self-improving-x捕获学习成果、错误和纠正，以实现持续改进，当出现以下情况，使用本技能： (1) 命令或操作意外失败， (2) 用户纠正 '不，那是错的...'，'实际上...'）， (3) 用户请求不存在的功能， (4) 外部 API 或工具失败， (5) 意识到其知识已过时或不正确， (6) 发现更好的方法处理重复任务。在执行...
Install via ClawdBot CLI:
clawdbot install seepine/self-improving-xGrade 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/seepine/self-improvingAudited Apr 16, 2026 · audit v1.0
Generated May 11, 2026
A smart home AI agent logs command failures (e.g., turning off lights incorrectly) to .learnings/ERRORS.md and recalls past fixes to avoid repeating mistakes, enhancing reliability in home automation.
When a user corrects a chatbot on company policy, the agent records the correction in .learnings/LEARNINGS.md and applies the knowledge to all future interactions, improving compliance and accuracy.
A developer requests a new code snippet functionality; the agent logs it in .learnings/FEATURE_REQUESTS.md, which is later reviewed to prioritize feature development based on user demand.
An AI agent integrating with external weather API logs failures in .learnings/ERRORS.md, analyzes patterns to switch to a backup API, ensuring uninterrupted service in a weather app.
When an AI tutor realizes its historical facts are outdated, it records the correction in .learnings/LEARNINGS.md and updates its responses, providing accurate teaching to students.
Offer a monthly subscription for AI agents that continuously improve through self-learning, reducing manual maintenance for clients. Revenue from recurring subscriptions.
Provide customized self-improving AI agents for enterprise clients, including setup, integration, and ongoing optimization. Revenue from consulting fees and implementation services.
Create a platform where anonymized learning records (errors, corrections, feature requests) are shared to improve AI agents across industries. Revenue from data licensing and marketplace subscriptions.
💬 Integration Tip
Start by creating the .learnings directory and initial markdown files from the assets template. Integrate logging hooks into your agent's main execution loop to capture errors and corrections automatically.
Scored May 11, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
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