qa

Run end-to-end web application tests and verify fixes across environments.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/scanbott/claude-skills --skill qa-scanbott
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa
Source: https://github.com/scanbott/claude-skills/tree/main/gstack/qa
Command: npx skills add https://github.com/scanbott/claude-skills --skill qa-scanbott

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

QA testing is time-consuming and error-prone when done manually. This Skill systematizes web-app QA by running tests, surfacing defects, and guiding iterative fixes all the way to verified ship readiness.

Core Features & Use Cases

  • Automated test runs: run smoke, regression, and exploratory checks across environments, with evidence capture.
  • Bug fixing loop: propose fixes, commit atomically, re-run verification to ensure regression safety.
  • Ship-readiness assessment: produces before/after health scores and a concise report to guide release decisions.
  • Use Case: You just deployed a change; run QA to confirm it doesn't introduce regressions before merging.

Quick Start

Run the QA workflow on your app to generate a test report and a verified fix.

Frequently Asked Questions about qa

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

FAQPage Schema
How do I automate web application regression testing after a deployment?

Automated regression testing for web applications runs end-to-end checks to detect defects and verify fixes across environments. It executes smoke and exploratory checks, captures evidence, and generates a ship-readiness report before merging changes.

What is the best way to run a bug fixing loop with automated verification?

A bug fixing loop proposes fixes, commits atomically, and re-runs automated verification to ensure regression safety. This iterative workflow applies test harnesses and evidence capture to validate that bug fixes do not introduce new defects.

Can I generate a ship-readiness assessment score for my web app?

Ship-readiness assessment produces before and after health scores and a concise report to guide release decisions. It evaluates automated test runs and defect fixes to verify whether your web application is safe to ship.

Does this QA workflow support smoke checks across multiple environments?

QA workflows support smoke, regression, and exploratory checks across multiple environments. Automated test harnesses execute these checks to capture evidence and verify fixes, ensuring iterative testing scales from quick smoke checks to exhaustive regression.

How do I capture test evidence for defects found during regression testing?

Regression testing captures evidence during automated test runs by executing end-to-end checks across environments. This evidence surfaces defects and guides the iterative bug fixing loop, ensuring all fixes are verified before final release.

Why do I need automated test harnesses for iterative web app testing?

Automated test harnesses are required for iterative web app testing to execute smoke and regression checks, capture evidence, and verify fixes. Manual QA is time-consuming and error-prone, whereas automation ensures regression safety and accurate ship-readiness assessment.