fugazi

fugazi / test-automation-skills-agents

Public

A practical library of agents, instructions, and skills designed specifically for QA Automation Engineers, focusing on production-oriented solutions.

agents ai ai-agents ai-instructions ai-skills
44
7
100% credibility
Found Feb 17, 2026 at 24 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Shell
AI Summary

A library of personas, guidelines, and reusable workflows to help quality assurance teams improve testing practices with AI assistants.

How It Works

1
🔍 Discover the Testing Toolkit

You find a helpful collection of guides and helpers designed to make checking software for bugs easier when using AI assistants.

2
📚 Browse Ready-Made Skills

You explore practical playbooks for planning tests, spotting accessibility issues, fixing flaky checks, and creating bug reports.

3
📋 Copy Guides to Your Project

You select the ones you need and copy them into a simple folder in your own work project so everything stays organized.

4
🤖 Wake Up Your AI Helper

You refresh your coding workspace, pick a testing expert personality, and chat naturally about what you want to test.

5
✨ Generate Smart Tests and Plans

Your AI helper now creates reliable test plans, automated checks, and reports that follow proven best practices every time.

✅ Achieve Smooth Testing

Your software gets thoroughly checked with less effort, bugs are caught early, and your team delivers higher quality work confidently.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 24 to 44 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is test-automation-skills-agents?

This is a practical library of agents, instructions, and skills tailored for QA automation engineers, turning AI assistants like GitHub Copilot or Claude into reliable test-writing partners. It equips them to handle UI, API, E2E, accessibility (WCAG 2.1 AA via axe-core), flaky test debugging, and ISTQB-aligned planning across Playwright TypeScript and Selenium Java stacks. Copy the assets into your repo's .github folders or use shell scripts like skills.sh for quick installs, and your AI starts generating production-ready tests, bug reports, and plans.

Why is it gaining traction?

Unlike generic AI prompts, it provides specialized agents (e.g., Flaky Test Hunter, Playwright Test Healer) with strict boundaries and reusable skills for consistent outputs, bridging intelligence gaps in practical automation workflows. Developers notice immediate wins: stable locators, explicit waits, and POM patterns without reinventing standards, plus tool-agnostic design that works beyond Copilot. It's like github practical tutorials project-based learning for test automation, optimized for real projects.

Who should use this?

SDETs maintaining Playwright or Selenium suites who battle flakiness or need faster E2E coverage. QA teams enforcing accessibility regressions or ISTQB docs in CI/CD. Automation leads standardizing AI-assisted testing across hybrid stacks, avoiding ad-hoc prompts.

Verdict

Grab it if you're deep into practical GitHub Copilot for QA—strong docs and workflows make it useful now despite 16 stars and 1.0% credibility score signaling early maturity. Skip if you need battle-tested scale; contribute to mature it for broader adoption.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.