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1012Lonin
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self-improvement

Log learnings, errors, and corrections to .learnings with standardized metadata.

Updated Apr 5, 2026
Search Tags:#self-improvement#agents#promotion#memory-management#openclaw#learning-log#error-logging
One-click install
npx skills add https://github.com/1012Lonin/Yushufang --skill self-improvement-1012lonin
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improvement
Source: https://github.com/1012Lonin/Yushufang/tree/main/skills/self-improving-agent
Command: npx skills add https://github.com/1012Lonin/Yushufang --skill self-improvement-1012lonin

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Centralizes capture of learnings, corrections, and errors to drive continuous improvement across AI agents and OpenClaw workflows.

Core Features & Use Cases

  • Logs corrections, knowledge gaps, errors, and best practices to a structured learning repository.
  • Supports promotion of broadly applicable learnings to CLAUDE.md, AGENTS.md, or Copilot instructions.
  • Enables cross-session memory propagation by feeding insights into workspace files and agent memory.

Quick Start

Log a new learning entry after a task to capture what happened and how to improve.

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 corrections for continuous improvement?▼

To log AI agent errors and corrections for continuous improvement, capture failed operations and user corrections into a structured learning repository. Entries are saved to a .learnings directory with standardized metadata to enable cross-session memory propagation across OpenClaw workflows.

What is the best way to share learning logs across different AI coding agents?▼

The best way to share learning logs across different AI coding agents is promoting recurring insights to project memory files. Broadly applicable learnings are prepared for promotion to CLAUDE.md, AGENTS.md, or Copilot instructions to centralize knowledge.

When should I trigger a learning log entry for an AI workflow?▼

You should trigger a learning log entry for an AI workflow when a command or operation fails, a user corrects you, or a requested capability is missing. This captures what happened and how to improve future agent responses.

Does this logging mechanism work with OpenClaw workflows and Copilot instructions?▼

Yes, this logging mechanism works with OpenClaw workflows and Copilot instructions. It captures knowledge gaps and best practices, then feeds insights into workspace files and agent memory to enable cross-session memory propagation.

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