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aif-evolve

Analyze past project patches to update project-level AI skill rules.

Updated Apr 21, 2026
Search Tags:#bug prevention#codebase conventions#ai-factory#skill evolution#patch analysis#self-improving ai
One-click install
npx skills add https://github.com/marinkobabic/dario-shop --skill aif-evolve-marinkobabic
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aif-evolve
Source: https://github.com/marinkobabic/dario-shop/tree/main/.claude/skills/aif-evolve
Command: npx skills add https://github.com/marinkobabic/dario-shop --skill aif-evolve-marinkobabic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the repetitive mistakes AI assistants make on your project by automatically learning from past code fixes, project-specific conventions, and codebase patterns, ensuring the AI gets smarter with every run instead of repeating the same errors.

Core Features & Use Cases

  • Patch Analysis: Extracts actionable prevention points from past code patches to identify recurring bugs and tech-specific pitfalls.
  • Skill Enhancement: Updates project-specific AI skill rules to enforce guards and patterns that prevent future mistakes, without modifying built-in skill files.
  • Use Case: If your team repeatedly introduces null reference errors when working with Prisma ORM, this skill will detect the pattern from past patches and add a guard rule to the relevant AI skill to catch the issue before it happens again.

Quick Start

Use the aif-evolve skill to analyze all past project patches and update your AI skills with project-specific rules that prevent recurring bugs.

Frequently Asked Questions about aif-evolve

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

FAQPage Schema
How do I stop AI from making the same coding mistakes on my project?▼

To prevent AI from repeating coding mistakes, analyze past project patches and codebase conventions to extract actionable bug prevention rules. This updates project-level skill-context files to enforce guards against recurring errors.

How does self-improving AI skill evolution work for software development?▼

Self-improving AI skill evolution works by processing incremental codebase patch sets to identify recurring bugs and tech-specific pitfalls. It then writes extracted prevention rules to project-level skill-context files to eliminate future errors.

Can I update AI Factory skills without modifying built-in skill assets?▼

Yes, you can update AI Factory skills without modifying built-in skill assets by writing all improvements to project-level skill-context files. This ensures cumulative project-specific skill enhancement while preserving the integrity of the original built-in skill files.

How do I extract bug prevention rules from past code patches?▼

Extract bug prevention rules by analyzing incremental patch sets for recurring bugs and codebase conventions. This patch analysis identifies tech-specific pitfalls and translates them into actionable guards for your AI skills.

Does AI Factory skill evolution work with any codebase conventions?▼

Yes, AI Factory skill evolution works with any codebase conventions by analyzing your project's specific patch history and patterns. It adapts to your unique workflow gaps and tech-specific pitfalls to generate tailored prevention rules for your software development environment.

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