sdlc-ai-workflow
NewA comprehensive Claude Code plugin that automates the complete Software Development Lifecycle with 20 role-specific agents, 12 knowledge skills, and 8 commands, all guided by principles.
Summary
, Product Manager, Architect, Developer, QA) with 12 knowledge skills and 8 commands, all guided by built-in principles.
- It helps developers streamline planning, coding, testing, deployment, and maintenance by delegating tasks to specialized AI agents within Claude Code.
Install & Usage
mkdir -p .claude/skillsmkdir -p .claude/skills && curl -o .claude/skills/sdlc-ai-workflow.md https://raw.githubusercontent.com/saitarrun/sdlc-ai-workflow/main/SKILL.md/sdlc-ai-workflowUse Cases
Usage Examples
/sdlc-ai-workflow plan 'Build a user authentication system with OAuth2'
/sdlc-ai-workflow review --pr https://github.com/org/repo/pull/42
/sdlc-ai-workflow deploy --env staging --service payment-gateway
Security Audits
Frequently Asked Questions
What is sdlc-ai-workflow?
This skill automates the entire software development lifecycle by orchestrating 20 role-specific agents (e.g., Product Manager, Architect, Developer, QA) with 12 knowledge skills and 8 commands, all guided by built-in principles. It helps developers streamline planning, coding, testing, deployment, and maintenance by delegating tasks to specialized AI agents within Claude Code.
How to install sdlc-ai-workflow?
To install sdlc-ai-workflow: create the skills directory (mkdir -p .claude/skills), then run: mkdir -p .claude/skills && curl -o .claude/skills/sdlc-ai-workflow.md https://raw.githubusercontent.com/saitarrun/sdlc-ai-workflow/main/SKILL.md. Finally, /sdlc-ai-workflow in Claude Code.
What is sdlc-ai-workflow best for?
sdlc-ai-workflow is a skill categorized under General. It is designed for: agent, plugin. Created by saitarrun.
What can I use sdlc-ai-workflow for?
sdlc-ai-workflow is useful for: Generate a complete project plan with user stories, architecture, and sprint backlog for a new feature.; Automate code review and refactoring by invoking the Code Reviewer agent on a pull request.; Run end-to-end testing with the QA agent, including test case generation and execution.; Deploy a microservice to production using the DevOps agent with rollback and monitoring setup.; Create technical documentation and API specs by activating the Technical Writer agent.; Perform a security audit on the codebase using the Security Engineer agent..