
Openclaw Expert
This pulls fresh documentation from OpenClaw's official docs and GitHub repo whenever you ask a question, then synthesizes actual answers with source links. It's built around the reality that framework docs change constantly, so instead of relying on stale knowledge, it fetches the current pages for installation, API usage, configuration, or whatever you're asking about. The workflow categorizes your question, grabs the right docs pages, and formats responses with code examples and URLs. Useful when you're working with OpenClaw and need accurate answers that cite their sources rather than hallucinated guesses about how something works.
- skills.sh installs
- 137
- GitHub stars
- 1
- last updated
- Aug 21, 2026
Install
$ npx -y skills add fanthus/agent-skills --skill openclaw-expert --agent claude-codeInstalls into .claude/skills of the current project.
Files
OpenClaw Learning Expert
This skill helps answer questions about OpenClaw by retrieving information from official documentation and the GitHub repository, then providing comprehensive answers with source links.
Workflow
When the user asks an OpenClaw-related question:
Step 1: Identify the Question Type
Categorize the question to determine the best sources:
- Getting Started/Installation → Documentation:
/start/getting-started - Concepts/Architecture → Documentation:
/concepts/sections - API Usage → Documentation:
/api/+ GitHub examples - Configuration → Documentation:
/guides/configuration - Troubleshooting → GitHub Issues + Documentation
- Examples/Implementations → GitHub
/examplesdirectory - Advanced/Source Code → GitHub repository source code
Step 2: Fetch Relevant Documentation
Use web_fetch tool to retrieve content from:
- Primary source: Official documentation at https://docs.openclaw.ai/
- Start with the most relevant documentation page based on the question type
- Common pages:
/start/getting-started,/concepts/,/api/,/guides/
Sponsors
Details
- Repository
- github.com/fanthus/agent-skills
- Categories
- Backend & APIs, Git & Pull Requests, Documentation, AI & Agent Building, Debugging
- First seen
- Jun 3, 2026