evolve-ai-layer

Guide systematic improvement of AI layer components, including AGENTS.md updates and command refinement.

Updated Apr 3, 2026
One-click install
npx skills add https://github.com/jmolz/m0lz.02 --skill evolve-ai-layer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: evolve-ai-layer
Source: https://github.com/jmolz/m0lz.02/tree/main/.agents/skills/evolve-ai-layer
Command: npx skills add https://github.com/jmolz/m0lz.02 --skill evolve-ai-layer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the need for systematic improvement and diagnosis of AI layer components, aiding in updating rules, enhancing AGENTS.md, and refining AI context.

Core Features & Use Cases

  • Rule and AGENTS.md Updates: Assists in updating AGENTS.md with new patterns, rules, and conventions.
  • Skill Creation: Guides in creating specialized skills for complex tasks and workflows.
  • Command Refinement: Offers instructions for updating and improving commands within AI systems.
  • Use Case: When an AI agent repeatedly makes the same mistake, this Skill can be used to diagnose the issue, update the relevant rules or patterns, and correct the agent's behavior.

Quick Start

Run the 'evolve-ai-layer' skill to review and update the AI layer based on the current project's needs.

Frequently Asked Questions about evolve-ai-layer

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

FAQPage Schema
How do I stop an AI agent from repeating the same mistake in my workflow?

Diagnosing repeated AI agent mistakes involves updating relevant rules, AGENTS.md patterns, and commands to correct the behavior systematically. This Skill provides structured guidance for that exact refinement process.

What is the best way to update AGENTS.md with new project conventions?

Updating AGENTS.md with new conventions requires applying structured guidance to integrate new patterns and rules into your AI context. This ensures the agent adheres to refined instructions across workflows.

How does diagnosing AI layer performance improve my development workflow?

Diagnosing AI layer performance improves development workflows by identifying behavioral issues and refining commands or rules. This structured update process enhances the overall AI context and task execution.

Can I create specialized skills for complex tasks using this approach?

Creating specialized skills for complex tasks is supported by guiding the definition of new rules and refining commands. This builds dedicated capabilities within your AI system.

Do I need existing AI rules to use this AI layer refinement process?

You do not need existing rules to start, but having an AGENTS.md file or current AI context allows the diagnosis and improvement process to effectively target and update your specific components.