self-improvement-testCaptures 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 lintqiu/self-improvement-testGrade 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 16, 2026 · audit v1.0
Generated May 19, 2026
A deployment pipeline fails due to an unexpected environment variable change. The skill logs the error with full context and directs a follow-up agent to fix the configuration, preventing future failures.
A support agent gives incorrect product advice; the user corrects them. The correction is logged as a learning, and the knowledge base is updated to ensure accurate future responses.
A user requests a multi-currency wallet feature that doesn't exist. The skill logs it as a feature request, which the product team later prioritizes and implements.
A third-party shipping API returns errors due to a deprecation. The skill logs the error with integration details, and the team updates the integration to use the new endpoint.
Provide the self-improvement skill as a subscription service for AI agents. Continuous learning improves agent performance, reducing support costs and increasing accuracy.
License the skill as an SDK for developers to embed into custom AI tools. Charged per deployment or via a revenue share on cost savings.
Offer consulting to integrate the skill into enterprise AI workflows, including customizing logging formats and promotion strategies.
💬 Integration Tip
Start by creating the .learnings directory and logging one real error or correction. Then review logs weekly to promote high-value learnings to your workspace files.
Scored May 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。
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...