Claude Code Bmad Skills banner
aj-geddes aj-geddes

Claude Code Bmad Skills

Development community

Description

BMAD Method skills for Claude Code - Auto-detection, Memory integration, Slash commands. Transform Claude Code into a BMAD-powered development environment.

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

BMAD Method v6 for Claude Code

[![Run in Smithery](https://smithery.ai/badge/skills/aj-geddes)](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: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE) [![Platform](https://img.shields.io/badge/Platform-Windows%20%7C%20Linux%20%7C%20macOS%20%7C%20WSL-green.svg)](#cross-platform-support) [![Claude Code](https://img.shields.io/badge/Claude%20Code-Native-orange.svg)](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:**

**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