A specialized tool for running lightweight self-audits and safe configuration improvements to ensure AI agent reliability.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install self-improver-lite-ai
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install self-improver-lite-ai using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Self Improver Lite is a robust diagnostic and optimization skill designed to maintain the health of your AI ecosystem. It focuses on identifying repeated failure patterns, such as rate limits or timeouts, and proposing non-destructive enhancements to the system configuration. By leveraging Openclaw Skills, this tool bridges the gap between manual troubleshooting and risky autonomous changes, ensuring your bot remains stable without human intervention for routine maintenance.
This skill is particularly effective for developers who need to track behavior changes over time and implement safe, reversible fixes. It prioritizes system uptime and clear causality, making it an essential component for any professional Openclaw Skills deployment.
To integrate this capability into your environment, ensure your service manager is accessible and run the audit sequence. Use the following commands to check status:
systemctl is-active openclaw-gateway ollama
journalctl -u openclaw-gateway -n 120 --no-pager
Ensure that the Openclaw Skills framework has the necessary permissions to read logs and restart the gateway service.
Self Improver Lite organizes its audit data and tracking metrics using a structured Markdown template to ensure clarity and historical tracking.
| Data Point | Description | Format |
|---|---|---|
| Audit Period | The specific date range covered by the self-audit | Date String |
| Error Logs | Patterns and counts of specific failure codes | List |
| Applied Changes | Record of automated fixes implemented during the cycle | Unordered List |
| Performance Impact | Before vs. After metrics for latency and failure rates | Comparison Table |
| Next Actions | High-priority recommendations for manual intervention | Text |
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