SDLC Workflow Skills
Skills that implement ASDLC workflows. Works in any Agent Skills–compatible environment (Claude, Codex, Cursor, etc.) with MCP tools for Jira, GitHub and more.
What This Is¶
SDLC Workflow Skills provides skills in Agent Skills format that implement ASDLC workflows. They work across teams and projects in any environment that supports Agent Skills (Cursor IDE is the primary tested environment).
Built on:
- Agent Skills – Markdown instructions with frontmatter (Cursor and other compatible environments)
- MCP (Model Context Protocol) – Connects to Jira, GitHub
- ASDLC – Principles for industrial-grade agentic software development
How It Works¶
graph LR
A[You] -->|/skill| B[AI Agent]
B -->|invokes| C[MCP Tools]
C --> D[Jira]
C --> F[GitHub]
C --> G[Filesystem]
Flow:
- You invoke a skill (e.g.
/start-task PROJ-123) - Your AI agent reads the skill (markdown instruction file)
- AI invokes MCP tools to interact with:
- Jira - Issue tracking and project management
- GitHub - Repository and pull requests
- Filesystem - Plans and code
- AI executes contextually based on your project
Result: Consistent operations regardless of project, tech stack, or team.
Getting Started¶
1. Setup MCP Connections¶
Connect your IDE or agent to your services (Jira, GitHub, filesystem). In Cursor: Settings → Features → Model Context Protocol.
2. Install Skills¶
Recommended: npx skills add fancy-bread/sdlc-workflow-skills -a cursor (choose Copy for Cursor). Or copy into your environment’s skills directory (e.g. Cursor: ~/.cursor/skills/ or .cursor/skills/). See Getting Started.
3. Start Using¶
Invoke your first skill: /start-task PROJ-123
Learn More¶
- Skills Reference - All skills with previews
- How It Works - Core principles
- Setup Instructions - Detailed configuration