aif-evolve

Generate project-specific skill-context updates and evolution logs from patches.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/ichinya/idshka --skill aif-evolve-ichinya
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aif-evolve
Source: https://github.com/ichinya/idshka/tree/main/.codex/skills/aif-evolve
Command: npx skills add https://github.com/ichinya/idshka --skill aif-evolve-ichinya

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates ongoing improvement of AI Factory skills by analyzing project context, patches, and codebase patterns to produce context-aware rules that prevent repeat mistakes.

Core Features & Use Cases

  • Context-aware skill evolution: adapts built-in skills to the current project patterns and conventions.
  • Patch-driven prevention extraction: derives actionable prevention points from historical patches and aligns them with targeted skills.
  • Plan-aware evolution: supports plan evidence to guide evolution with plan context for safer upgrades.
  • Auto-maintained skill-context: keeps project-specific overrides in .ai-factory/skill-context without altering base skill definitions.

Quick Start

Use aif-evolve to begin evolving all installed skills against the current project context and patch history.

Frequently Asked Questions about aif-evolve

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

FAQPage Schema
How do I automate AI skill improvement using project context and patch history?

Automate AI skill improvement by analyzing project context and historical patches to generate project-specific rules. This prevents repeat mistakes by deriving actionable prevention points aligned with targeted skills.

How does patch-driven prevention extraction work for evolving AI skills?

Patch-driven prevention extraction works by deriving actionable prevention points from historical patches and aligning them with targeted skills. It uses plan-aware evidence to guide skill evolution for safer upgrades.

Can I maintain project-specific skill overrides without altering base skill definitions?

You can maintain project-specific overrides without altering base definitions by auto-maintaining updates in the skill-context directory. This ensures built-in skills adapt to current project patterns safely.

What is the best way to prevent repeat coding mistakes in automated AI workflows?

The best way to prevent repeat mistakes is to evolve AI skills with project-aware precision. Analyzing codebase patterns and patches produces context-aware rules that constrain future AI actions.

Does aif-evolve support plan-aware evidence for safer skill upgrades?

Yes, aif-evolve supports plan-aware evidence to guide evolution with plan context for safer upgrades. It constrains evolution to built-in and target skills using this structured evidence.

Why does AI-generated code frequently ignore my project's specific conventions?

AI-generated code ignores conventions when skills lack project-specific context. Evolving skills with context-aware rules derived from your codebase patterns and patch history directly addresses this gap.