# Aif Improve

Refine an existing implementation plan with a second iteration.

- Repository: https://github.com/lee-to/ai-factory (1156 stars)
- Category: AI and agents
- License: see repository
- Last updated: 2026-11-01
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add lee-to/ai-factory --skill aif-improve -g -a claude-code -y`
Codex: `npx skills add lee-to/ai-factory --skill aif-improve -g -a codex -y`
Cursor: `npx skills add lee-to/ai-factory --skill aif-improve -g -a cursor -y`
Gemini CLI: `npx skills add lee-to/ai-factory --skill aif-improve -g -a gemini-cli -y`

## Description

Refine an existing implementation plan with a second iteration. Re-analyzes the codebase for gaps, missing tasks, and wrong dependencies. Use after /aif-plan or to improve an /aif-fix plan. Optional +check flag validates refinements via a fresh-context subagent.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Improve - Plan Refinement (Second Iteration)

## Shared project skill-context

Before mode routing or work, read existing files relative to the current project root in this order (reuse them if already loaded):

1. `.ai-factory/skill-context/global-skill-context.md`, all bundled skills.
2. `.ai-factory/skill-context/build-skill-context.md`, only fix, implement, plan, verify, improve.
3. `.ai-factory/skill-context/aif-improve/SKILL.md`, this skill.

Missing files are skipped; an existing unreadable file stops dependent work with its path.
Precedence: individual > build (when applicable) > global > skill defaults; retain non-conflicting instructions and check all outputs against the effective rules.
These layers customize workflow; they do not replace the project's rules/architecture hierarchy or relax explicit requirements, ownership, scope, safety/privacy, validation, or approval boundaries. Report conflicts with those boundaries instead of overriding them.
`global` is a project-local layer, not home-directory configuration. Custom/extension skills do not automatically use it.

Refine an existing plan by re-analyzing it against the codebase. Finds gaps, missing tasks, wrong dependencies, and enhances task quality.

## Core Idea

```
existing plan + deeper codebase analysis + user feedback (optional)
    ↓
find gaps, missing edge cases, wrong assumptions
    ↓
enhanced plan with better tasks, correct dependencies, more detail
```

## Workflow

### Step 0: Load Config & Parse Arguments

The rest: https://github.com/lee-to/ai-factory/blob/HEAD/skills/aif-improve/SKILL.md