self-improvement

Capture and organize learnings, errors, and corrections into markdown files.

Updated Apr 14, 2026

Search Tags:#workflow #learning #memory #errors #promotion #log #openclaw

Ready to run

npx skills add https://github.com/Kitsune-Den/skulk-skills --skill self-improvement-kitsune-den

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: self-improvement
Source: https://github.com/Kitsune-Den/skulk-skills/tree/main/skills/self-improving-agent
Command: npx skills add https://github.com/Kitsune-Den/skulk-skills --skill self-improvement-kitsune-den

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill captures learnings, errors, and corrections to enable continuous improvement across development sessions.

Core Features & Use Cases

Logs learnings to the dedicated .learnings/ subfiles (LEARNINGS.md, ERRORS.md, and FEATURE_REQUESTS.md)
Supports promotion by extracting reusable insights to CLAUDE.md, AGENTS.md, or copilot-instructions.md
Integrates with OpenClaw hooks for automated prompts and cross-session sharing

Quick Start

Log a learning entry after a task completes to .learnings/LEARNINGS.md and related files.

Frequently Asked Questions about self-improvement

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

FAQPage Schema

How do I log development errors and corrections across coding sessions?▼

To log development errors across sessions, this skill captures corrections and failures into dedicated markdown files like ERRORS.md and LEARNINGS.md. It automatically organizes recurring patterns to enable continuous improvement in your workflows.

What is continuous improvement logging for AI coding agents?▼

Continuous improvement logging is the process of capturing learnings, errors, and corrections during development tasks to prevent recurring mistakes across sessions. This mechanism stores entries in structured markdown files to track agent progress over time.

Can I promote captured learnings to CLAUDE.md or copilot-instructions.md?▼

Yes, you can promote captured learnings by extracting reusable insights to CLAUDE.md, AGENTS.md, or .github/copilot-instructions.md. This elevates valuable entries into permanent agent configuration files for broader application.

Does OpenClaw support cross-session sharing for development learnings?▼

Yes, OpenClaw supports cross-session sharing by integrating hooks that automate prompts and share logged learnings across different environments. This ensures improvements persist beyond a single task or session.

When do I need to log a learning entry in my development workflow?▼

You need to log a learning entry after a task completes, specifically following failures, user corrections, or when identifying missing capabilities. This captures actionable context while the development workflow is still fresh.

What is the best way to track recurring errors across multiple AI agents?▼

The best way to track recurring errors across multiple agents is to centralize logs in structured files like ERRORS.md and LEARNINGS.md. This approach captures patterns uniformly and integrates with OpenClaw for cross-agent visibility.