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📊 公开数据一览

📦 榜单安装量340
⭐ GitHub Stars19(fork 6)
🗓️ 最近推送2026-07-27
🌱 项目创建2025-08-18
💻 语言 / LicensePython · 未标注
🐛 开放Issue2

📝 工具简介

基于spec驱动开发的agentic coding流程仓库,包含多个实用辅助文件。

📖 怎么用

先设置环境变量,在 shell 里执行 `export PERSONAL_PROJECTS=1` 标记当前为个人项目。想自动识别的话,在 `.zshrc` 里加一段判断逻辑,用 `case "$PWD/" in "$HOME/projects/personal/"*) export PERSONAL_PROJECTS=1 ;; esac` 就行,或者用 `personal_projects_guard()` 函数配合 `add-zsh-hook chpwd` 自动切换。配置好后运行 `./scripts/sync-claude.sh` 同步 Claude 配置。如果走 GitHub Actions,在 workflow 里加一步 `uses: ArjenSchwarz/agentic-coding/.github/actions/setup-claude@main` 就能自动配置。README 未说明具体使用步骤。

📋 迷你测评

一个基于spec驱动开发的agentic coding流程仓库。亮点是包含多个实用辅助文件,但简介没提具体功能,更像是一个待探索的工作流模板。

📄 README 要点

这个仓库分享了一套作者自己用的AI编程助手工作流程,核心是规范驱动开发,附带不少实用工具和命令。它支持跨平台,有GitHub Copilot的提示文件,还有能同时跑在GitHub和GitLab上的代码审查工具,以及能自动适配个人或工作电脑的同行评审功能。里面定义了好几个专用AI智能体,主要在Claude Code里用,比如有个同行评审验证器会调用Codex或Kiro的MCP智能体来帮忙把关,不过只在个人电脑上启用。适合那些用AI写代码、想建立更规范流程的开发者,照着这套框架能提升代码质量和协作效率。

查看英文原文
Agentic Coding process This repository contains my current process for working with agentic coding assistants. It's focused around spec driven development and has a number of helpful tools and commands. Feel free to use what you see here and/or propose improvements. The framework now includes cross platform support with GitHub Copilot prompt files, forge aware review tooling that runs on both GitHub and GitLab, peer review that adapts to whether you're on a personal or a work machine, and improved workflow management with the rune CLI integration. Agents The framework provides specialized AI agents for different aspects of development. These are defined for use in Claude Code, and not every tool supports sub agents like this. Some agents lean on external AI systems when available — peer review validator consults the Codex/Kiro MCP agents, but only on personal machines (see Personal vs. work projects); elsewhere it falls back to Claude subagents so no code leaves the machine. code simplifier Reviews code for complexity reduction and maintainability improvements design critic Provides critical review of design documents and architecture proposals (now using Sonnet model for improved efficiency) efficiency optimizer Analyzes code for performance optimization opportunities local review Sonnet powered local replacement for an automated CI review step. Forge aware: it detects GitHub or GitLab from the git remote and reviews the open change request (code quality, bugs, performance, security, test coverage, plus whatever the project's CLAUDE.md mandates), posting a single review comment instead of consuming private CI/Actions minutes. See Forge support peer review validator Validates decisions by obtaining at least two independent peer perspectives. On personal machines ( PERSONAL PROJECTS=1 ) it consults external AI systems (Codex, Kiro); otherwise it spawns Claude subagents with distinct lenses so the same balanced review runs without sending code off machine. See Persona

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数据来源:skills.sh 榜单 + GitHub 公开数据,非人工实测,仅供参考