s1kasl-askdjnaCaptures 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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clawdbot install f1zzyw/s1kasl-askdjnaGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
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https://github.com/peterskoett/self-improving-agent.gitAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A team building web applications where developers frequently encounter API integration failures, outdated documentation, and user feedback on incorrect outputs. This skill helps log errors from failed commands, capture user corrections to improve accuracy, and document better approaches for recurring tasks like deployment or testing.
An AI agent handling customer inquiries that sometimes provides outdated information or fails to access external tools. This skill logs knowledge gaps when corrections occur, tracks feature requests for missing capabilities, and promotes learnings to behavioral guidelines to enhance response quality over time.
A data analysis project where models or data processing scripts fail unexpectedly, and team members discover more efficient methods. This skill records errors from tool failures, logs best practices for data handling, and simplifies recurring patterns like data cleaning to harden workflows.
Automating infrastructure deployment where commands fail due to configuration issues or external API outages. This skill captures errors with integration details, logs learnings from discovered better approaches, and promotes tool gotchas to shared documentation for team-wide improvement.
An AI tutor that occasionally gives incorrect answers or lacks features requested by students. This skill logs user corrections to refine knowledge, tracks feature requests for new teaching methods, and reviews learnings before major sessions to ensure up-to-date content delivery.
Offer this skill as part of a subscription-based AI agent platform, where teams pay monthly for continuous improvement features. Revenue comes from tiered plans based on usage, such as the number of logged learnings or integration with external tools like OpenClaw.
Provide implementation and training services to help organizations integrate this skill into their AI workflows. Revenue is generated through one-time setup fees and ongoing support contracts for optimizing learning logs and promotion to workspace files.
Release the core skill as open source to build community adoption, then monetize through premium add-ons like advanced analytics dashboards, automated promotion tools, or enterprise support for large-scale deployments in industries like tech or customer service.
💬 Integration Tip
Start by setting up the .learnings directory in your project and adding reminders to agent files like AGENTS.md; for deeper integration, use OpenClaw's workspace injection to automate logging across sessions.
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...
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...