by yeasy · Codex Skill · ★ 174
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English overview 《OpenClaw 入门到精通》 OpenClaw 是一款开源本地优先的个人 AI 助手系统，由 Peter Steinberger 创建。本书结合最佳实践，提供从入门到应用的全流程指南，并深度解构其底层的运行机制和实现原理。 本书特色 实战导向：从零到一搭建最小闭环，提供可直接复用的配置模板 机制剖析：深入解析 Gateway、Agent Loop、工具系统、会话与记忆等核心机制 生产就绪：聚焦可靠性、安全加固、运行监控与故障排查 目标读者与前置要求 目标读者：对 AI 智能体感兴趣的个人用户、AI 应用开发者、大模型落地工程师、系统架构师等。 前置基础：阅读本书需要了解基本的后端开发常识（如 Node.js 或 Python 基础），并对大语言模型 (LLM) 和 AI 智能体有初步概念。可参考 《零基础学 AI》 和 《智能体 AI 权威指南》 建立基础。 全书结构
| Stars | 174 |
| Forks | 33 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 61.8405821897689/100 |
| Open Issues | 3 |
| Last Updated | 2026-06-30 |
| Created | 2026-02-20 |
| Platforms | python |
| Est. Tokens | ~14k |
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openclaw_guide is OpenClaw 入门和实战，安装、使用、配置到实现原理 | OpenClaw Guide. It is categorized as a Codex Skill with 174 GitHub stars.
openclaw_guide is primarily written in Python. It covers topics such as book, learning, openclaw.
You can find installation instructions and usage details in the openclaw_guide GitHub repository at github.com/yeasy/openclaw_guide. The project has 174 stars and 33 forks, indicating an active community.
The top alternatives to openclaw_guide on Agent Skills Hub include membrane, membrane, ai-maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.