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πŸ¦€ ClawHub

Self Improving Agent

by @xiucheng

Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.

Versionv1.0.0
Downloads42,863
Installs277
Stars⭐ 58
TERMINAL
clawhub install xiucheng-self-improving-agent

πŸ“– About This Skill


name: self-improving-agent description: Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies. version: "1.0.0" author: xiucheng type: skill tags: [self-improvement, learning, optimization, reflection, growth] homepage: https://github.com/xiucheng/self-improving-agent license: MIT

Self-Improving Agent

An intelligent self-improvement system for OpenClaw agents that analyzes conversation quality and continuously optimizes performance.

Features

  • πŸ“Š Quality Analysis: Evaluates conversation effectiveness
  • 🎯 Improvement Tracking: Identifies areas for enhancement
  • πŸ“ Learning Log: Records insights and lessons learned
  • πŸ“ˆ Weekly Reports: Generates improvement summaries
  • πŸ”„ Strategy Optimization: Adapts response patterns over time
  • Installation

    clawhub install self-improving-agent
    

    Usage

    Automatic Analysis

    The skill automatically analyzes conversations after each session.

    Manual Improvement Logging

    from self_improving import SelfImprovingAgent

    sia = SelfImprovingAgent() sia.log_improvement("Need to be more concise in technical explanations")

    Generate Weekly Report

    report = sia.generate_weekly_report()
    print(report)
    

    Configuration

    | Setting | Default | Description | |---------|---------|-------------| | improvement_log | ./improvement_log.md | Learning log file | | soul_file | ./SOUL.md | Personality anchor file | | auto_analyze | true | Auto-analyze conversations |

    Integration

    Works best with:

  • memory-manager: For tracking improvement history
  • Custom agent personalities (SOUL.md)
  • License

    MIT License - Help agents get better every day!

    πŸ’‘ Examples

    Automatic Analysis

    The skill automatically analyzes conversations after each session.

    Manual Improvement Logging

    from self_improving import SelfImprovingAgent

    sia = SelfImprovingAgent() sia.log_improvement("Need to be more concise in technical explanations")

    Generate Weekly Report

    report = sia.generate_weekly_report()
    print(report)
    

    βš™οΈ Configuration

    | Setting | Default | Description | |---------|---------|-------------| | improvement_log | ./improvement_log.md | Learning log file | | soul_file | ./SOUL.md | Personality anchor file | | auto_analyze | true | Auto-analyze conversations |