diff --git a/skills/awt-e2e-testing/SKILL.md b/skills/awt-e2e-testing/SKILL.md new file mode 100644 index 00000000..d57ddc60 --- /dev/null +++ b/skills/awt-e2e-testing/SKILL.md @@ -0,0 +1,28 @@ +--- +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" +--- + +# 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. + +## 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 of AI coding tools — and designed to help AI coding tools test better. + +Actively developed by a solo developer at AILoopLab. Feedback welcome!