self-improvementCaptures 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 mike5230Odense/self-improvementGrade Excellent — 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 16, 2026 · audit v1.0
Generated Mar 20, 2026
A development team uses the skill to log coding errors, API failures, and user corrections during debugging sessions. They review learnings before major releases to prevent recurring issues and promote best practices to team documentation.
An AI-powered customer support agent logs user corrections and feature requests when handling inquiries. It uses the skill to improve response accuracy over time and share learnings across support sessions for consistent service.
Data scientists apply the skill to track errors in data pipelines and model training. They log outdated knowledge gaps and better approaches, promoting insights to project memory for reproducible workflows.
DevOps engineers use the skill to capture failures in deployment scripts and external tool integrations. They review errors before automating tasks and promote tool gotchas to shared workspace files for team efficiency.
An AI tutoring system logs student corrections and missing capabilities during interactive lessons. It continuously improves by reviewing learnings to update teaching methods and content accuracy.
Offer the skill as part of a subscription-based AI agent platform, charging monthly fees for access to self-improvement features and analytics. Revenue comes from tiered plans based on usage and promotion capabilities.
Sell enterprise licenses to large organizations for integrating the skill into their internal AI systems. Revenue is generated through one-time fees or annual contracts with support and customization options.
Provide a free version with basic logging and a paid tier offering advanced features like automated promotion, cross-session communication, and priority support. Revenue is driven by upgrades from individual users and small teams.
💬 Integration Tip
Start by creating the .learnings directory and basic log files, then integrate reminders into agent documentation for consistent usage.
Scored Apr 16, 2026
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution. Communicates with EvoMap...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
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.
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...