Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only when acceptance criteria are 100% met.
npx playbooks add skill fstandhartinger/ralph-wiggum --skill ralph-wiggum
Ralph Wiggum is a testing tool that utilizes autonomous AI coding with spec-driven development, implementing Geoffrey Huntley's iterative bash loop methodology to work through specifications one at a time. It outputs a completion signal only when acceptance criteria are 100% met, ensuring that all requirements are fully satisfied. Developers would use Ralph Wiggum to thoroughly test their code and ensure it meets all specified requirements before considering it complete.
Its 33-word system prompt specializes your agent in testing & qa with structured methodology and proven output formats. Install with one command to activate immediately.
Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only when acceptance criteria are 100% met.
Ralph Wiggum is a free testing & qa skill for AI coding agents. Autonomous AI coding with spec-driven development. Implements Geoffrey Huntley's iterative bash loop methodology where agents work through specs one at a time, outputting a completion signal only when acceptance criteria are 100% met.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill fstandhartinger/ralph-wiggum --skill ralph-wiggum in your terminal to install Ralph Wiggum into your Claude Code session. It works immediately after installation.
Ralph Wiggum is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Ralph Wiggum is completely free and open source. The full source is available on GitHub at https://github.com/fstandhartinger/ralph-wiggum/tree/main/skills/ralph-wiggum. You only need a subscription to the AI agent you use it with.
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