This repository is a comprehensive, Jekyll-based static site serving as the official tutorial for OpenClaw, an open-source AI agent gateway. It provides a structured, multi-chapter guide (15 chapters + 15 appendices) covering installation, configuration, multi-platform integration (Feishu, WeChat, DingTalk, etc.), automation, and practical use cases for building AI agents. The site includes a polished UX with dark/light mode, scroll-spy navigation, reading progress bar, and a full-text search index. Beyond documentation, the repo contains a substantial collection of automation scripts (markdown-to-docx conversion, image uploading, CSDN auto-publishing, formatting fixes), example skills (JavaScript templates for custom skills), configuration templates (multi-agent, multi-model, Feishu integration), and GitHub Actions for CI/CD (Jekyll build, issue processing, content sync). The repository is actively maintained, with a clear version baseline (v2026.6.8) and frequent updates. While primarily a documentation project, the inclusion of reusable scripts, skill templates, and a well-crafted Jekyll layout makes it valuable for developers building similar documentation sites or OpenClaw-adjacent tools. The hybrid nature is evident: it serves as both a reference manual and a toolkit of reusable components for the OpenClaw ecosystem.
This repository is a curated collection of Claude skillsβmarkdown instructions and supporting scripts that enable Claude (or any MCP-compatible agent) to perform a wide range of tasks, from document manipulation (DOCX, PPTX, PDF, XLSX) and GIF animation to web testing, MCP server building, and automation of hundreds of third-party SaaS services via Composio's Rube MCP. The repo is primarily a skill library with a standardized template for each skill, but it also contains several well-crafted Python libraries (e.g., easing functions, particle systems, OOXML validation frameworks) that are genuinely reusable. The architecture is modular: each skill lives in its own directory with a SKILL.md and optional scripts. The heavy reliance on external services (Composio, Rube MCP) and the massive duplication of templated skill documentation introduce maintenance risks, but the core utility scripts demonstrate solid engineering craftsmanship.