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self-improvement

Log errors, corrections, and feature requests to YAML-frontmatter files under .learnings.

1|Updated Mar 6, 2026
Search Tags:#automation#logs#self-improvement#hooks#memory#learnings#openclaw
One-click install
npx skills add https://github.com/isaaceliape/FASE --skill self-improvement-isaaceliape
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: self-improvement
Source: https://github.com/isaaceliape/FASE/tree/main/skills/self-improving-agent
Command: npx skills add https://github.com/isaaceliape/FASE --skill self-improvement-isaaceliape

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill enables systematic logging of learnings, errors, and corrections to fuel continuous improvement across AI-assisted workflows.

Core Features & Use Cases

  • Log errors, corrections, and feature requests to dedicated learnings files for traceability and quick reviews.
  • Promote high-value learnings to project-wide memories (CLAUDE.md, AGENTS.md, or Copilot instructions) for reusable guidance.
  • Integrate with OpenClaw hooks and standard agents to capture learnings automatically during sessions.

Quick Start

In your first session, prompt to log a learning to .learnings/ using the provided templates and scripts.

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 workflow errors and corrections for continuous improvement?▼

Log AI workflow errors and corrections by capturing them into dedicated learnings files under the .learnings directory. This enables systematic traceability and continuous improvement across AI-assisted sessions.

What is the best way to capture learnings from OpenClaw hooks automatically?▼

The best way to capture learnings from OpenClaw hooks is to integrate with standard agents during active sessions, automatically logging errors and feature requests to dedicated files for review.

Can I promote session learnings to project-wide memories like CLAUDE.md?▼

Yes, you can promote high-value session learnings to project-wide memories like CLAUDE.md, AGENTS.md, or Copilot instructions. This creates reusable guidance across your AI workflows.

Do I need YAML frontmatter to track learnings in my AI workflow?▼

Yes, you need YAML frontmatter containing name and description fields to track learnings. This metadata structure supports dedicated logs, optional scripts, references, and assets.

Does the self-improvement skill work without external dependencies?▼

Yes, the self-improvement skill works without external dependencies. It uses internal scripts, references, and assets to capture, process, and promote insights within OpenClaw and related AI workflows.

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