How do I install the Awt E2e Testing skill?

Run npx skillmds@latest add arjumaan/awt-e2e-testing in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Awt E2e Testing safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: makes network calls. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Awt E2e Testing?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Awt E2e Testing free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Awt E2e Testing?

Arjumaan (@arjumaan) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Awt E2e Testing by arjumaan — Agent Skill

Name: Awt E2e Testing
Rating: 4.2 (5 reviews)
Author: Arjumaan

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

Arjumaan Updated Sep 9, 2026 1 repo stars

File contents

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

Limitations

Use this skill only when the task clearly matches the scope described above.
Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

---name: awt-e2e-testingdescription: 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. ## 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 of AI coding tools — and designed to help AI coding tools test better. Actively developed by a solo developer at AILoopLab. Feedback welcome! ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Frequently asked questions