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.
A battle-tested OpenClaw setup with pre-wired identity, memory architecture, security protocols, and automation. Skip weeks of trial and error — install this...
Global, namespaced learning memory for OpenClaw. Use when users correct output, set stable preferences, ask what was learned, ask for memory stats, or reques...
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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元技能(Meta-Skill)。为其他 skill 提供交互式定向进化与吞噬融合能力,配备三层回滚防护。 触发场景:(1) 用户说"进化/迭代/改进 [skill名]";(2) 用户说"吞噬/吸收 [skill名] 的能力"; (3) 用户说"skill进化/吞噬"等。两条平行路径:A.定向进化(按工具类型选方向...