openclaw-guide — Codex Skill by liyupi

by liyupi · Codex Skill · ★ 149

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About openclaw-guide

OpenClaw 中文网 OpenClaw 开源 AI 智能体的中文文档与介绍站,帮助中文用户快速上手并深入使用 OpenClaw。 在线访问 · OpenClaw 主仓库 简介 OpenClaw 是一个开源、可自托管的个人 AI 智能体(AI Agent),可通过 WhatsApp、Telegram、Discord、飞书、钉钉、企业微信等 20+ 聊天平台与你交互,帮你处理清理收件箱、发送邮件、管理日历等日常任务。运行在你自己的设备上,数据完全私有。 本仓库是 OpenClaw 的 中文网站,包含: 首页(Landing Page):产品介绍、快速安装等 文档站:350+ 篇翻译文档,涵盖安装、渠道接入、模型配置、工具技能等全部内容 文档内容 本地开发 前置要求 Node.js 18+ npm 安装与启动 bash git clone https://github.com/liyupi/openclaw-guide.git cd openclaw-gui

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Quick Facts

Stars149
Forks24
LanguagePowerShell
CategoryCodex Skill
Quality Score42.11/100
Last Updated2026-04-15
Created2026-03-12
Platformsclaude-code, cli, docker
Est. Tokens~929k

Compatible Skills

These tools work well together with openclaw-guide for enhanced workflows:

  • awesome-openclaw — semantic(0.21)+complementary+shared_fw(anthropic,ollama,openai)+similar_pop (62%)
  • Claude-to-IM — semantic(0.15)+complementary+shared_fw(anthropic)+similar_pop+shared_platform (53%)
  • CoWork-OS — semantic(0.23)+complementary+shared_fw(ollama)+similar_pop+shared_platform (51%)
  • MCP-X-web — semantic(0.20)+complementary+rare_topics+similar_pop+shared_platform (51%)

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Frequently Asked Questions

What is openclaw-guide?

openclaw-guide is 开源OpenClaw中文文档站,OpenClaw中文指南,支持小龙虾 AI 智能体安装部署、消息渠道接入、Agent 架构、Skills 技能配置、模型提供商、CLI 命令参考、网关运维、安全沙箱等全方位文档。覆盖 WhatsApp、Telegram、Discord、飞书、钉钉、企业微信等 20+ 聊天平台,OpenAI、Anthropic、Ollama、通义千问等 30+ LLM 提供商,Doc. It is categorized as a Codex Skill with 149 GitHub stars.

What programming language is openclaw-guide written in?

openclaw-guide is primarily written in PowerShell. It covers topics such as agents, ai, claude.

How do I install or use openclaw-guide?

You can find installation instructions and usage details in the openclaw-guide GitHub repository at github.com/liyupi/openclaw-guide. The project has 149 stars and 24 forks, indicating an active community.

What are the best alternatives to openclaw-guide?

The top alternatives to openclaw-guide on Agent Skills Hub include llmio, MCP-X-web, the-pair. 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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