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
Best for AI coding tool workflowsWorks with GitHubLow risk
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@sickn33- language
- Python
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Apr 18, 2026
✦overview.md
Key Features
- ·Declarative YAML test scenarios
- ·Playwright execution with human-like interaction
- ·Visual matching via OpenCV and OCR
- ·Platform auto-detection for Flutter/React/Vue/Angular/Svelte
- ·Structured failure diagnosis with investigation checklists
- ·Learning database for failure-fix patterns
Use Cases
- →AI-assisted end-to-end testing through a real browser
- →Testing flows that depend on visual matching or OCR instead of stable DOM selectors
- →E2E toolchain that executes tests and explains failures for AI coding workflows
Best for
- ✓AI coding tool workflows
- ✓Visual/OCR-based testing scenarios
- ✓Multi-platform web applications
Not ideal for
- !Unit or integration testing
- !Projects requiring traditional CSS selector-based testing
FAQs
name
awt-e2e-testing
description
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
risk:unknown
source:https://github.com/ksgisang/awt-skill
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
$install
1-click copynpx skills add sickn33/antigravity-awesome-skills --skill awt-e2e-testingSafety assessment
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Clarity score
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5/ 5
excellentVery clear and well structured, with almost no room for misunderstanding.
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5/ 5
very highHighly actionable with clear, concrete steps that an agent can follow directly.