Repository Metadata

Generate structured catalog-info.yaml metadata for repositories using industry-standard conventions (based on Backstage catalog format). This metadata enables cross-repository architecture analysis and service catalog functionality.

Purpose

Create and maintain catalog-info.yaml files that describe a repository's role in the broader architecture. This metadata feeds into architectural views, dependency graphs, and service groupings across the entire organization.

When to Use

Trigger this skill when:

• User asks to "generate repo metadata" or "create catalog-info.yaml"
• User wants to document a repository for a service catalog
• User needs to prepare a repository for cross-repo architecture analysis
• User mentions "service catalog" or "component metadata"

Metadata Schema

The catalog-info.yaml file follows Backstage conventions with Astrabit-specific extensions:

apiVersion: astrabit.io/v1
kind: Component
metadata:
  name: service-name          # Required: Unique identifier
  description: Brief description
  tags:
    - backend
    - user-management
spec:
  # Service Classification
  type: service               # Required: service, gateway, worker, library, frontend, database
  category: backend           # Broader category
  domain: trading             # Business domain
  owner: platform-team        # Team responsible

  # Dependencies (Upstream)
  dependsOn:
    - component: auth-service
      type: service
    - component: user-db
      type: database

  # APIs Provided
  providesApis:
    - name: User API
      type: REST
      definition: ./openapi.yaml

  # APIs Consumed
  consumesApis:
    - name: Auth API
      providedBy: auth-service

  # Events Produced
  eventProducers:
    - name: user-events
      type: kafka
      topic: user.created
      schema: avro

  # Events Consumed
  eventConsumers:
    - name: order-events
      type: kafka
      topic: order.placed
      group: user-service-group

  # HTTP Routes (for gateways/services)
  routes:
    - path: /api/users/*
      methods: [GET, POST, PUT, DELETE]
      handler: this
    - path: /api/auth/*
      methods: [POST]
      forwardsTo: auth-service

  # Infrastructure
  runtime: nodejs             # nodejs, python, go, java, etc.
  framework: nestjs           # nestjs, fastapi, spring, etc.

Generation Workflow

Phase 1: Analyze Repository

Gather information about the repository:

1. Use existing analysis scripts:

   python skills/repo-docs/scripts/analyze-repo-structure.py /path/to/repo
   python skills/repo-docs/scripts/find-integration-points.py /path/to/repo
   

2. Read existing documentation:

   • Check for INTEGRATIONS.md - contains upstream/downstream relationships
   • Check for ARCHITECTURE.md - contains service role and dependencies
   • Check for README.md - contains basic description and tech stack

3. Detect from code:

   • Language from file extensions and package files
   • Framework from dependencies
   • Integration points from import patterns

Phase 2: Generate Metadata

Based on analysis, generate catalog-info.yaml with detected values:

Phase 3: Present and Refine

Present the generated metadata to the user in a table format:

Generated catalog-info.yaml:

| Field | Value | Source |
|-------|-------|--------|
| name | user-service | repo name |
| type | service | detected: has routes and consumers |
| runtime | nodejs | package.json |
| framework | nestjs | dependencies |
| domain | unknown | ❌ needs input |
| owner | unknown | ❌ needs input |
| dependsOn | auth-service, user-db | integration scan |

Prompt user to review and fill in missing fields (marked with ❌).

Phase 4: Write Metadata File

Write catalog-info.yaml to the repository root.

Phase 5: Update Related Documentation

Offer to update related docs to reference the new metadata file:

• Add link to catalog-info.yaml in README.md
• Update INTEGRATIONS.md to be consistent with metadata

Service Type Detection

Script Usage

Use scripts/generate-metadata.py to automate metadata generation:

# Generate from current directory
python skills/repo-metadata/scripts/generate-metadata.py

# Generate from specific repo
python skills/repo-metadata/scripts/generate-metadata.py /path/to/repo

# Output as JSON for inspection
python skills/repo-metadata/scripts/generate-metadata.py --format json

The script:

1. Runs repo structure analysis
2. Scans for integration points
3. Reads existing docs
4. Outputs catalog-info.yaml content

Additional Resources

Reference Files

• references/schema.md - Complete catalog-info.yaml schema reference
• references/detection-patterns.md - Patterns for detecting service characteristics

Example Templates

• examples/catalog-info-template.yaml - Full template with all fields
• examples/catalog-info-gateway.yaml - Example gateway service
• examples/catalog-info-worker.yaml - Example worker service
• examples/catalog-info-library.yaml - Example shared library

Quality Checklist

Before finalizing metadata, verify:

• name is unique across the organization
• type correctly classifies the service
• domain and owner are filled (not auto-detected)
• dependsOn lists all upstream dependencies
• eventProducers and eventConsumers are complete
• Routes are documented if this is a gateway/service
• File is valid YAML
• File is at repository root (catalog-info.yaml)