unified-self-improving

What This Skill Does

The Unified Self-Improving skill is a powerful, integrated cognitive architecture designed for the OpenClaw AI agent. It fuses the core strengths of three distinct legacy modules—self-improving-agent, self-improving, and mulch—into a single, high-performance ecosystem. This tool facilitates recursive learning by capturing user corrections, identifying recurring patterns, and maintaining structured logs. It utilizes a sophisticated three-tier storage system (HOT, WARM, and COLD) to optimize memory access, ensuring that high-priority learnings are immediately available for current tasks while historical data is archived efficiently. By leveraging JSONL for storage, the system achieves a 54% reduction in token overhead, maximizing the agent's context window efficiency during complex problem-solving sessions.

Installation

You can install this skill directly via the OpenClaw CLI by executing the following command in your terminal: clawhub install openclaw/skills/skills/421zuoduan/unified-self-improving

Use Cases

• Automating personal project preferences: The system learns specific coding styles or architectural patterns across different namespaces, reducing manual configuration.
• Long-term error reduction: By recording errors as 'high' priority, the agent automatically prioritizes avoiding these pitfalls in future interactions.
• Large-scale knowledge management: Utilize the JSONL storage for deep-archiving project learnings that can be recalled during complex system debugging.
• Multi-project context switching: Use namespaces to isolate learnings for distinct clients or repositories, ensuring no cross-contamination of domain-specific knowledge.

Example Prompts

1. "Unified-self-improving, record a new correction: stop using double quotes for shell commands in this directory as it triggers an error."
2. "Search my logs for any patterns related to 'deployment' in the 'prod-service' namespace."
3. "Run a pattern detection scan to see if I've made the same database schema error more than three times recently."

Tips & Limitations

• Tip: Always run unified-self-improving session end before closing your workspace to ensure all temporary logs are safely committed to the HOT memory layer and indexed.
• Tip: Use the --level flag during queries to narrow down search results if you have an extensive history in the COLD archive.
• Limitation: The automatic upgrade mechanism depends on session counts. Ensure you are starting and ending sessions properly to facilitate the transition of knowledge from HOT to WARM storage. Large-scale data imports may take a moment to index; verify status with index rebuild if searches return empty results unexpectedly.