Claude Code Bmad Skills — Development skill for Claude Code
BMAD Method skills for Claude Code - Auto-detection, Memory integration, Slash commands.
How to install Claude Code Bmad Skills
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open aj-geddes/claude-code-bmad-skills and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Claude Code Bmad Skills does
BMAD Method skills for Claude Code - Auto-detection, Memory integration, Slash commands. Transform Claude Code into a BMAD-powered development environment.
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README
BMAD Method v6 for Claude Code
[](https://smithery.ai/skills?ns=aj-geddes&utm_source=github&utm_medium=badge)
**Token-optimized agile development methodology natively integrated with Claude Code**
Transform Claude Code into a complete agile development environment with specialized agents, structured workflows, and intelligent context management.
[](LICENSE) [](#cross-platform-support) [](https://claude.ai/code)
Documentation Site, with examples.
https://aj-geddes.github.io/claude-code-bmad-skills
🎯 Attribution & Credit
BMAD Method™
The **BMAD Method** (Breakthrough Method for Agile AI-Driven Development) is created and maintained by the **BMAD Code Organization**.
**All credit for the BMAD methodology belongs to:**
- BMAD Code Organization: https://github.com/bmad-code-org
- Original BMAD Method: https://github.com/bmad-code-org/BMAD-METHOD
- Website: https://bmadcodes.com/bmad-method/
- YouTube: @BMadCode
- Discord Community: https://discord.gg/gk8jAdXWmj
**This repository** is an **implementation** of the BMAD Method specifically adapted for **Claude Code's native features** (Skills, Commands, Hooks, Memory, Files).
**The methodology, workflow patterns, agent roles, and all BMAD concepts are the intellectual property of the BMAD Code Organization.**
We have adapted and optimized the BMAD Method for:
- Token efficiency (70-85% optimization via helper pattern)
- Claude Code native integration (no external dependencies)
- Cross-platform support (Windows, Linux, macOS, WSL)
- Functional design (removed persona overhead for better performance)
**Please support the ori
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