adityaCaptures 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 adityasagar2/adityaGrade 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 Mar 22, 2026
A development team uses the skill to log coding errors, API failures, and user corrections during agile sprints. It helps track recurring bugs and knowledge gaps, enabling continuous improvement in code quality and team efficiency by promoting learnings to project documentation like CLAUDE.md.
An AI-powered customer support agent employs the skill to record user corrections and feature requests from interactions. This data is used to refine response accuracy, update knowledge bases, and prioritize new capabilities, enhancing customer satisfaction and reducing resolution times.
DevOps engineers integrate the skill to log infrastructure failures, tool gotchas, and automation errors. By promoting best practices to TOOLS.md and AGENTS.md, they streamline deployment pipelines, harden security, and improve system reliability across cloud environments.
An AI tutoring system uses the skill to capture student corrections and knowledge gaps in real-time. This enables adaptive learning by updating teaching methods and content, ensuring the tutor stays current with curriculum changes and student needs.
A content agency applies the skill to log errors in AI-generated drafts and client feedback. By analyzing patterns in LEARNINGS.md, they refine writing guidelines, improve tone consistency, and speed up revision cycles for marketing materials.
Offer the skill as part of a premium AI agent platform with monthly subscriptions. Revenue comes from tiered plans based on usage limits, advanced analytics, and integration support, targeting enterprises seeking continuous AI optimization.
Provide consulting to implement and customize the skill for specific industries, such as tech or customer service. Revenue is generated through project-based fees, training workshops, and ongoing maintenance contracts for tailored improvement workflows.
Distribute the core skill as open source to build community adoption, while monetizing premium features like automated promotion tools, cross-session analytics, and enterprise support. Revenue streams include one-time licenses and annual support subscriptions.
💬 Integration Tip
Start by creating the .learnings directory and basic log files, then integrate reminders into agent files like AGENTS.md to ensure 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.
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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...
三件套闭环引擎 v2 — 女娲+达尔文+workflow-engine 自动联动。 4大安全机制：白名单排除/人工确认/任务验证/淘汰机制。
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