aif-evolve

# Evolve - Skill Self-Improvement Analyze project context, patches, and codebase to improve existing skills. Makes AI Factory smarter with every run. ## Core Idea ``` patches (past mistakes) + project context + codebase patterns ↓ analyze recurring problems, tech-specific pitfalls, project conventions ↓ enhance skills with project-specific rules, guards, and patterns ``` ## Patch Consumption Policy Use a two-layer learning model: 1. **Raw patches** (`paths.patches`, default: `.ai-factory/patches/*.md`) are the source material. 2. **Skill-context rules** (`.ai-factory/skill-context/*`) are the compact, reusable output. Policy across workflow skills: - `/aif-evolve` is the primary raw-patch analyzer. It processes patches **incrementally** using a cursor. - `/aif-implement`, `/aif-fix`, and `/aif-improve` should prefer skill-context first; raw patches are fallback context only. - Force full re-analysis only when needed (e.g., reset cursor and rerun evolve). ## Critical: Never Edit Built-in Skills Directly **NEVER modify any files inside built-in `aif-*` skill directories** (`skills/aif-*/`). All files in these directories are owned by ai-factory and will be overwritten on update — any direct edits will be lost. **ALWAYS write project-specific rules to skill-context:** ``` .ai-factory/skill-context/<skill-name>/SKILL.md ``` This is the ONLY correct target for built-in skill improvements. No exceptions. ## Workflow ### Step 0: Resolve Target & Load Context ##...