Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A searchable database of documented agent failures, root causes, fixes, and lessons learned. Covers categories like API failures, auth expiry, rate limits, silent failures, and more. Also supports contributing new post-mortems via GitHub PR.
Surfaces structured, community-verified fixes for specific agent failure patterns faster than searching general forums or documentation.
When to use it
- Looking up known fixes when a Puppeteer automation script suddenly breaks
- Finding solutions before manually debugging an OpenAI rate limit error
- Submitting a post-mortem after resolving a tricky auth token expiry bug
- Browsing recent community submissions to anticipate common failure patterns
- Searching by error category to narrow down root causes across past incidents
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: 'Find known fixes for OpenAI API rate limiting'
- 1Run search-registry.sh with --category rate_limit and --tag openai
- 2Parse returned post-mortems for root cause and fix fields
- 3Surface matching entries with summaries, applied fixes, and prevention steps
List of documented rate limit failures with confirmed fixes and prevention strategies
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.