Agent skill · Testing & QA

awt-e2e-testing

AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g

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claude-codecodexcursorMIT
Install
npx skills add sickn33/agentic-awesome-skills --skill awt-e2e-testing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 2 KB
Bundled scripts: none
Path: skills/awt-e2e-testing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 44,414 · +328 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AWT — AI-Powered E2E Testing (Beta) > `npx skills add ksgisang/awt-skill --skill awt -g` AWT gives AI coding tools the ability to see and interact with web applications through a real browser. Your AI designs YAML test scenarios; AWT executes them with Playwright. ## When to Use - You need AI-assisted end-to-end testing through a real browser with declarative YAML scenarios. - The test flow depends on visual matching, OCR, or platform auto-detection instead of stable DOM selectors. - You want an E2E toolchain that can both execute tests and explain failures for AI coding workflows. ## What works now - YAML scenarios → Playwright with human-like interaction - Visual matching: OpenCV template + OCR (no CSS selectors needed) - Platform auto-detection: Flutter, React, Next.js, Vue, Angular, Svelte - Structured failure diagnosis with investigation checklists - Learning DB: failure→fix patterns in SQLite - 5 AI providers: Claude, OpenAI, Gemini, DeepSeek, Ollama - Skill Mode: no extra AI API key needed ## Links - Main repo: https://github.com/ksgisang/AI-Watch-Tester - Skill repo: https://github.com/ksgisang/awt-skill - Cloud demo: https://ai-watch-tester.vercel.app Built with the help

What's inside
Steps it walks through
  1. When to Use
  2. What works now
  3. Links
  4. Limitations
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About this skill
What does the awt-e2e-testing skill do?

AI-powered E2E web testing — eyes and hands for AI coding tools. Declarative YAML scenarios, Playwright execution, visual matching (OpenCV + OCR), platform auto-detection (Flutter/React/Vue), learning DB. Install: npx skills add ksgisang/awt-skill --skill awt -g

How do I install it?

Run `npx skills add sickn33/agentic-awesome-skills --skill awt-e2e-testing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From sickn33/agentic-awesome-skills, a repository with 44,414 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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