my-testCaptures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Install via ClawdBot CLI:
clawdbot install luckyjin/my-testGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/peterskoett/self-improving-agent.gitAudited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
A development team uses the skill to log coding errors, API failures, and user corrections during project work. They review learnings before major deployments to prevent recurring issues and promote best practices to team documentation like CLAUDE.md for consistent coding standards.
An AI-powered customer support agent employs the skill to capture user corrections and feature requests when handling inquiries. It logs knowledge gaps and errors to improve response accuracy over time, promoting behavioral patterns to SOUL.md for better customer interactions.
A DevOps engineer integrates the skill to track infrastructure failures, tool gotchas, and automation errors. They log these to ERRORS.md and promote workflow improvements to AGENTS.md for optimizing deployment pipelines and reducing downtime in cloud environments.
A content agency uses the skill to log corrections from clients and discover better approaches for recurring tasks like SEO optimization. They capture learnings in LEARNINGS.md and promote broadly applicable insights to project memory for enhancing content quality and efficiency.
An AI tutoring system applies the skill to log student corrections and outdated knowledge in subjects like math or science. It reviews these learnings before sessions to provide accurate explanations, promoting best practices to TOOLS.md for improved educational tool integration.
Offer the skill as part of a subscription-based AI agent platform, where users pay monthly for continuous improvement features. Revenue comes from tiered plans based on usage limits, advanced analytics, and priority support for learning promotion and integration.
Provide consulting to businesses for custom integration of the skill into their AI workflows, including setup, training, and ongoing optimization. Revenue is generated through project-based fees and retainer contracts for maintenance and learning analysis.
Distribute the skill as open source to build a community, while monetizing through premium add-ons like advanced analytics dashboards, automated promotion tools, and enterprise support. Revenue streams include one-time purchases for enhanced features and support packages.
💬 Integration Tip
Start by creating the .learnings directory and basic log files in your project, then integrate reminders into agent files like AGENTS.md to ensure consistent usage without complex setups.
Scored Apr 19, 2026
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement
Structured improvement system for learnable skills (programming, design, languages, instruments). Use when tracking progress, identifying bottlenecks, or opt...
Analyze and improve OpenClaw agent skills by tracking usage, checking skill health, scanning code quality, and generating actionable improvement suggestions....
技能自进化引擎 (Skill Self-Evolution Engine) - 全球AI技能基础设施 从技能进化系统升级为技术底座，支持多平台、多技能协同进化。 实现技能间正向演化飞轮：引擎越厉害 -> 技能同步越厉害 -> 越用越进化。 使用场景: 1. 技能自进化引擎内核管理 2. 跨平台技能同步进化 3....