Pipeline run
6ef3a7fc-bf19-42d0-8697-dc36ad2ba9f3
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
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
DevOps Engineer
→Production Engineer
sub-role · 0.74 domain · DevOps & Platform CASE DOMAINslug: devops-engineer · id: 10 · source: db · sub-role slug: production-engineer
Domain=DevOps & Platform → sub-role production-engineer; The JD focuses on cloud platform services, containers/Kubernetes deployments, automation, testing, monitoring best practices, and escalations, which best matches a DevOps Engineer.
Matched skills
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
Job description
Working in IBM Cloud gives you the platform to learn, develop and utilize your skills everyday by working on the latest cloud related technology products and services. You'll be working in an environment where we understand how we can thrive best when we play to our strengths. That's why developing our people is key to our success, the door is always open for those ready to advance their career. Curiosity and courageous thinking are both vital when working in IBM Cloud, as we continue our dedication in guaranteeing that we are at the forefront of cloud technology. Our renowned legacy means we are leading the way in everything from analytics and security through to unmatched hardware & software designs. We provide our clients with the full end-to-end transformation as we build IBM's next generation cloud platform which is focused around delivering performance and predictability at a global scale.IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. We are looking for a backend developer to join our IBM Cloud VPC Observability team. This team is part of IBM Cloud VPC Service dedicated to ensuring that the IBM Cloud is at the forefront of reliable enterprise cloud technology. We are building Observability platforms to deliver performance, reliability and predictability for our customers' most demanding workloads, at global scale and with leadership efficiency, resiliency and security • Cloud Platform Expertise: Develop and maintain key cloud platform services, ensuring they align with business and technical requirements. • Efficient Code Development: Implement modern tools and techniques to create clean, efficient, and reusable code. • Performance Optimization: Identify and address design, development, and delivery performance bottlenecks to enhance overall system efficiency • Unit Testing and Automation: Define, implement, and execute unit tests, including automation, to ensure the reliability and robustness of the developed software • Progress Reporting: Regularly report progress to stakeholders, keeping them informed about development milestones and potential challenges. • You will be responsible for producing and enhancing features that collect, transform, and surface data on the various components of our cloud. • The ability to take in requirements on an agile basis and be able to work autonomously with high level perspective is a must. • You understand cloud native concepts and have experience with highly tunable and scalable Kubernetes based cloud deployments. • You will participate in the design of the service, writing tools and automation, building containers, developing tests, determining monitoring best practices and handling complex escalations.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
Aliases — catalog
- Kubernetes (CANONICAL) primary
- Kubernetes 1.0+ (VERSION)
- Kubernetes 1.x (VERSION)
- Kubernetes v1 (VERSION)
- k8s (VERSION)
- kubernetes 1.x (VERSION)
- kubernetes latest (VERSION)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Container Orchestration Platform
- Vendor
- Cloud Native Computing Foundation
- License
- apache_2
- Year introduced
- 2014
- Confidence
- 0.90
- Version strategy
- SEPARATE_ENTITY
- Version tag
- 1.30
Maturity reasoning: Broadly adopted in cloud-native stacks; Kubernetes appears in a large share of DevOps/SRE job descriptions and is the default orchestration platform across major cloud vendors.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 557
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Container Orchestration Platforms Catalog dimension db id 134
Library dimension (catalog)
Roles linked in library: Cloud Architect, DevOps Engineer
-
Kubernetes for ML Workloads Catalog dimension db id 47
Library dimension (catalog)
Roles linked in library: ML Engineer, MLOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Container Orchestration Platforms
container-orchestration-platforms
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
|
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Agile (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Methodology
- Sub-category
- Agile
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Agile appears in a large share of software job descriptions and is a standard hiring-pipeline requirement; Scrum/Kanban are commonly listed alongside it, showing broad market adoption.
Skill profile (library / DB)
- Skill nature
- METHODOLOGY
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 8
- Sub-category id
- 3594
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Software Concepts, Patterns & Practices Catalog dimension db id 478
Library dimension (catalog)
Roles linked in library: Engineering Manager
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) |
|
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Aliases — catalog
- Containers (CANONICAL) primary
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Layout Container Pattern
- Confidence
- 0.76
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Containers are a standard cloud-native skill: widely listed in JDs alongside Docker/Kubernetes and supported by major vendors (AWS, Azure, GCP) as a core deployment pattern.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 2889
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
React Frontend Development Catalog dimension db id 96
Library dimension (catalog)
-
Theme and Layout Customization Catalog dimension db id 392
Library dimension (catalog)
Roles linked in library: Magento Dev
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) |
|
Theme and Layout Customization
theme-and-layout-customization
|
✓ | — | 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
- Practices
- 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) |
Aliases — catalog
- Monitoring (CANONICAL)
Context tags (catalog)
Stored enrichment (catalog DB)
- Category
- Concept
- Sub-category
- Observability Monitoring
- Confidence
- 0.88
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: Monitoring is a standard requirement in most SRE/DevOps job descriptions and is bundled into major platforms like AWS CloudWatch, Datadog, and Prometheus, indicating broad market adoption.
Skill profile (library / DB)
- Skill nature
- CONCEPT
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 2
- Sub-category id
- 924
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Observability and Incident Triage Catalog dimension db id 155
Library dimension (catalog)
Roles linked in library: DevOps Engineer
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Observability and Incident Triage
observability-and-incident-triage
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
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
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 |
|---|---|---|---|---|---|---|
| Kubernetes | in_db |
Container Orchestration Platforms
container-orchestration-platforms
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| Kubernetes | in_db |
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Agile | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Agile | in_db |
Software Concepts, Patterns & Practices
software-concepts-patterns-practices
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Containers | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Containers | in_db |
Theme and Layout Customization
theme-and-layout-customization
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Unit Testing | in_db |
React Frontend Development
d_init_01
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| Monitoring | in_db |
Observability and Incident Triage
observability-and-incident-triage
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Automation | type=Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Cloud Native | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
Show raw JSON
{
"JD_type": "pass",
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"urls": []
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API 1 — extract-from-jd click to toggle
{
"final_skills": [
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},
{
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{
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{
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{
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{
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},
{
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"kra_match_roles": [
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"stage4_decision": {
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"matched_dimensions": [
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"Automation and Testing",
"Performance Optimization",
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],
"matched_kras": [
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"Identify and address performance bottlenecks",
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"Writing tools and automation",
"Building containers",
"determining monitoring best practices",
"handling complex escalations"
],
"matched_skills": [
"cloud platform services",
"unit tests",
"automation",
"cloud native",
"Kubernetes",
"containers",
"monitoring best practices"
],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=DevOps \u0026 Platform \u2192 sub-role production-engineer; The JD focuses on cloud platform services, containers/Kubernetes deployments, automation, testing, monitoring best practices, and escalations, which best matches a DevOps Engineer.",
"sub_role": {
"confidence": 0.74,
"display_name": "Production Engineer",
"reasoning": "The JD emphasizes cloud-native service ownership, containers, monitoring best practices, escalations, and Kubernetes-based deployments, which best matches a production/SRE-style engineering role rather than CI/CD, Ansible, or network automation.",
"role_id": 372,
"slug": "production-engineer"
}
},
"stage5_updates": {
"centroid_n_after": 87,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": null,
"new_skills_attached": [
{
"is_primary": true,
"queue_id": 17982,
"role_display_name": "DevOps Engineer",
"role_slug": "devops-engineer",
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},
{
"is_primary": true,
"queue_id": 17984,
"role_display_name": "DevOps Engineer",
"role_slug": "devops-engineer",
"skill_name": "Cloud Native",
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}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
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"alias_persisted": false,
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"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "PLATFORM",
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"typical_lifespan": "EVERGREEN",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"input_term": "Agile",
"matched_canonical": {
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"is_extractable": true,
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
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"input_term": "Containers",
"matched_canonical": {
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
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"typical_lifespan": "EVERGREEN",
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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": 865,
"existing_alias_text": "Unit Testing",
"input_term": "Unit Testing",
"matched_canonical": {
"category_id": 8,
"display_name": "Unit Testing",
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"is_also_category": false,
"is_extractable": true,
"skill_nature": "METHODOLOGY",
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"typical_lifespan": "EVERGREEN",
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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": 1854,
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"input_term": "Monitoring",
"matched_canonical": {
"category_id": 2,
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"is_extractable": true,
"skill_nature": "CONCEPT",
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},
"matched_via": "alias"
}
],
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},
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},
{
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},
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},
{
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"slug": "magento-dev",
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],
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},
"dimensions": [
{
"dimension": {
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"slug": "container-orchestration-platforms",
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},
"input_skill": "Kubernetes",
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"roles_from_db": [
{
"display_name": "Cloud Architect",
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"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
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"role_archetype": null,
"slug": "devops-engineer",
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}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Kubernetes for ML Workloads",
"id": 47,
"rationale": "Kubernetes-native components used to schedule, accelerate, and isolate ML training and serving workloads. This includes GPU enablement and ML-specific controllers rather than generic cluster administration.",
"slug": "kubernetes-for-ml-workloads",
"source": "db"
},
"input_skill": "Kubernetes",
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"roles_from_db": [
{
"display_name": "ML Engineer",
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"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
]
},
{
"dimension": {
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"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": "Agile",
"llm_role": null,
"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Software Concepts, Patterns \u0026 Practices",
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"slug": "software-concepts-patterns-practices",
"source": "db"
},
"input_skill": "Agile",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
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"slug": "engineering-manager",
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}
]
},
{
"dimension": {
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"display_name": "React Frontend Development",
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},
"input_skill": "Containers",
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"roles_from_db": []
},
{
"dimension": {
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"rationale": "Storefront presentation work for Magento themes, templates, layout XML, and page composition. This cluster covers how commerce pages are rendered and structured without owning generic frontend architecture.",
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"source": "db"
},
"input_skill": "Containers",
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"roles_from_db": [
{
"display_name": "Magento Dev",
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}
]
},
{
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"display_name": "React Frontend Development",
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"slug": "d_init_01",
"source": "db"
},
"input_skill": "Unit Testing",
"llm_role": null,
"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Incident Triage",
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"rationale": "Telemetry, alerting, and troubleshooting practices used to diagnose failed builds, broken deployments, and unhealthy release environments. This is a coherent cluster because delivery reliability depends on quickly identifying where the workflow failed.",
"slug": "observability-and-incident-triage",
"source": "db"
},
"input_skill": "Monitoring",
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"roles_from_db": [
{
"display_name": "DevOps Engineer",
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"slug": "devops-engineer",
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}
]
}
],
"input_final_skills": [
"Kubernetes",
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"Containers",
"Automation",
"Unit Testing",
"Monitoring",
"Cloud Native"
],
"input_llm_skills": [
"Kubernetes",
"Agile",
"Containers",
"Automation",
"Unit Testing",
"Monitoring",
"Cloud Native"
],
"new_aliases_persisted": 0,
"run_id": "6ef3a7fc-bf19-42d0-8697-dc36ad2ba9f3",
"skills_detail": [
{
"aliases_in_db": [
{
"alias_text": "Kubernetes",
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"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Kubernetes 1.0+",
"alias_type": "VERSION",
"id": 1271,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Kubernetes 1.x",
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"id": 1270,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "Kubernetes v1",
"alias_type": "VERSION",
"id": 1269,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "k8s",
"alias_type": "VERSION",
"id": 1268,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "kubernetes 1.x",
"alias_type": "VERSION",
"id": 1400,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
},
{
"alias_text": "kubernetes latest",
"alias_type": "VERSION",
"id": 1401,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
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"id": 726,
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"is_extractable": true,
"skill_nature": "PLATFORM",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
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"slug": "container-orchestration-platforms",
"source": "db"
},
"input_skill": "Kubernetes",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
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"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "DevOps Engineer",
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"slug": "devops-engineer",
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}
]
},
{
"dimension": {
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"rationale": "Kubernetes-native components used to schedule, accelerate, and isolate ML training and serving workloads. This includes GPU enablement and ML-specific controllers rather than generic cluster administration.",
"slug": "kubernetes-for-ml-workloads",
"source": "db"
},
"input_skill": "Kubernetes",
"llm_role": null,
"roles_from_db": [
{
"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
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"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
}
]
}
],
"input_skill": "Kubernetes",
"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": "Agile",
"alias_type": "CANONICAL",
"id": 868,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 8,
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"is_extractable": true,
"skill_nature": "METHODOLOGY",
"slug": "agile",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
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"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",
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},
"input_skill": "Agile",
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"roles_from_db": []
},
{
"dimension": {
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"display_name": "Software Concepts, Patterns \u0026 Practices",
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"rationale": "Champion foundational software design patterns, development methodologies, and engineering best practices.",
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},
"input_skill": "Agile",
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"roles_from_db": [
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
]
}
],
"input_skill": "Agile",
"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": "Containers",
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"id": 2525,
"is_primary": true,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "Containers",
"id": 1579,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "containers",
"sub_category_id": 2889,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "React Frontend Development",
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"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.",
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"source": "db"
},
"input_skill": "Containers",
"llm_role": null,
"roles_from_db": []
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Theme and Layout Customization",
"id": 392,
"rationale": "Storefront presentation work for Magento themes, templates, layout XML, and page composition. This cluster covers how commerce pages are rendered and structured without owning generic frontend architecture.",
"slug": "theme-and-layout-customization",
"source": "db"
},
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"roles_from_db": [
{
"display_name": "Magento Dev",
"id": 231,
"rationale": null,
"role_archetype": "Engineering",
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}
]
}
],
"input_skill": "Containers",
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"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": "Automation",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Practices",
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"sub_category": "general",
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"volatility": "MEDIUM"
},
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"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
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"warnings": []
},
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},
{
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{
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"id": 865,
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}
],
"canonical": {
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"is_extractable": true,
"skill_nature": "METHODOLOGY",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
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"rationale": "Building interactive web user interfaces with React.js, including component composition, state management, hooks, and rendering patterns. React.js belongs here because it is a core library for client-side UI development in modern web applications.",
"slug": "d_init_01",
"source": "db"
},
"input_skill": "Unit Testing",
"llm_role": null,
"roles_from_db": []
}
],
"input_skill": "Unit Testing",
"matched_via": "alias",
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": null,
"source_tag": "db",
"was_in_llm_skills": true
},
{
"aliases_in_db": [
{
"alias_text": "Monitoring",
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"id": 1854,
"is_primary": false,
"match_strategy": "CASE_INSENSITIVE"
}
],
"canonical": {
"category_id": 2,
"display_name": "Monitoring",
"id": 1218,
"is_also_category": false,
"is_extractable": true,
"skill_nature": "CONCEPT",
"slug": "monitoring",
"sub_category_id": 924,
"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"dimensions": [
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Observability and Incident Triage",
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"rationale": "Telemetry, alerting, and troubleshooting practices used to diagnose failed builds, broken deployments, and unhealthy release environments. This is a coherent cluster because delivery reliability depends on quickly identifying where the workflow failed.",
"slug": "observability-and-incident-triage",
"source": "db"
},
"input_skill": "Monitoring",
"llm_role": null,
"roles_from_db": [
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
}
]
}
],
"input_skill": "Monitoring",
"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": "Cloud Native",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Concepts",
"skill_nature": "CONCEPT",
"sub_category": "general",
"typical_lifespan": "MULTI_YEAR",
"version_strategy": "UNVERSIONED",
"volatility": "MEDIUM"
},
"enrichment": null,
"keep_log": [],
"locked_dimensions": [],
"merge_log": [],
"placed": null,
"relationships": null,
"skill_id": "cloud-native",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"was_in_llm_skills": true
}
],
"unmatched_skills": [
"Automation",
"Cloud Native"
]
}
API 3 — final-role-output
{
"chosen_role": {
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