搜索

PythonReactSEOPDF
GitHub Skill

auto-tdd-executor

Combines Ralph Wiggum loops with structured feature plans for automated TDD-driven development. Creates phase-based plans with quality gates, then executes each phase using Ralph loops with Beads for persistent state tracking. Includes E2E testing with Playwright agents. Use for automated overnight development, complex feature implementation, or when you want AI to iterate until tests pass.

Henry229☆ 0 仓库 Stars0 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

功能与用途

Combines Ralph Wiggum loops with structured feature plans for automated TDD-driven development. Creates phase-based plans with quality gates, then executes each phase using Ralph loops with Beads for persistent state tracking. Includes E2E testing with Playwright agents. Use for automated overnight development, complex feature implementation, or when you want AI to iterate until tests pass.

快速开始

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

使用指南 ↗

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-01-26
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

GitHub ↗

chat Comments (0)

chat_bubble_outline

No comments yet. Be the first to share your thoughts!