leo-claude-mktplace/plugins/projman/skills/label-taxonomy/labels-reference.md

name, description

name	description
label-taxonomy	Dynamic reference for Gitea label taxonomy (organization + repository labels)

Label Taxonomy Reference

Status: ✅ Synced with Gitea Last synced: 2025-11-21 (via automated testing) Source: Gitea (personal-projects/leo-claude-mktplace)

Overview

This skill provides the current label taxonomy used for issue classification in Gitea. Labels are fetched dynamically from Gitea and should never be hardcoded.

Current Taxonomy: 47 labels (31 organization + 16 repository)

Organization Labels (31)

Organization-level labels are shared across all repositories in your configured organization.

Agent (2)

• Agent/Human (#0052cc) - Work performed by human developers
• Agent/Claude (#6554c0) - Work performed by Claude Code or AI assistants

Complexity (3)

• Complexity/Simple (#c2e0c6) - Straightforward tasks requiring minimal analysis
• Complexity/Medium (#fff4ce) - Moderate complexity with some architectural decisions
• Complexity/Complex (#ffbdad) - High complexity requiring significant planning and analysis

Efforts (5)

• Efforts/XS (#c2e0c6) - Extra small effort (< 2 hours)
• Efforts/S (#d4f1d4) - Small effort (2-4 hours)
• Efforts/M (#fff4ce) - Medium effort (4-8 hours / 1 day)
• Efforts/L (#ffe0b2) - Large effort (1-3 days)
• Efforts/XL (#ffbdad) - Extra large effort (> 3 days)

Priority (4)

• Priority/Low (#d4e157) - Nice to have, can wait
• Priority/Medium (#ffeb3b) - Should be done this sprint
• Priority/High (#ff9800) - Important, do soon
• Priority/Critical (#f44336) - Urgent, blocking other work

Risk (3)

• Risk/Low (#c2e0c6) - Low risk of issues or impact
• Risk/Medium (#fff4ce) - Moderate risk, proceed with caution
• Risk/High (#ffbdad) - High risk, needs careful planning and testing

Source (4)

• Source/Development (#7cb342) - Issue discovered during development
• Source/Staging (#ffb300) - Issue found in staging environment
• Source/Production (#e53935) - Issue found in production
• Source/Customer (#ab47bc) - Issue reported by customer

Type (6)

• Type/Bug (#d73a4a) - Bug fixes and error corrections
• Type/Feature (#0075ca) - New features and enhancements
• Type/Refactor (#fbca04) - Code restructuring and architectural changes
• Type/Documentation (#0e8a16) - Documentation updates and improvements
• Type/Test (#1d76db) - Testing-related work (unit, integration, e2e)
• Type/Chore (#fef2c0) - Maintenance, tooling, dependencies, build tasks

Status (4)

• Status/In-Progress (#0052cc) - Work is actively being done on this issue
• Status/Blocked (#ff5630) - Blocked by external dependency or issue
• Status/Failed (#de350b) - Implementation attempted but failed, needs investigation
• Status/Deferred (#6554c0) - Moved to a future sprint or backlog

Repository Labels (16)

Repository-level labels are specific to each project.

Component (9)

• Component/Backend (#5319e7) - Backend service code and business logic
• Component/Frontend (#1d76db) - User interface and client-side code
• Component/API (#0366d6) - API endpoints, contracts, and integration
• Component/Database (#006b75) - Database schemas, migrations, queries
• Component/Auth (#e99695) - Authentication and authorization
• Component/Deploy (#bfd4f2) - Deployment, infrastructure, DevOps
• Component/Testing (#f9d0c4) - Test infrastructure and frameworks
• Component/Docs (#c5def5) - Documentation and guides
• Component/Infra (#d4c5f9) - Infrastructure and system configuration

Tech (7)

• Tech/Python (#3572a5) - Python language and libraries
• Tech/JavaScript (#f1e05a) - JavaScript/Node.js code
• Tech/Docker (#384d54) - Docker containers and compose
• Tech/PostgreSQL (#336791) - PostgreSQL database
• Tech/Redis (#dc382d) - Redis cache and pub/sub
• Tech/Vue (#42b883) - Vue.js frontend framework
• Tech/FastAPI (#009688) - FastAPI backend framework

Label Suggestion Logic

When suggesting labels for issues, consider the following patterns:

Type Detection

Type/Bug:

• Keywords: "bug", "fix", "error", "crash", "broken", "incorrect", "fails"
• Context: Existing functionality not working as expected
• Example: "Fix authentication token expiration bug"

Type/Feature:

• Keywords: "add", "implement", "create", "new", "feature", "enhance"
• Context: New functionality being added
• Example: "Add password reset functionality"

Type/Refactor:

• Keywords: "refactor", "extract", "restructure", "reorganize", "clean up", "service extraction"
• Context: Improving code structure without changing behavior
• Example: "Extract Intuit Engine service from monolith"

Type/Documentation:

• Keywords: "document", "readme", "guide", "docs", "comments"
• Context: Documentation updates
• Example: "Update API documentation for new endpoints"

Type/Test:

• Keywords: "test", "testing", "coverage", "unit test", "integration test"
• Context: Testing infrastructure or test writing
• Example: "Add integration tests for authentication flow"

Type/Chore:

• Keywords: "update dependencies", "upgrade", "maintenance", "build", "ci/cd", "tooling"
• Context: Maintenance tasks that don't change functionality
• Example: "Update FastAPI to version 0.109"

Priority Detection

Priority/Critical:

• Keywords: "critical", "urgent", "blocking", "production down", "security"
• Context: Immediate action required
• Example: "Fix critical security vulnerability in auth system"

Priority/High:

• Keywords: "important", "high priority", "soon", "needed for release"
• Context: Important but not immediately blocking
• Example: "Implement user registration before launch"

Priority/Medium:

• Keywords: "should", "moderate", "this sprint"
• Context: Normal priority work
• Example: "Add email verification to registration"

Priority/Low:

• Keywords: "nice to have", "future", "low priority", "when time permits"
• Context: Can wait if needed
• Example: "Add dark mode theme option"

Component Detection

Component/Backend:

• Keywords: "backend", "api logic", "business logic", "service", "server"
• Example: "Implement JWT token generation service"

Component/Frontend:

• Keywords: "frontend", "ui", "user interface", "form", "page", "component", "vue"
• Example: "Create user registration form"

Component/API:

• Keywords: "api", "endpoint", "rest", "graphql", "request", "response"
• Example: "Build user login endpoint"

Component/Database:

• Keywords: "database", "schema", "migration", "query", "sql", "postgresql"
• Example: "Add users table migration"

Component/Auth:

• Keywords: "auth", "authentication", "authorization", "login", "token", "permission"
• Example: "Implement JWT authentication middleware"

Component/Deploy:

• Keywords: "deploy", "deployment", "docker", "infrastructure", "ci/cd", "production"
• Example: "Deploy authentication service to production"

Status Detection

Status/In-Progress:

• Applied when: Agent starts working on an issue
• Remove when: Work completes, fails, or is blocked
• Example: Orchestrator applies when dispatching task to executor

Status/Blocked:

• Applied when: Issue cannot proceed due to external dependency
• Context: Waiting for another issue, external service, or decision
• Example: "Blocked by #45 - need JWT service first"

Status/Failed:

• Applied when: Implementation was attempted but failed
• Context: Errors, permission issues, technical blockers
• Example: Agent hit permission errors and couldn't complete

Status/Deferred:

• Applied when: Work is moved to a future sprint
• Context: Scope reduction, reprioritization
• Example: "Moving to Sprint 5 due to scope constraints"

Tech Detection

Tech/Python:

• Keywords: "python", "fastapi", "pydantic"
• Example: "Implement Python JWT utility"

Tech/JavaScript:

• Keywords: "javascript", "js", "node", "npm"
• Example: "Add JavaScript form validation"

Tech/Vue:

• Keywords: "vue", "vuex", "vue router", "component"
• Example: "Create Vue login component"

Tech/Docker:

• Keywords: "docker", "dockerfile", "compose", "container"
• Example: "Update Docker compose configuration"

Tech/PostgreSQL:

• Keywords: "postgresql", "postgres", "pg", "database schema"
• Example: "Optimize PostgreSQL query performance"

Tech/Redis:

• Keywords: "redis", "cache", "session", "pubsub"
• Example: "Implement Redis session storage"

Multi-Label Suggestions

Most issues should have multiple labels from different categories:

Example 1: "Fix critical authentication bug in production API"

• Type/Bug (it's a bug fix)
• Priority/Critical (it's critical and in production)
• Component/Auth (authentication system)
• Component/API (API endpoint affected)
• Source/Production (found in production)
• Tech/Python (likely Python code)
• Tech/FastAPI (if using FastAPI)

Example 2: "Implement user registration with email verification"

• Type/Feature (new functionality)
• Priority/High (important for launch)
• Complexity/Medium (moderate complexity)
• Efforts/L (1-3 days work)
• Component/Backend (backend logic needed)
• Component/Frontend (registration form needed)
• Component/Auth (authentication related)
• Tech/Python (backend)
• Tech/Vue (frontend)

Example 3: "Extract Intuit Engine service from monolith"

• Type/Refactor (architectural change)
• Priority/High (important architectural work)
• Complexity/Complex (significant planning needed)
• Efforts/XL (more than 3 days)
• Risk/High (significant change)
• Component/Backend (backend restructuring)
• Component/API (new API boundaries)
• Tech/Python (Python service)
• Tech/Docker (new container needed)

Usage in Commands

This skill is loaded when agents need to suggest labels:

In /sprint-plan: The planner agent uses this reference along with suggest_labels MCP tool to recommend appropriate labels for newly created issues.

In /labels-sync: The command updates this file with the latest taxonomy from Gitea.

Keeping This Updated

IMPORTANT: Run /labels-sync to:

1. Fetch actual labels from Gitea
2. Update this reference file
3. Ensure suggestion logic matches current taxonomy

Update frequency:

• First time setup: Run /labels-sync immediately
• Regular updates: Monthly or when taxonomy changes
• Team notification: When new labels are added to Gitea

Dynamic Approach

Never hardcode labels in commands or agents. Always:

1. Fetch labels dynamically using get_labels MCP tool
2. Use suggest_labels for intelligent suggestions
3. Reference this skill for context and patterns
4. Update this file via /labels-sync when taxonomy changes

This ensures the plugin adapts to taxonomy evolution without code changes.