \u2013 Rating should be 8/10Good Knowledge on Kronos like, WIM, Time \u0026 Attendance, Scheduling and Accrual \u2013 Rating should be 6.5-7/10Hands on experience in Workforce Integration ManagerExperience in building Inbound and Outbound InterfacesAble to Analyze and handle complicated interfaces including calculationsCapable of understanding the flow of Scheduled Jobs related to InterfacesStrong knowledge in SQL or Oracle Database5+ years of Data engineering experience with SQL and/or NoSQL environment and Functional knowledge on Kronos is preferredExperience in building complex SQL queries and stored procedures based on requirement.",
"similarity": 0.3415
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 87,
"score": 0.3816,
"slug": "scala-backend-developer",
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},
{
"display_name": "MLOps Engineer",
"kra_matches": [
{
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"similarity": 0.4537
},
{
"kra_text": "Coordinates model promotion workflows across development, staging, and production environments including integration testing and data contract validation.",
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"matched_skills": null,
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}
],
"skill_match_roles": [
{
"display_name": "Backend Developer",
"kra_matches": null,
"matched_count": 2,
"matched_skills": [
"NoSQL",
"Oracle Database"
],
"role_id": 1,
"score": 0.1111,
"slug": "backend-engineer",
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},
{
"display_name": "Data Engineer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"SQL"
],
"role_id": 2,
"score": 0.0556,
"slug": "data-engineer",
"total_count": 18
},
{
"display_name": "Pega Developer",
"kra_matches": null,
"matched_count": 1,
"matched_skills": [
"SQL"
],
"role_id": 24,
"score": 0.0556,
"slug": "pega-developer",
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},
{
"display_name": "Python Backend Developer",
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"matched_count": 1,
"matched_skills": [
"Oracle Database"
],
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},
{
"display_name": "Node.js Backend Developer",
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"matched_count": 1,
"matched_skills": [
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],
"role_id": 82,
"score": 0.0556,
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]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "EXCEL_NEW",
"chosen_role": {
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"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 56,
"score": 0.8,
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},
"confidence": 0.8,
"is_new_role": true,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [],
"matched_kras": [],
"matched_skills": [],
"new_role_display_name": "Oracle EBS Developer",
"new_role_slug": "oracle-ebs-developer",
"queued": false,
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"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 3,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [
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},
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},
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},
{
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"role_display_name": "Oracle EBS Developer",
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"skill_name": "Time \u0026 Attendance",
"status": "pending"
},
{
"is_primary": true,
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"role_display_name": "Oracle EBS Developer",
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},
{
"is_primary": true,
"queue_id": 20501,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Accrual",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 20502,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Workforce Integration Manager",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 20503,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Data Engineering",
"status": "pending"
},
{
"is_primary": true,
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"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Stored Procedures",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 20505,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Data Modeling",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 20506,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Pipelines",
"status": "pending"
},
{
"is_primary": true,
"queue_id": 20507,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "QA",
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},
{
"is_primary": true,
"queue_id": 20508,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "SIT",
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},
{
"is_primary": true,
"queue_id": 20509,
"role_display_name": "Oracle EBS Developer",
"role_slug": "oracle-ebs-developer",
"skill_name": "Parallel Testing",
"status": "pending"
}
],
"queue_entry_id": null,
"v3_pipeline_triggered": true,
"v3_role_slug": "oracle-ebs-developer",
"v3_run_id": "b20f2083-27c6-4fde-8921-bc1e4cdafa94"
}
}
API 2 — extract-details
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"alias_persisted": false,
"existing_alias_id": 2513,
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"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "LANGUAGE",
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"sub_category_id": 1173,
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},
"matched_via": "embedding_alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"matched_canonical": {
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"is_also_category": false,
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},
"matched_via": "alias"
},
{
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "TOOL",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 1989,
"existing_alias_text": "NoSQL",
"input_term": "NoSQL",
"matched_canonical": {
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"display_name": "NoSQL",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "nosql",
"sub_category_id": 1019,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
"alias_persisted": false,
"existing_alias_id": 5644,
"existing_alias_text": "Domain Modeling",
"input_term": "Data Modeling",
"matched_canonical": {
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"display_name": "domain modeling",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "METHODOLOGY",
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"sub_category_id": 2831,
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},
"matched_via": "embedding_alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"input_term": "Unit Testing",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "METHODOLOGY",
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},
"matched_via": "alias"
}
],
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},
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},
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"dimension": {
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]
},
{
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},
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},
{
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"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Kronos",
"WIM",
"Time \u0026 Attendance",
"Scheduling",
"Accrual",
"Workforce Integration Manager",
"Data Engineering",
"Stored Procedures",
"Pipelines",
"QA",
"SIT",
"Parallel Testing"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Oracle EBS Developer",
"id": 56,
"rationale": "JD title \u0027\u0027 not in catalog; Excel taxonomy matched \u0027Oracle EBS Developer\u0027 (confidence 0.80): The job description emphasizes strong knowledge in Oracle PL/SQL and experience with complex SQL queries, which aligns well with the responsibilities of an Oracle EBS Developer.",
"role_archetype": null,
"slug": "oracle-ebs-developer",
"source": "db"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "Kronos",
"tag": "new"
},
{
"skill": "Oracle PL/SQL",
"tag": "in_db"
},
{
"skill": "WIM",
"tag": "new"
},
{
"skill": "Time \u0026 Attendance",
"tag": "new"
},
{
"skill": "Scheduling",
"tag": "new"
},
{
"skill": "Accrual",
"tag": "new"
},
{
"skill": "Workforce Integration Manager",
"tag": "new"
},
{
"skill": "SQL",
"tag": "in_db"
},
{
"skill": "Oracle Database",
"tag": "in_db"
},
{
"skill": "NoSQL",
"tag": "in_db"
},
{
"skill": "Data Engineering",
"tag": "new"
},
{
"skill": "Stored Procedures",
"tag": "new"
},
{
"skill": "Data Modeling",
"tag": "in_db"
},
{
"skill": "Pipelines",
"tag": "new"
},
{
"skill": "Unit Testing",
"tag": "in_db"
},
{
"skill": "QA",
"tag": "new"
},
{
"skill": "SIT",
"tag": "new"
},
{
"skill": "Parallel Testing",
"tag": "new"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 56,
"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": "Oracle PL/SQL",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
},
{
"chosen_role_id": 56,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Pega Programming Languages \u0026 DSLs",
"id": 267,
"rationale": "Programming languages and domain-specific languages used in Pega development.",
"slug": "pega-programming-languages-dsls",
"source": "db"
},
"dimension_id": 267,
"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": "Pega Developer",
"id": 24,
"rationale": null,
"role_archetype": null,
"slug": "pega-developer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 101,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 56,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Programming Languages \u0026 DSLs",
"id": 475,
"rationale": "Oversee and guide the selection and effective use of programming and domain\u2010specific languages in software projects.",
"slug": "programming-languages-dsls",
"source": "db"
},
"dimension_id": 475,
"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": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 101,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 56,
"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": 56,
"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": "Oracle Database",
"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": 1566,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 56,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Relational Database Design",
"id": 4,
"rationale": "Modeling and operating relational persistence for backend services. Includes schema design, normalization, indexing, transactions, and query tuning for operational data stores.",
"slug": "relational-database-design",
"source": "db"
},
"dimension_id": 4,
"input_skill": "Oracle Database",
"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": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
},
{
"display_name": "Backend Developer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
},
{
"display_name": "Ruby Backend Developer",
"id": 85,
"rationale": null,
"role_archetype": "Engineering",
"slug": "ruby-backend-developer",
"source": "db"
},
{
"display_name": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 1566,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 56,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "NoSQL Databases",
"id": 19,
"rationale": "Models and manages data using non-relational database systems.",
"slug": "nosql-databases",
"source": "db"
},
"dimension_id": 19,
"input_skill": "NoSQL",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Backend Developer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 1346,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 56,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Application Architecture Patterns",
"id": 293,
"rationale": "Structural patterns for organizing Python backend code into maintainable modules, layers, and feature boundaries. This is a coherent cluster because senior backend developers are expected to refactor and shape service internals over time.",
"slug": "application-architecture-patterns",
"source": "db"
},
"dimension_id": 293,
"input_skill": "Data Modeling",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
}
],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
},
{
"chosen_role_id": 56,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Service Architecture and Design Patterns",
"id": 18,
"rationale": "Reusable backend design patterns used to structure service code and boundaries. Covers layering, dependency management, domain modeling, and maintainable service organization.",
"slug": "service-architecture-and-design-patterns",
"source": "db"
},
"dimension_id": 18,
"input_skill": "Data Modeling",
"llm_role": null,
"matched_chosen_role": false,
"outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
"role_dimension_saved": false,
"roles_from_db": [
{
"display_name": "Backend Developer",
"id": 1,
"rationale": null,
"role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
"slug": "backend-engineer",
"source": "db"
},
{
"display_name": "Java Backend Developer",
"id": 79,
"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
},
{
"display_name": "PHP Backend Developer",
"id": 86,
"rationale": null,
"role_archetype": "Engineering",
"slug": "php-backend-developer",
"source": "db"
},
{
"display_name": "Ruby Backend Developer",
"id": 85,
"rationale": null,
"role_archetype": "Engineering",
"slug": "ruby-backend-developer",
"source": "db"
},
{
"display_name": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
],
"skill_dimension_saved": false,
"skill_id": null,
"skill_tag": "new",
"skipped_reason": "skill_not_in_db_v3_proposed"
},
{
"chosen_role_id": 56,
"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": "Unit Testing",
"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": 517,
"skill_tag": "in_db",
"skipped_reason": null
}
],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 3
},
"planner_output": null,
"run_id": "99c41381-52b8-4cad-b96e-41c69271b57e"
}