self-improving-agent-3-0-5Captures 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 mutsunico/self-improving-agent-3-0-5Grade Good — 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 Apr 7, 2026
A development team uses the skill to log coding errors and user corrections during debugging sessions, enabling continuous improvement of their codebase and documentation. They review learnings before major feature releases to avoid recurring issues.
An AI-powered customer support agent logs failed API calls and user feedback on incorrect responses, using the skill to refine its knowledge base and improve accuracy over time. This helps reduce support tickets and enhance user satisfaction.
Researchers employ the skill to capture errors in data processing scripts and note better analytical approaches discovered during experiments, promoting reproducibility and efficiency in scientific workflows. Learnings are promoted to project guidelines for team consistency.
A DevOps team logs infrastructure failures and tool integration gotchas, using the skill to harden deployment pipelines and share best practices across sessions via OpenClaw's inter-session tools. This reduces downtime and improves system reliability.
A content generation AI logs user corrections on factual inaccuracies and requests for missing features like style adjustments, enabling iterative improvement of output quality and alignment with brand guidelines. Broad learnings are promoted to behavioral files.
Integrate the skill as a premium feature in AI development platforms, charging subscription fees for enhanced self-improvement capabilities and analytics. Revenue comes from tiered plans based on usage volume and promotion features.
Offer consulting to organizations for customizing and deploying the skill in their AI workflows, with revenue from one-time setup fees and ongoing support contracts. Focus on industries like tech and customer service for tailored solutions.
Distribute the skill as open-source software while monetizing through enterprise support, training, and advanced features like automated learning promotion. Revenue streams include support licenses and custom development projects.
💬 Integration Tip
Start by creating the .learnings directory and basic log files in your project, then integrate reminders into agent files like CLAUDE.md for consistent usage without complex setup.
Scored Apr 19, 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.
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....
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, ex...
九章技能进化系统CLI工具 - 自动收集技能使用数据、分析进化需求、生成周报并上报。用于技能自我进化闭环的数据飞轮基础设施。