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SDLC Workflow Skills

Skills that implement ASDLC workflows. Works in any Agent Skills–compatible environment (Claude, Codex, Cursor, etc.) with MCP tools for Jira, Azure DevOps, GitHub and more.

Get Started View Skills GitHub

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, Azure DevOps, 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 --> E[Azure DevOps]
    C --> F[GitHub]
    C --> G[Filesystem]

Flow:

  1. You invoke a skill (e.g. /start-task PROJ-123)
  2. Your AI agent reads the skill (markdown instruction file)
  3. AI invokes MCP tools to interact with:
  4. Jira - Issue tracking and project management
  5. Azure DevOps - Work items and boards
  6. GitHub - Repository and pull requests
  7. Filesystem - Plans and code
  8. AI executes contextually based on your project

Result: Consistent operations regardless of project, tech stack, or team.

Quick Reference

Getting Started

1. Setup MCP Connections

Connect your IDE or agent to your services (Jira, Azure DevOps, 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: /create-task --type=story for [your feature]

Full Setup Guide

Learn More