PramodDutta

QA Skills Directory QA Skills is a curated directory of testing-specific skills for AI coding agents (Claude Code, Cursor, Copilot, etc.).

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Found Feb 12, 2026 at 49 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

QASkills.sh is a curated collection of testing instructions that users add to their AI coding assistants to enable professional-quality automated tests.

How It Works

1
🌐 Discover QASkills.sh

You stumble upon the friendly directory of ready-made testing tips for AI helpers while looking for better ways to check your apps.

2
🔍 Browse helpful skills

You explore the collection of testing instructions sorted by what you need, like checking web pages or speeding up your app.

3
Pick your skill

You select the perfect set of tips for your project, like expert steps for smooth web testing.

4
🚀 Add it easily

With one quick action, you bring the skill into your AI helper so it learns these smart testing ways.

5
🤖 It sets up automatically

Your AI helper notices the new knowledge and starts using it right away without any hassle.

🎉 Test like a pro

Now your AI creates reliable tests following best practices, saving you time and headaches every day.

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AI-Generated Review

What is qaskills?

qaskills is an agent skills directory focused on QA testing for AI coding agents like Claude Code, Cursor, and Copilot. It solves the gap where general skills repositories overlook testing patterns, letting you install curated SKILL.md files via a TypeScript CLI: `npx @qaskills/cli add playwright-e2e` auto-detects your agent and drops expertise into its config. A Next.js web app hosts the directory, search, leaderboard, and dashboard for publishing.

Why is it gaining traction?

Unlike broad skills github repos or anthropic skills directories, qaskills curates QA-only packs for frameworks like Playwright, Cypress, and k6, with quality scores and agent compatibility for 27+ tools. Developers hook on the zero-setup CLI—search, add, list, remove—and instant test-writing upgrades without manual config hunting. It's a niche fix for AI agents fumbling E2E or API tests.

Who should use this?

QA engineers pairing with Claude or Copilot on test automation suites, especially those grinding Playwright page objects or Cypress intercepts. Frontend devs building E2E flows in Cursor, or backend teams needing k6 performance patterns in Aider. Skip if you're not using AI agents for testing.

Verdict

Grab it if you're in QA with AI agents—CLI delivers quick wins despite 26 stars and 1.0% credibility signaling early days. Docs are solid via qaskills.sh/getting-started, but watch for broader adoption before production pipelines.

(187 words)

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