dev-ui-review

Review UI lesson code for correctness, cleanup, and documentation issues.

36|6|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/Nebulavenus/forge-gpu --skill dev-ui-review-nebulavenus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dev-ui-review
Source: https://github.com/Nebulavenus/forge-gpu/tree/main/.claude/skills/dev-ui-review
Command: npx skills add https://github.com/Nebulavenus/forge-gpu --skill dev-ui-review-nebulavenus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill performs a structured UI quality review to catch code quality, correctness, and documentation issues before the dev-final-pass.

Core Features & Use Cases

  • Phase-based review workflow assessing code correctness, cleanup, and documentation across UI lessons.
  • Parallel agent-driven checks covering memory safety, parameter validation, bug detection, undefined behavior, resource cleanup, test verifications, and documentation consistency across common/ui and lesson code.
  • Use case: Before releasing a UI lesson, run this skill to catch issues and produce a consolidated report for fixes.

Quick Start

Run the three phases in order, using a Task agent (model: haiku) for builds, tests, and linting, and repeat until no findings remain.

Frequently Asked Questions about dev-ui-review

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

FAQPage Schema
How do I perform a structured UI code review before final release?

A structured UI code review evaluates code correctness, cleanup, and documentation across UI lessons. It coordinates phase-based agent reviews to analyze common/ui code and lesson mains, producing a comprehensive report of hotspots requiring scrutiny before the final pass.

What does static analysis check for in UI lesson code?

Static analysis for UI lesson code checks for memory safety, parameter validation, bug detection, and undefined behavior. It also enforces explicit checks for resource cleanup, test verifications, and documentation consistency across common/ui components and lesson mains.

How do I run phase-based checks to catch UI correctness and documentation issues?

You run phase-based checks sequentially using a Task agent for builds, tests, and linting. This parallel agent-driven workflow assesses code correctness, cleanup, and documentation, repeating until no findings remain and a consolidated report is produced.

Can I use an automated agent workflow for UI quality assurance and linting?

Yes, automated agent workflows support UI quality assurance and linting by applying parallel checks across UI contexts. They identify hotspots requiring scrutiny and enforce explicit validations for parameter handling, resource cleanup, and test verifications.

When do I need a pre-final pass UI quality review for my repository?

You need a pre-final pass UI quality review before releasing UI lessons across a repository. It catches code quality, correctness, and documentation issues early by analyzing common/ui code and lesson mains to identify hotspots requiring scrutiny.

What is the best way to consolidate UI code quality and correctness checks?

The best way to consolidate UI code quality and correctness checks is a phase-based review workflow. It coordinates parallel agent reviews covering memory safety, bug detection, and documentation consistency, producing a comprehensive report for fixes.