self-improvement

What This Skill Does

The self-improvement skill is a foundational capability for OpenClaw agents designed to transform fleeting interactions into persistent knowledge. By formalizing the way an agent tracks its mistakes, learns from corrections, and documents feature gaps, this skill turns your workspace into a compounding intelligence engine. It functions as a structured logging mechanism that keeps your development environment clean while ensuring that recurrent errors or inefficient patterns are addressed systematically rather than repeated. When integrated, the agent gains the ability to introspect on its performance, review historical data, and iteratively improve its outputs.

Installation

To begin using the self-improvement skill, you can use the OpenClaw management utility. Run clawdhub install self-improving-agent in your terminal to automatically configure the necessary directories. Alternatively, you can perform a manual setup by cloning the repository into your ~/.openclaw/skills/ directory. Ensure you have the ~/.openclaw/workspace/.learnings/ directory initialized, containing the LEARNINGS.md, ERRORS.md, and FEATURE_REQUESTS.md files, as these serve as the primary knowledge repository for the agent.

Use Cases

• Continuous Refinement: Log corrections when you have to fix Claude’s logic, ensuring the agent learns the nuance of your preferences or specific domain requirements.
• Error Tracking: Automatically catalog command failures or API timeouts, providing a trail of data for debugging persistent integration issues.
• Feature Planning: Capture requests for missing capabilities to build a product roadmap directly within your agent's workspace.
• Knowledge Management: Promote proven best practices from .learnings/ into SOUL.md or AGENTS.md to harden agent behavior over time.

Example Prompts

1. "I'm getting an error when running the build script, please log this to the error tracker so we can investigate the root cause."
2. "Actually, don't use that library for the parser; use the native implementation instead. Please add this as a 'best_practice' to our learnings."
3. "Review our .learnings file and tell me if we have recurring issues with the API connection that we should address today."

Tips & Limitations

This skill is most effective when used with strict discipline. Periodically pruning the ERRORS.md file is recommended to prevent log bloat. When promoting a learning to AGENTS.md or SOUL.md, ensure the entry is generic enough to be applied to future tasks. Note that this skill relies on the agent's ability to reliably read and write to the filesystem; ensure proper permissions are granted for the workspace directory.