ai-factory.improve

Analyze active AI Factory plans against the codebase to surface gaps and dependency corrections.

1.1k|92|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/lee-to/ai-factory --skill ai-factory-improve
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-factory.improve
Source: https://github.com/lee-to/ai-factory/tree/main/skills/improve
Command: npx skills add https://github.com/lee-to/ai-factory --skill ai-factory-improve

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Refine an existing AI Factory plan by re-analyzing the codebase to surface gaps, missing tasks, incorrect dependencies, and opportunities to enhance plan quality, ensuring smooth handoffs to implementation.

Core Features & Use Cases

  • Deep plan evaluation against the current codebase to identify gaps and redundancies.
  • Dependency and scope refinement with actionable task-level recommendations.
  • Structured plan improvement report that preserves completed work and traces changes to code evidence.
  • Safe application of approved improvements via explicit user confirmation and plan synchronization.

Quick Start

Run /ai-factory.improve to analyze the current plan and surface concrete improvement recommendations.

Frequently Asked Questions about ai-factory.improve

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

FAQPage Schema
How do I refine a project plan against my current codebase?

Refine a project plan by running an automated analysis against the codebase to surface gaps, missing tasks, and incorrect dependencies. This generates a structured improvement report with actionable task-level recommendations.

What is the best way to update task dependencies after codebase changes?

Updating task dependencies after codebase changes requires analyzing the active plan and patch history to identify scope shifts. The tool provides dependency corrections and task-level recommendations that preserve completed work.

Can I automate plan refinement without losing completed tasks?

Automated plan refinement preserves completed work by tracing proposed changes to code evidence and enforcing controlled updates. Improvements are only applied after explicit user confirmation and plan file synchronization.

How does codebase analysis identify missing tasks in a project plan?

Codebase analysis identifies missing tasks by evaluating the active plan against actual code changes and patch history. It surfaces redundancies and gaps, providing a structured report that traces improvements to concrete code evidence.

Do I need to manually patch plan files when improving project scope?

Manual patching is unnecessary because the system enforces plan file synchronization automatically. After you confirm the recommended task-level updates and dependency corrections, the tool applies the approved improvements directly.

Why does plan refinement require user confirmation before applying patches?

Plan refinement requires user confirmation to enforce controlled changes and prevent unintended scope drift. This ensures that task-level updates and dependency corrections are explicitly approved before plan file synchronization occurs.