qa-sweep

Inspect code, review agent-written code, and polish UI across a repository.

1|Updated Feb 3, 2026
One-click install
npx skills add https://github.com/trungtnm/claude-code-utils --skill qa-sweep-trungtnm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa-sweep
Source: https://github.com/trungtnm/claude-code-utils/tree/main/plugins/skills/qa-sweep
Command: npx skills add https://github.com/trungtnm/claude-code-utils --skill qa-sweep-trungtnm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

QA sweep systematically identifies and fixes quality issues across a codebase, pairing automated inspection with expert review to reduce risk before shipping.

Core Features & Use Cases

  • End-to-end three-phase approach: random code inspection, agent-written code peer review, and UI/UX polish pass.
  • Autonomous execution to accelerate audits without interrupting developer workflows.
  • Ideal for release readiness, after bursts of agent work, and ongoing quality debt reduction.

Quick Start

Start a full QA sweep to audit code health, reviewer quality, and UI polish across the repository.

Frequently Asked Questions about qa-sweep

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

FAQPage Schema
How do I run an automated QA sweep to identify code quality issues across my codebase?

An automated QA sweep identifies and fixes quality issues through a three-phase approach: random code inspection, peer review of agent-written code, and UI/UX polish. It executes autonomously to reduce risk before shipping.

When should I perform a code quality sweep on my repository?

Code quality sweeps are ideal during release planning, after bursts of agent work, or whenever quality debt exists. They systematically ensure code correctness, agent code quality, and user experience polish.

Does autonomous code review work for catching quality debt from AI-generated code?

Yes, the peer review phase specifically targets agent-written code to evaluate quality. This autonomous inspection catches quality debt accumulated from AI-generated code before it reaches production.

What is the best way to audit UI polish and code correctness before a release?

The best way is an end-to-end QA sweep that applies predefined success criteria across three phases: random code inspection, agent code peer review, and a UI/UX polish pass to ensure release readiness.

Can I use a QA sweep to review code after automated agents make changes?

Yes, QA sweeps are explicitly designed for use after bursts of agent work. The peer review phase evaluates agent-written code quality, while the random inspection and UI polish phases cover broader codebase health.

What are the limitations of autonomous quality sweeps for code review?

Autonomous quality sweeps rely on predefined success criteria and operate without interrupting developer workflows. They focus on random inspection, agent code peer review, and UI polish rather than deep architectural refactoring.