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Skills Reference

SDLC workflow skills (Agent Skills format) for AI-assisted development.

The canonical skill definitions live in skills/ at the repo root (each skill is skills/<name>/SKILL.md). This documentation describes what each skill does. For full instruction content, see the repository skills/ folder. Skills are validated with python schemas/validate.py skills/<name>/SKILL.md (see schemas/README).

Quick Reference

Product

Command What It Does
/create-task Create tasks with specified type (epic, story, bug, task, etc.)
/decompose-task Decompose large tasks into well-defined subtasks

Planning

Command What It Does
/refine-task Refine tasks to meet Definition of Ready with clear acceptance criteria
/create-plan Create technical implementation design

Development

Command What It Does
/start-task Begin implementation with branch and context
/complete-task Commit, push, create PR

Quality

Command What It Does
/create-test Generate unit tests (adapts for backend/frontend)
/review-code AI-assisted code review

Utilities

Command What It Does
/mcp-status Check MCP server authentication status
/setup-asdlc Initialize repository for ASDLC adoption

How Skills Work

Skills are Agent Skills (markdown with frontmatter) that tell AI agents what to achieve. The AI reads your project structure, issue tracker, implementation plans, and team conventions, then executes contextually—same skill, different projects, intelligent adaptation.

Each skill aligns with specific ASDLC patterns and pillars (Factory Architecture, Standardized Parts, Quality Control); see Agentic SDLC section 5. Strategic Pillars for details.

See the full product flow →