self-improvement

Name: self-improvement
Availability: InStock
Author: tusosos

Log learnings, errors, and corrections to .learnings files.

Updated Apr 3, 2026

Search Tags:#memory #learnings #error-tracking #continuous-improvement #openclaw #log-management

Ready to run

npx skills add https://github.com/tusosos/manus-knowledge-base --skill self-improvement-tusosos

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: self-improvement
Source: https://github.com/tusosos/manus-knowledge-base/tree/main/skills/self-improvement
Command: npx skills add https://github.com/tusosos/manus-knowledge-base --skill self-improvement-tusosos

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Captures learnings, errors, and corrections to enable continuous improvement across agents and workflows, reducing repeated mistakes and enabling faster iteration.

Core Features & Use Cases

Log learnings to a central repository (.learnings) with categories like correction, knowledge_gap, or best_practice.
Automatically surface patterns and promote high-value learnings to project memory or agent guidance.
Use cases include handling command failures, user corrections, and requests for new capabilities.

Quick Start

Record your first learning after a task completes by saving a concise entry to .learnings/LEARNINGS.md.

Frequently Asked Questions about self-improvement

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

FAQPage Schema

How do I track command failures and user corrections for continuous improvement?▼

To track command failures and user corrections for continuous improvement, you log learnings and errors to a central repository under .learnings. Entries are categorized as corrections, knowledge gaps, or best practices to reduce repeated mistakes.

What is the best way to maintain a learning log across multiple agents?▼

Maintaining a learning log across agents requires saving concise entries to .learnings/LEARNINGS.md. This central repository preserves shared error tracking and knowledge, enabling faster iteration and continuous improvement across workflows.

How do I promote high-value learnings to project memory files like CLAUDE.md?▼

Promoting high-value learnings to project memory files like CLAUDE.md uses optional promotion pathways. When logged patterns in .learnings become broadly applicable, they are elevated to workspace guidance or agent memory files.

When do I need to save error tracking logs in a workspace?▼

You need to save error tracking logs in a workspace when commands fail, user corrections occur, or new capabilities are identified. This ensures continuous improvement by preserving corrections and best practices for future tasks.

Does this continuous improvement approach work without external dependencies?▼

This continuous improvement approach works without external dependencies because it relies entirely on maintaining dedicated log files under .learnings. It organizes learnings natively within any workspace environment.