aif-improve

Re-analyze a codebase to refine implementation plans and generate a Plan Refinement Report.

56|3|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/lee-to/ai-workspace --skill aif-improve-lee-to
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aif-improve
Source: https://github.com/lee-to/ai-workspace/tree/main/.claude/skills/aif-improve
Command: npx skills add https://github.com/lee-to/ai-workspace --skill aif-improve-lee-to

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Refine and elevate an existing implementation plan by re-analyzing the codebase to uncover gaps, missing tasks, and incorrect dependencies, producing a tighter, more accurate roadmap for implementation.

Core Features & Use Cases

  • Plan gap detection: Identify missing tasks, edge cases, and overlooked dependencies by tracing code paths and configuration patterns.
  • Dependency correction: Reorder or add dependencies to ensure tasks execute in a safe, logical sequence.
  • Context-aware refinement: Apply project-specific rules from skill-context, preserve completed work, and generate a structured refinement report.
  • Use Case: Use after /aif-plan to polish a feature plan before implementation, or to improve an existing /aif-fix plan in response to codebase changes.

Quick Start

Run the /aif-improve command to start refining your current plan against the latest codebase and project context.

Frequently Asked Questions about aif-improve

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

FAQPage Schema
How do I refine an implementation plan to find missing tasks and dependencies?

Plan refinement re-analyzes the codebase to detect missing tasks, edge cases, and incorrect dependencies, ensuring tasks execute in a safe, logical sequence.

When do I need to re-analyze my codebase to update an existing implementation plan?

Re-analyze your codebase to update an implementation plan when responding to codebase changes or polishing a feature plan before implementation. This preserves completed work while correcting task ordering.

Does plan refinement preserve completed work when applying project-specific rules?

Plan refinement preserves completed work while applying project-specific rules from skill-context. It generates a structured Plan Refinement Report detailing the updated roadmap for multi-module projects.

What is the best way to polish a feature plan for multi-module projects?

The best way to polish a feature plan for multi-module projects is code-aware refinement, which uncovers overlooked dependencies by tracing code paths and configuration patterns to tighten the roadmap.

How do I fix incorrect task dependencies in a complex pipeline implementation plan?

Fix incorrect task dependencies by reordering or adding dependencies through plan refinement. This ensures tasks in complex pipelines execute in a safe, logical sequence based on current code.