skills.rest
tarunccet
tarunccetCOMMUNITY
Explore all skills by this author →
GitHub

code-review-for-pms

Audit AI-generated code against product specs, security, data model, UX, and error handling.

5|2|Updated Mar 27, 2026
Search Tags:#security#code-review#ai-generated-code#product-management#spec-compliance#data-model#ux-review
One-click install
npx skills add https://github.com/tarunccet/pm-skills --skill code-review-for-pms
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review-for-pms
Source: https://github.com/tarunccet/pm-skills/tree/main/pm-vibe-coding/skills/code-review-for-pms
Command: npx skills add https://github.com/tarunccet/pm-skills --skill code-review-for-pms

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PMs often need a structured way to validate AI-generated code against product requirements, security norms, data-model integrity, and user-facing error handling.

Core Features & Use Cases

  • Spec compliance: Verify that the implementation matches the original user stories and acceptance criteria.
  • Security & data concerns: Identify potential security risks and data-model misalignments that could impact users.
  • UX & error states: Check that error handling and user-facing messages align with the product requirements.
  • When to use: Use during AI-assisted coding sessions, prototype reviews, and code-generation handoffs to ensure alignment before sharing with stakeholders.
  • When NOT to use: Not a substitute for engineering reviews on production code; use as a product-focused gate.

Quick Start

Paste the AI-generated code and the original specification into the review tool to produce a structured assessment.

Frequently Asked Questions about code-review-for-pms

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

FAQPage Schema
Can I check AI-generated code for security and data model issues?▼

The review flags potential security risks and validates data-model integrity in AI-generated code. It ensures data structures align correctly to prevent misalignments that could impact users.

How do I validate user-facing error messaging in AI-generated prototypes?▼

You validate user-facing error messaging by auditing the AI-generated code against product requirements. The review checks that error handling and user-facing messages align with the UX spec.

Does this product management code review replace engineering reviews on production code?▼

No, this product management code review does not replace engineering reviews on production code. It serves strictly as a product-focused gate to ensure alignment before stakeholder handoffs.

When should I use a PM-focused code review for AI-assisted coding sessions?▼

Use a PM-focused code review during AI-assisted coding sessions, prototype reviews, and code-generation handoffs. It ensures product alignment across discovery to delivery scenarios prior to stakeholder handoffs.

Related Skills

Explore More Software Engineering Skills→
Intense-VisionsIntense-Visions
18

harness-product-spec

Generate structured product specifications with EARS acceptance criteria from GitHub issues.

Official
Advanced
ydnikolaevydnikolaev
8

idea-interview

Extract project information through structured stakeholder interviews into a discovery brief.

Community
Advanced
tarunccettarunccet
5

prototype-plan

Plans MVP builds with AI coding tool recommendations and session-by-session estimates.

Community
Intermediate
prof-danielcprof-danielc

speckit.checker

Run static analysis tools and aggregate results into a prioritized issue report.

Community
Advanced