self-improvement

Log command failures, user corrections, and feature requests from AI agent interactions.

2|1|Updated May 30, 2025

Search Tags:#debugging #knowledge management #learning #error logging #continuous improvement #skill extraction

Ready to run

npx skills add https://github.com/lvzhengbin/AI-Prompts --skill self-improvement-lvzhengbin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: self-improvement
Source: https://github.com/lvzhengbin/AI-Prompts/tree/main/skills/self-improvement
Command: npx skills add https://github.com/lvzhengbin/AI-Prompts --skill self-improvement-lvzhengbin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and assets (resource) and references (resource) components.

What problem does it solve?

This Skill captures learnings, errors, and corrections to enable continuous improvement of AI agents and workflows, preventing recurring mistakes and enhancing knowledge.

Core Features & Use Cases

Error Logging: Records command failures, API errors, and unexpected behavior.
Learning Capture: Documents user corrections, knowledge gaps, and discovered best practices.
Feature Requests: Tracks user-identified missing capabilities.
Promotion: Facilitates promoting learnings to permanent project memory (CLAUDE.md, AGENTS.md) or extracting them as new skills.
Use Case: When an AI agent fails to execute a command correctly, this Skill logs the error, its context, and a suggested fix, allowing for future correction and preventing the same mistake.

Quick Start

Use the self-improvement skill to log a command failure with details about the error and context.

Frequently Asked Questions about self-improvement

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I log AI agent errors and user corrections for continuous improvement?▼

To log AI agent errors for continuous improvement, you can capture command failures, user corrections, and knowledge gaps during interactions. This skill records the error context and suggested fixes to prevent recurring mistakes and enhance agent knowledge management.

What is the best way to capture knowledge gaps and feature requests from AI interactions?▼

The best way to capture knowledge gaps and feature requests is by documenting user-identified missing capabilities and corrections during AI agent interactions. This structured logging facilitates continuous improvement and tracks discovered best practices for future reference.

How does promoting learnings to project memory work for AI agents?▼

Promoting learnings to project memory works by integrating captured insights into permanent files like CLAUDE.md or AGENTS.md. This elevates temporary error logs and best practices into persistent agent knowledge, ensuring continuous improvement across sessions.

Can I extract logged AI errors as reusable skills?▼

Yes, you can extract logged AI errors as reusable skills. The skill provides mechanisms to promote documented learnings, command failures, and best practices into either permanent project memory or new standalone skills for future workflows.

Why do I need structured error logging for AI workflow continuous improvement?▼

You need structured error logging to prevent recurring AI agent mistakes and manage knowledge effectively. By recording command failures, API errors, and their context, the system can apply suggested fixes and adapt behavior for continuous improvement.