platonic-code-review

Verify spec-to-code alignment across RFCs, requirements, and design documents.

4|Updated Jan 28, 2026
One-click install
npx skills add https://github.com/caesar0301/platonic-coding-skills --skill platonic-code-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: platonic-code-review
Source: https://github.com/caesar0301/platonic-coding-skills/tree/main/skills/platonic-code-review
Command: npx skills add https://github.com/caesar0301/platonic-coding-skills --skill platonic-code-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

Helps teams verify that code implementations conform to project specifications (RFCs, requirements, and design documents), reducing gaps and misalignments.

Core Features & Use Cases

  • Spec-to-code alignment: validate that implementation matches stated requirements and design decisions.
  • Gap analysis: identify missing features or discrepancies between specs and code.
  • Evidence-driven reviews: generate structured reports with code references and actionable recommendations.

Quick Start

Run platonic-code-review on your codebase to generate a spec-to-code review report.

Frequently Asked Questions about platonic-code-review

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

FAQPage Schema
How do I verify spec-to-code alignment between RFCs and my codebase?

Spec-to-code alignment is verified by cross-referencing implementation against RFCs, requirements, and design documents to identify discrepancies and ensure completeness. This process generates structured review reports containing evidence references and actionable recommendations.

What is gap analysis in code review for design audits?

Gap analysis in code review identifies missing features or discrepancies between project specifications and the actual code implementation. It ensures completeness and consistency during design audits and implementation verification.

How do I generate an evidence-driven code review report for compliance verification?

Evidence-driven code review reports are generated by analyzing the codebase against stated requirements and design decisions. The resulting structured reports include code references and actionable recommendations for compliance verification.

Can I use automated spec-to-code review without modifying my source code?

Automated spec-to-code review can be performed without modifying source code. The process focuses on verification and gap analysis, generating structured reports with evidence references and actionable recommendations instead of altering the implementation.

When do I need specification verification for software engineering projects?

Specification verification is needed during RFC reviews, design audits, and implementation verification to ensure codebases conform to project specifications. It reduces gaps and misalignments between stated requirements and actual implementation.

What is the best way to perform a design audit on an existing codebase?

The best way to perform a design audit is to cross-reference design documents and RFCs against the codebase to validate spec-to-code alignment. This generates structured reports with evidence references highlighting missing features and discrepancies.