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L-LesterYu
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self-improvement-zh

Log learnings, errors, and feature requests in structured Markdown files.

51|8|Updated Feb 24, 2026
Search Tags:#debugging#knowledge management#learning#error logging#continuous improvement#feature request
One-click install
npx skills add https://github.com/L-LesterYu/OpenClaw-hot-skills-zh --skill self-improvement-zh
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improvement-zh
Source: https://github.com/L-LesterYu/OpenClaw-hot-skills-zh/tree/main/skills/self-improvement-zh
Command: npx skills add https://github.com/L-LesterYu/OpenClaw-hot-skills-zh --skill self-improvement-zh

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you systematically record and manage learnings, errors, and feature requests, fostering continuous improvement and knowledge accumulation for AI agents and developers.

Core Features & Use Cases

  • Structured Logging: Record learnings, errors, and feature requests in standardized Markdown formats.
  • Continuous Improvement: Facilitates knowledge accumulation, pattern detection, and issue resolution.
  • Use Case: When an AI agent encounters an unexpected error during a command execution, it logs the error details, context, and a suggested fix to ERRORS.md. This log can be reviewed later to prevent recurrence or improve the agent's robustness.

Quick Start

Log a new learning by editing the LEARNINGS.md file in the .learnings directory.

Frequently Asked Questions about self-improvement-zh

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

FAQPage Schema
How do I log errors and learnings for continuous improvement in Markdown?▼

You log errors and learnings by recording details in structured Markdown files like ERRORS.md and LEARNINGS.md. This captures context and suggested fixes to prevent recurrence and accumulate knowledge for continuous improvement.

What is the best way to track command failures and knowledge gaps for AI agents?▼

Tracking command failures involves logging error details, context, and fixes in standardized Markdown files. This facilitates pattern detection and knowledge accumulation to improve AI agent robustness against knowledge gaps.

Can I promote recorded best practices to project memory files like AGENTS.md?▼

Yes, you can promote valuable insights and best practices to project memory files like AGENTS.md and SOUL.md. This elevates recorded learnings into persistent project guidelines for future reference.

How do I manage feature requests using structured logging?▼

You manage feature requests by recording user-requested capabilities in standardized Markdown formats. This organizes feature requests systematically alongside errors and learnings for structured project improvement.

Do I need any dependencies to start capturing learnings in Markdown files?▼

No dependencies are required to start capturing learnings. You simply edit the LEARNINGS.md file in the .learnings directory to begin recording corrections and best practices without external tools.

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