self-improving-agent-6Captures 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 smallersoup/self-improving-agent-6Grade 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 17, 2026 · audit v1.0
Generated May 10, 2026
A DevOps team using a CI/CD pipeline encounters intermittent build failures. The agent logs the error with full context (stack trace, environment variables) to .learnings/ERRORS.md, then analyzes and implements a fix. Over time, the pattern of failures is reduced by promoting the root cause to AGENTS.md for automatic pre-flight checks.
A startup with rapid hiring uses the skill to log common onboarding questions and corrections from senior engineers. Each correction is captured as a learning entry with category 'correction', and frequently asked topics are promoted to CLAUDE.md to serve as a living onboarding document, reducing repetitive questions.
A customer support chatbot logs feature requests (e.g., missing refund workflow) from user interactions into FEATURE_REQUESTS.md. The product team reviews these logs weekly to prioritize development. Important behavioral patterns are promoted to SOUL.md to refine the bot's tone and responses.
A fintech company integrating with third-party payment APIs experiences intermittent failures. The skill logs each timeout and error with integration details (endpoint, request payload) to ERRORS.md. After recurring failures, a rule is promoted to TOOLS.md to implement retry logic and circuit breakers, increasing uptime.
A team refactoring a monolith discovers a more efficient pattern for database queries. The lead developer logs this as a best practice learning. As the pattern is applied again, the recurrence count increments, and eventually it is promoted to AGENTS.md as a standard pattern for all microservices, reducing technical debt.
Offer a core AI agent subscription that includes self-improvement logging. A premium tier unlocks 'promotion to memory' where learnings are automatically surfaced in project files (CLAUDE.md, AGENTS.md) and across sessions via inter-session communication tools. Value: continuous improvement without manual curation.
Provide consulting to companies on implementing self-improvement skills for their AI agents. Package includes setup of log files, customization of promotion rules, and training for teams. Revenue from one-time setup fees plus ongoing maintenance contracts.
Integrate the skill into existing DevOps pipelines as a plugin. The platform automatically logs failures and corrections from CI/CD runs, developer IDEs, and production monitoring. Revenue from per-seat licensing with volume discounts.
💬 Integration Tip
Start by creating the .learnings directory (LEARNINGS.md, ERRORS.md, FEATURE_REQUESTS.md) in your agent's workspace. Then begin logging the first correction or error; overpromote key learnings to memory files for immediate impact.
Scored May 10, 2026
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.
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Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
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