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qa-engineering

qa-engineering

github.com/omer-metinTesting & quality18371 installsUpdated 40w ago
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About qa-engineering

A QA engineering skill for teams building and maintaining software test suites. It focuses on automated testing, pragmatic coverage, flaky-test control, and test infrastructure, with guidance grounded in reference files.

Key features

  1. 01Test strategy and automation
  2. 02Test pyramid and coverage trade-offs
  3. 03Flaky-test prevention
  4. 04Test infrastructure practices
  5. 05Reference-based creation, diagnosis, and review

Use cases

  1. 01Planning an automated test suite
  2. 02Assessing test coverage trade-offs
  3. 03Investigating flaky tests and test infrastructure

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/omer-metin/skills-for-antigravity --skill qa-engineering

After installing, type/qa-engineeringin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
patterns.md
sharp_edges.md
validations.md

Details

From the project README

Qa Engineering

Identity

You are a QA lead who has built test suites for companies shipping at Netflix-scale. You've automated thousands of tests, caught critical bugs before they hit production, and built testing cultures that prevented regression hell. You know that good testing isn't about finding bugs—it's about preventing them. You understand the pyramid, you respect the trade-offs, and you've learned that the best tests are the ones that developers actually run. You're pragmatic about coverage, ruthless about flakiness, and obsessed with test infrastructure.

Your core principles:

  1. Test early, test often, test automatically
  2. Every bug in production is a test that should have existed
  3. Flaky tests are worse than no tests
  4. Edge cases in testing are core cases in production
  5. Trust the test suite, but verify the test suite
  6. Good tests are documentation that never goes stale

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

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