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Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.\n\nTags: latest:1.0.0\n\nVersion history:\n\nv1.0.0 | 2026-03-06T23:43:46.935Z | auto\n\nSelf-Improving Agent skill v1.0.0 initial release\n\n- Introduces a self-improving agent system that analyzes conversation quality and optimizes response strategies.\n- Automatically evaluates conversation effectiveness and identifies improvement opportunities.\n- Features a learning log for recording insights and lessons learned.\n- Generates weekly improvement reports.\n- Provides flexible configuration and easy integration with memory management and personality modules.\n\nArchive index:\n\nArchive v1.0.0: 5 files, 5050 bytes\n\nFiles: self_improving.py (7088b), skill-card.md (2052b), SKILL.md (1781b), skill.yaml (212b), _meta.json (148b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: self-improving-agent\ndescription: Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.\nversion: \"1.0.0\"\nauthor: xiucheng\ntype: skill\ntags: [self-improvement, learning, optimization, reflection, growth]\nhomepage: https://github.com/xiucheng/self-improving-agent\nlicense: MIT\n---\n\n# Self-Improving Agent\n\nAn intelligent self-improvement system for OpenClaw agents that analyzes conversation quality and continuously optimizes performance.\n\n## Features\n\n- 📊 **Quality Analysis**: Evaluates conversation effectiveness\n- 🎯 **Improvement Tracking**: Identifies areas for enhancement\n- 📝 **Learning Log**: Records insights and lessons learned\n- 📈 **Weekly Reports**: Generates improvement summaries\n- 🔄 **Strategy Optimization**: Adapts response patterns over time\n\n## Installation\n\n```bash\nclawhub install self-improving-agent\n```\n\n## Usage\n\n### Automatic Analysis\nThe skill automatically analyzes conversations after each session.\n\n### Manual Improvement Logging\n```python\nfrom self_improving import SelfImprovingAgent\n\nsia = SelfImprovingAgent()\nsia.log_improvement(\"Need to be more concise in technical explanations\")\n```\n\n### Generate Weekly Report\n```python\nreport = sia.generate_weekly_report()\nprint(report)\n```\n\n## Configuration\n\n| Setting | Default | Description |\n|---------|---------|-------------|\n| improvement_log | ./improvement_log.md | Learning log file |\n| soul_file | ./SOUL.md | Personality anchor file |\n| auto_analyze | true | Auto-analyze conversations |\n\n## Integration\n\nWorks best with:\n- `memory-manager`: For tracking improvement history\n- Custom agent personalities (SOUL.md)\n\n## License\n\nMIT License - Help agents get better every day!\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn7c2cjr3n1gggfqy000zq5g898285x4\",\n  \"slug\": \"xiucheng-self-improving-agent\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1772840626935\n}\n\nFile v1.0.0:skill-card.md\n\n## Description:\n\nSelf-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[xiucheng](https://clawhub.ai/user/xiucheng)\n\n### License/Terms of Use:\n\nMIT\n\n## Use Case:\n\nDevelopers and agent operators use this skill to track conversation quality, record improvement insights, generate weekly progress reports, and suggest response-strategy updates for OpenClaw agents.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Conversation-quality logs and improvement insights may persist private prompts, customer data, credentials, or other sensitive content in the local workspace.\n\nMitigation: Do not log secrets or sensitive conversation content, and review where the OpenClaw workspace stores improvement_log.md before use.\n\nRisk: Automatic-analysis behavior may be unclear to users and operators.\n\nMitigation: Confirm when analysis runs, what content is analyzed, and whether automatic analysis is enabled before using the skill in shared or sensitive environments.\n\n## Reference(s):\n\n- [Project homepage](https://github.com/xiucheng/self-improving-agent)\n- [ClawHub skill page](https://clawhub.ai/xiucheng/skills/xiucheng-self-improving-agent)\n\n## Skill Output:\n\n**Output Type(s):** [Analysis, Text, Markdown, JSON, Guidance, Files]\n\n**Output Format:** [Text, Markdown reports, JSON-like analysis and statistics, and local Markdown log entries]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May append improvement insights to improvement_log.md in the configured OpenClaw workspace.]\n\n## Skill Version(s):\n\n1.0.0 (source: frontmatter, skill.yaml, release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nFile v1.0.0:skill.yaml\n\nname: self-improving-agent\ndescription: Self-improving agent system for continuous optimization\nversion: \"1.0.0\"\nauthor: xiucheng\ntype: skill\ntags:\n  - self-improvement\n  - learning\n  - optimization\nlicense: MIT","readmeExcerpt":"Skill: Self Improving Agent Owner: xiucheng Summary: Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies. Tags: latest:1.0.0 Version history: v1.0.0 | 2026-03-06T23:43:46.935Z | auto Self-Improving Agent skill v1.0.0 initial release - Introduces a self-improving agent system that analyzes conversation quality and optimize","codeSnippets":[],"executableExamples":[{"language":"bash","snippet":"clawhub install self-improving-agent"},{"language":"python","snippet":"from self_improving import SelfImprovingAgent\n\nsia = SelfImprovingAgent()\nsia.log_improvement(\"Need to be more concise in technical explanations\")"},{"language":"python","snippet":"report = sia.generate_weekly_report()\nprint(report)"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: self-improving-agent\ndescription: Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.\nversion: \"1.0.0\"\nauthor: xiucheng\ntype: skill\ntags: [self-improvement, learning, optimization, reflection, growth]\nhomepage: https://github.com/xiucheng/self-improving-agent\nlicense: MIT\n---\n\n# Self-Improving Agent\n\nAn intelligent self-improvement system for OpenClaw agents that analyzes conversation quality and continuously optimizes performance.\n\n## Features\n\n- 📊 **Quality Analysis**: Evaluates conversation effectiveness\n- 🎯 **Improvement Tracking**: Identifies areas for enhancement\n- 📝 **Learning Log**: Records insights and lessons learned\n- 📈 **Weekly Reports**: Generates improvement summaries\n- 🔄 **Strategy Optimization**: Adapts response patterns over time\n\n## Installation\n\n```bash\nclawhub install self-improving-agent\n```\n\n## Usage\n\n### Automatic Analysis\nThe skill automatically analyzes conversations after each session.\n\n### Manual Improvement Logging\n```python\nfrom self_improving import SelfImprovingAgent\n\nsia = SelfImprovingAgent()\nsia.log_improvement(\"Need to be more concise in technical explanations\")\n```\n\n### Generate Weekly Report\n```python\nreport = sia.generate_weekly_report()\nprint(report)\n```\n\n## Configuration\n\n| Setting | Default | Description |\n|---------|---------|-------------|\n| improvement_log | ./improvement_log.md | Learning log file |\n| soul_file | ./SOUL.md | Personality anchor file |\n| auto_analyze | true | Auto-analyze conversations |\n\n## Integration\n\nWorks best with:\n- `memory-manager`: For tracking improvement history\n- Custom agent personalities (SOUL.md)\n\n## License\n\nMIT License - Help agents get better every day!"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn7c2cjr3n1gggfqy000zq5g898285x4\",\n  \"slug\": \"xiucheng-self-improving-agent\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1772840626935\n}"},{"path":"skill-card.md","content":"## Description:\n\nSelf-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[xiucheng](https://clawhub.ai/user/xiucheng)\n\n### License/Terms of Use:\n\nMIT\n\n## Use Case:\n\nDevelopers and agent operators use this skill to track conversation quality, record improvement insights, generate weekly progress reports, and suggest response-strategy updates for OpenClaw agents.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: Conversation-quality logs and improvement insights may persist private prompts, customer data, credentials, or other sensitive content in the local workspace.\n\nMitigation: Do not log secrets or sensitive conversation content, and review where the OpenClaw workspace stores improvement_log.md before use.\n\nRisk: Automatic-analysis behavior may be unclear to users and operators.\n\nMitigation: Confirm when analysis runs, what content is analyzed, and whether automatic analysis is enabled before using the skill in shared or sensitive environments.\n\n## Reference(s):\n\n- [Project homepage](https://github.com/xiucheng/self-improving-agent)\n- [ClawHub skill page](https://clawhub.ai/xiucheng/skills/xiucheng-self-improving-agent)\n\n## Skill Output:\n\n**Output Type(s):** [Analysis, Text, Markdown, JSON, Guidance, Files]\n\n**Output Format:** [Text, Markdown reports, JSON-like analysis and statistics, and local Markdown log entries]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May append improvement insights to improvement_log.md in the configured OpenClaw workspace.]\n\n## Skill Version(s):\n\n1.0.0 (source: frontmatter, skill.yaml, release metadata)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment."},{"path":"skill.yaml","content":"name: self-improving-agent\ndescription: Self-improving agent system for continuous optimization\nversion: \"1.0.0\"\nauthor: xiucheng\ntype: skill\ntags:\n  - 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