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.