kimchi:plan-revise

Review PLAN-DRAFT.md against REQUIREMENTS.md and RESEARCH.md to produce PLAN-REVISED-{model}.md.

8|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/Tromml/kimchi --skill kimchi-plan-revise
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: kimchi:plan-revise
Source: https://github.com/Tromml/kimchi/tree/main/plugins/kimchi/skills/plan-revise
Command: npx skills add https://github.com/Tromml/kimchi --skill kimchi-plan-revise

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures the quality and accuracy of a generated plan by having different AI models review and correct it from their unique perspectives, preventing errors and improving clarity.

Core Features & Use Cases

  • Fresh-Eyes Review: Identifies logical errors, completeness issues, and clarity problems in a draft plan.
  • Cross-Model Synthesis: Enables multiple AI models to contribute to a single, robust plan.
  • Use Case: After an initial plan is drafted, this Skill is run by different AI models to catch potential flaws or overlooked details before the plan is finalized for execution.

Quick Start

Run the plan-revise skill to have the current model review the draft plan.

Frequently Asked Questions about kimchi:plan-revise

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

FAQPage Schema
How do I review a draft plan for correctness and completeness using multiple AI models?

Cross-model plan review analyzes a PLAN-DRAFT.md file against REQUIREMENTS.md and RESEARCH.md to identify and correct errors in correctness, completeness, and clarity. It synthesizes perspectives from different AI models to catch overlooked details before finalizing execution.

What is cross-model plan refinement?

Cross-model plan refinement is a fresh-eyes review process where different AI models evaluate a draft plan to identify architectural risks and logical errors. You need it after an initial plan is drafted to prevent errors and improve accuracy before execution.

How do I generate a revised plan from a draft using AI?

Generate a revised plan by analyzing PLAN-DRAFT.md against REQUIREMENTS.md and RESEARCH.md to produce a revised plan file. This refines the original draft by correcting architectural issues and improving overall clarity.

Can I use AI to check my draft plan for architectural risks and logical errors?

Yes, you can check your draft plan for architectural risks and logical errors through a fresh-eyes review process. This evaluates the draft against your requirements to ensure completeness and correctness before finalizing the plan.

What files do I need to provide for an AI plan review?

You need to provide PLAN-DRAFT.md, REQUIREMENTS.md, and RESEARCH.md for an AI plan review. The review analyzes these documents to identify and correct errors in correctness, architecture, and risks, outputting a revised plan.

How do multiple AI models contribute to a single robust plan?

Multiple AI models contribute to a single robust plan by each performing a fresh-eyes review of the draft to catch potential flaws from their unique perspectives. This cross-model synthesis prevents errors and improves clarity before finalizing the plan.