OpenClaw Guide
Purpose
Provide authoritative, up-to-date information about OpenClaw based on official documentation and source code. This skill ensures users receive accurate answers by consulting primary sources rather than relying on potentially outdated knowledge.
When to Use This Skill
- User asks about OpenClaw capabilities, features, or functionality
- User needs help with OpenClaw configuration or setup
- User has questions about OpenClaw architecture or components
- User requests troubleshooting guidance for OpenClaw issues
- User wants to understand OpenClaw best practices or workflows
- Any query related to OpenClaw that requires official documentation verification
Core Responsibilities
1. Official Documentation Lookup
- Always prioritize information from https://docs.openclaw.ai
- Search the official documentation for relevant sections
- Extract and present accurate, current information
- Cite specific documentation sections when possible
2. Source Code Verification
- Consult https://github.com/openclaw/openclaw for implementation details
- Verify feature availability and behavior against actual source code
- Check for recent changes or updates in the repository
- Reference specific files, commits, or branches when relevant
3. Information Synthesis and Presentation
- Analyze gathered information from official sources
- Present clear, concise, and actionable guidance
- Avoid speculation or assumptions beyond documented facts
- Acknowledge when information is not available in official sources
4. Response Quality Standards
- Accuracy: Only provide information verified from official sources
- Currency: Prioritize the most recent documentation and code
- Completeness: Cover all relevant aspects of the user's question
- Clarity: Present information in an understandable, well-structured format
Workflow Process
Step 1: Query Analysis
- Identify the specific OpenClaw topic or question
- Determine which official sources are most relevant (docs vs. source code)
- Plan the search strategy for efficient information retrieval
Step 2: Documentation Search
# Use web search to find relevant documentation pages
web_search "site:docs.openclaw.ai <topic>"
web_fetch "https://docs.openclaw.ai/<relevant-page>"
Step 3: Source Code Investigation (if needed)
# Search GitHub repository for implementation details
web_search "site:github.com/openclaw/openclaw <topic>"
# Or navigate specific repository sections
web_fetch "https://github.com/openclaw/openclaw/tree/main/<relevant-path>"
Step 4: Information Synthesis
- Cross-reference documentation and source code findings
- Resolve any discrepancies by prioritizing source code (most current)
- Organize information logically based on user's needs
- Prepare clear, actionable response
Step 5: Response Delivery
- Present verified information with appropriate context
- Include relevant links to official sources for user reference
- Offer practical examples or commands when applicable
- Acknowledge limitations if complete information is unavailable
Tool Usage Guidelines
Web Search Patterns
- For documentation:
site:docs.openclaw.ai - For source code:
site:github.com/openclaw/openclaw - For general OpenClaw info:
openclaw site:docs.openclaw.ai OR site:github.com/openclaw/openclaw
Web Fetch Best Practices
- Always fetch from official domains only
- Prefer documentation pages over blog posts or third-party sites
- When fetching GitHub pages, focus on README, docs, and source files
- Validate fetched content against multiple sources when possible
Common Query Categories
Configuration Questions
- Gateway setup and management
- Agent configuration and workspace setup
- Channel integration (Telegram, Discord, etc.)
- Security and permissions settings
Feature Questions
- Available skills and their capabilities
- CLI commands and usage patterns
- Automation and workflow capabilities
- Integration with external tools and services
Troubleshooting Questions
- Error message interpretation
- Common setup issues and solutions
- Performance optimization guidance
- Debugging and logging procedures
Architecture Questions
- Component relationships and data flow
- Security model and isolation boundaries
- Extensibility and customization options
- Deployment and scaling considerations
Quality Assurance
Verification Checklist
- [ ] Information sourced from official documentation or source code
- [ ] Links provided to original sources for user verification
- [ ] No speculation or assumptions beyond documented facts
- [ ] Response addresses the specific user question completely
- [ ] Technical accuracy verified against current implementation
Response Templates
When Documentation is Clear:
Based on the official OpenClaw documentation at [link]:
[Concise summary of relevant information]
For more details, see: [specific documentation section]
When Source Code Provides Better Insight:
According to the OpenClaw source code at [GitHub link]:
[Implementation details or behavior explanation]
This means that [practical implication for the user].
When Information is Limited:
I checked the official OpenClaw documentation and source code, but couldn't find specific information about [topic].
The closest relevant information I found is [related topic] at [link].
You may want to check the latest documentation directly or ask in the OpenClaw community.
Important Notes
- Always verify: Never assume knowledge about OpenClaw features without checking official sources
- Stay current: OpenClaw evolves rapidly; always check for the latest documentation
- Be precise: Provide exact commands, file paths, and configuration options when available
- Cite sources: Always include links to official documentation or source code
- Acknowledge limits: If official sources don't contain the answer, say so clearly
References
Primary Sources
- Official Documentation: https://docs.openclaw.ai
- Source Repository: https://github.com/openclaw/openclaw
- Community: https://discord.com/invite/clawd
Related Skills
github: For detailed GitHub repository operationsweb_search: For broader information gathering when neededclawhub: For skill-related queries and management