bmalph — Claude Skill by LarsCowe

by LarsCowe · Claude Skill · ★ 389

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About bmalph

bmalph BMAD-METHOD planning + Ralph autonomous implementation, wired through platform-specific instructions, skills, and command indexes. What is bmalph? bmalph bundles and installs two AI development systems: BMAD-METHOD — Planning agents and workflows (Phases 1-3) Ralph — Autonomous implementation loop (Phase 4) bmalph provides: — Install both systems — Update to latest versions — Check installation health — Transition from BMAD to Ralph — Start Ralph loop with live dashboard — Check for upstream updates bma

ai-developmentbmadclaude-codecliralph

Quick Facts

Stars389
Forks43
LanguageTypeScript
CategoryClaude Skill
LicenseMIT
Quality Score57.356/100
Open Issues50
Last Updated2026-06-20
Created2026-01-23
Platformsclaude-code, cli, node
Est. Tokens~21k

bmalph alternative? Top 6 similar tools

Looking for a bmalph alternative? If you're comparing bmalph with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is bmalph?

bmalph is Unified AI Development Framework - BMAD phases with Ralph execution loop. It is categorized as a Claude Skill with 389 GitHub stars.

What programming language is bmalph written in?

bmalph is primarily written in TypeScript. It covers topics such as ai-development, bmad, claude-code.

How do I install or use bmalph?

You can find installation instructions and usage details in the bmalph GitHub repository at github.com/LarsCowe/bmalph. The project has 389 stars and 43 forks, indicating an active community.

What license does bmalph use?

bmalph is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to bmalph?

The top alternatives to bmalph on Agent Skills Hub include claude-code-bmad-skills, open-ralph-wiggum, pydantic-deepagents. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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