AI AGENT SKILLS

Self Improving Agent

一个面向 Automation 场景的 Agent 技能。原始说明:Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.

SKILL.md

SKILL.md


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

  • 📊 Quality Analysis: Evaluates conversation effectiveness
  • 🎯 Improvement Tracking: Identifies areas for enhancement
  • 📝 Learning Log: Records insights and lessons learned
  • 📈 Weekly Reports: Generates improvement summaries
  • 🔄 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 |
|---------|---------|-------------|
| improvementlog | ./improvementlog.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!