ralph-wiggum 是做什么的?
基于规范驱动的自主AI编码,实现Geoffrey Huntley的迭代bash循环方法论,代理逐个处理规范,仅当验收标准100%满足时输出完成信号。
基于规范驱动的自主AI编码,实现Geoffrey Huntley的迭代bash循环方法论,代理逐个处理规范,仅当验收标准100%满足时输出完成信号。
fstandhartinger/ralph-wiggum是一个AI代理技能,它实现了“规范驱动开发”范式,源自Geoffrey Huntley的迭代bash循环方法论。该技能的核心在于让AI代理(如Claude Code等平台)按照优先队列逐个处理预定义的规范(specs),每个规范都包含明确的验收标准。代理在完成一个规范时,必须确保所有验收标准100%满足,否则不会输出完成信号,从而保证代码质量和工作完整性。它支持在命令行界面(CLI)中运行,通常与开发工具链集成,使开发者能够以高度结构化的方式引导AI完成复杂任务。该技能尤其适合需要严格遵循需求文档的自动化编码场景,可减少人工干预并提升交付可靠性。
npx skills add https://github.com/fstandhartinger/ralph-wiggum/tree/main/skills/ralph-wiggumInstalled? Explore more 生产力与协作 skills: steipete/gemini, steipete/gh-issues, steipete/skill-creator · View all 6 →
基于规范驱动的自主AI编码,实现Geoffrey Huntley的迭代bash循环方法论,代理逐个处理规范,仅当验收标准100%满足时输出完成信号。
Gemini CLI one-shot prompts, summaries, generation, skills, hooks, MCP, or Gemma routing.
Fetch GitHub issues, select candidates, spawn background fix agents, open PRs, and optionally process PR review comments.
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Delegate coding work to Codex, Claude Code, or OpenCode as background workers; not simple edits or read-only code lookup.
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