labrai/skillcenter

GitHub上所有代理技能——一次安装。

综合 ·离线 ·一指令 ·跨平台

我们爬取了842个GitHub仓库、ClawHub、OpenClaw和10个很棒的列表——提取了每一个SKILL.md和[SOUL.md]——并将它们打包成一个可搜索索引。安装一次，即可访问所有索引。

总技能12.5万：

• 11,389个代理技能 — 来自842个仓库，涵盖.claude/、.cursor/、.agents/、.openclaw/、.codex/
• 90K研究技能 — 来自arXiv、PMC、PLOS、Nature、eLife
• 24K 技术技能 — 来自 GitHub、StackOverflow、网络资源

快速启动

可支持Claude代码、Cursor、OpenClaw、Codex以及任何--target路径。

搜索技能

在完整的125K指数中查找技能：

浏览与安装

安装前预览比赛：

现实世界的例子

这是真正安装技能的样子——docker-essentials，来自Pr-E/openclaw-master-skills：

该文件安装在.claude/skills/docker-essentials/SKILL.md中——Claude Code会自动拾取。

完整工作流程：建立新项目

浏览、选择并安装多个技能，时间不到一分钟：

We crawled 842 GitHub repos, ClawHub, OpenClaw, and 10 awesome lists — extracted every SKILL.md and SOUL.md — and packaged them into one searchable index. Install once, access all of them.

125K skills total:

• 11,389 agent skills — from 842 repos across .claude/, .cursor/, .agents/, .openclaw/, .codex/
• 90K research skills — from arXiv, PMC, PLOS, Nature, eLife
• 24K tech skills — from GitHub, StackOverflow, web sources

Quick Start

pip install clawskills-rai
clawskills bundle-install --domain claw     # one-time: download skill index
clawskills install docker-essentials        # search + install → .claude/skills/

Works with Claude Code, Cursor, OpenClaw, Codex, and any --target path.

Search Skills

Find skills across the full 125K index:

clawskills skill-search "kubernetes" --top 5
clawskills skill-search "CRISPR" --domain research --top 3

Browse & Install

Preview matches before installing:

clawskills install "react" --list          # browse matches
clawskills install "react" --pick 2        # install 2nd result
clawskills install coding-agent            # install best match directly

Real-World Example

Here’s what a real installed skill looks like — docker-essentials from Pr-E/openclaw-master-skills:

# Docker Essentials

Essential Docker commands for container and image management.

## Container Lifecycle
docker run -d --name web -p 8080:80 nginx     # run in background
docker exec -it web bash                       # attach to running container
docker stop web && docker rm web               # stop and remove

## Images