review-plan

Validate implementation plans for technical feasibility and requirement alignment.

1|Updated Dec 22, 2017
One-click install
npx skills add https://github.com/coreyhulen/enviroment --skill review-plan-coreyhulen
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: review-plan
Source: https://github.com/coreyhulen/enviroment/tree/main/claude-init/skills/review-plan
Command: npx skills add https://github.com/coreyhulen/enviroment --skill review-plan-coreyhulen

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps catch critical flaws in implementation plans before coding begins, ensuring that plans are technically feasible and align with requirements, saving development time and preventing costly rework.

Core Features & Use Cases

  • Dual Review Modes: Validates both technical feasibility and requirement alignment.
  • 80/20 Focus: Prioritizes high-impact issues, avoiding analysis paralysis.
  • Use Case: Before starting a new feature, use /review-plan to have multiple AI models check the proposed implementation plan for potential blockers or requirement misunderstandings.

Quick Start

Use the review-plan skill to perform a technical feasibility review on the file 'plan.md'.

Frequently Asked Questions about review-plan

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

FAQPage Schema
How do I validate technical feasibility in an implementation plan before coding?

You can check requirement alignment by using a specific validation mode for requirements. This reviews the proposed implementation against the original requirements to catch misunderstandings before development begins.

What is the best way to catch high-impact issues in a software development plan?

The best way to catch high-impact issues is using an AI review process that applies the 80/20 principle. This focuses the analysis on critical technical flaws and requirement misalignments, avoiding analysis paralysis by prioritizing the most significant blockers.

How does a multi-LLM approach improve plan validation and requirements review?

A multi-LLM approach improves plan validation by cross-checking the implementation plan across different models to spot critical flaws. This dual review mechanism ensures both technical feasibility and requirement alignment are thoroughly verified before coding starts.

Can I integrate AI plan validation with code review workflows?

Yes, AI plan validation integrates directly with code review workflows and plan generation. This allows teams to seamlessly transition from validating technical feasibility and requirements to actual implementation and subsequent code reviews.

When should I not use AI to review a software implementation plan?

You should not use AI to review a software implementation plan if the task lacks a formal plan document or clear requirements. The validation process requires an existing plan to analyze and relies on structured inputs to provide meaningful high-impact feedback.