Readme.skill — Claude Skill by study8677

by study8677 · Claude Skill · ★ 137

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About Readme.skill

Readme.skill 一份 Claude Code / Codex CLI 的 skill:自动生成对外可分享、脱敏的 AI-Native 开发者 README。 🌐 中文 (you are here) · English README 🎉 2026-05-08 入选:本项目登上 阮一峰《科技爱好者周刊》第 395 期「AI 相关」板块——感谢阮老师推荐!🙏 ↑ 这是 v2.4 在我自己电脑上跑出来的真实输出(149 天 · 19.4B token · 23.8× cache leverage · 1503★)。 点击图片查看完整 Markdown profile。 这是什么 Readme.skill 不是一个程序,而是一份给 AI agent 的指令集(即 )。当你在 Claude Code 或 Codex 里说出触发词(如「生成我的 AI 档案」),AI 会按照 SKILL.md 的步骤: 读取本机 、项目内 (如配置)与 的统计文件、SQLite、历史 JSONL 调用 拉取你的 GitHub 公开贡献日历与 top 仓库 在你的工作目录里跑只读 ,统计本地提交 计算 10 个维度(一览 / AI-Native / 基础设施 / 协作风格 / 项目 / 主题 / 节奏 / Token 经济学 / 投入×产出 / 进化曲线) 默认匿名脱敏,按提问语言输出 或 整个过程只读、不联网(除 ),可放心运行并对外分享结果。对话正文可被读取以提取关键词和协作风格信号,但原文不会写进报告。 快速开始 方式零:Claude Code Plugin(推荐 —— 两行命令) 在 Claude Code 里: Claude Code 自动发现 并挂载,无需手动 symlink。需要 Claude Code 支持 plugin 子系统的版本。 方式一:Clone + 软链(Codex CL

agentic-aiai-developer-toolsai-nativeclaude-codeclaude-code-pluginclaude-pluginclaude-skillcli-toolcodex-clicoding-stats

Quick Facts

Stars137
Forks7
CategoryClaude Skill
LicenseMIT
Quality Score63.379562877737/100
Open Issues2
Last Updated2026-06-10
Created2026-04-16
Platformsclaude-code, cli, codex
Est. Tokens~22k

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Frequently Asked Questions

What is Readme.skill?

Readme.skill is Turn your local Claude Code / Codex CLI history into a shareable, anonymized AI-Native developer profile + viral SVG poster. A skill, not a script — 100% local & read-only.. It is categorized as a Claude Skill with 137 GitHub stars.

How do I install or use Readme.skill?

You can find installation instructions and usage details in the Readme.skill GitHub repository at github.com/study8677/Readme.skill. The project has 137 stars and 7 forks, indicating an active community.

What license does Readme.skill use?

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

What are the best alternatives to Readme.skill?

The top alternatives to Readme.skill on Agent Skills Hub include skill-conductor, threadlens, openyak. 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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