Skill

Automate Web E2E Tests with AI

AI-powered E2E testing: designs YAML test scenarios executed via Playwright, with visual matching and OCR.

Works with githubplaywrightopencvsqlite

81
Spark score
out of 100
Updated last month
Source checked Aug 13, 2026
Version 15.13.0
Models
claudegpt 4ogemini 1 5 prodeepseek v3

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Why it matters

Execute AI-designed YAML test scenarios in a real browser using Playwright. This skill enables AI coding tools to perform end-to-end testing with human-like interaction, visual matching, and OCR.

Outcomes

What it gets done

01

Translate YAML test scenarios into executable Playwright scripts.

02

Perform end-to-end testing using visual matching and OCR.

03

Auto-detect platforms like Flutter, React, Vue, and Angular.

04

Diagnose and explain test failures with investigation checklists.

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-awt-e2e-testing | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

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Overview

AWT - AI-Powered E2E Testing (Beta)

AI-powered end-to-end testing that lets an AI design YAML test scenarios executed via Playwright, using visual matching, OCR, and platform auto-detection instead of DOM selectors. Use it for AI-assisted E2E testing through a real browser when the test flow depends on visual matching, OCR, or platform auto-detection rather than stable DOM selectors.

What it does

Gives AI coding tools the ability to see and interact with web applications through a real browser: the AI designs YAML test scenarios and AWT executes them with Playwright, using human-like interaction. It matches UI elements visually via OpenCV template matching and OCR rather than requiring stable DOM selectors, auto-detects the platform (Flutter, React, Next.js, Vue, Angular, Svelte), produces structured failure diagnosis with investigation checklists, and learns failure-to-fix patterns in a SQLite database over time. It supports five AI providers - Claude, OpenAI, Gemini, DeepSeek, Ollama - and its Skill Mode needs no extra AI API key.

npx skills add ksgisang/awt-skill --skill awt -g

When to use - and when NOT to

Use it for AI-assisted end-to-end testing through a real browser with declarative YAML scenarios, when the test flow depends on visual matching, OCR, or platform auto-detection rather than stable DOM selectors, or when an E2E toolchain needs to both execute tests and explain failures for an AI coding workflow.

Inputs and outputs

Input: a YAML test scenario describing a web-app interaction. Output: a Playwright-executed test run, with structured failure diagnosis and an investigation checklist when it fails, and a growing SQLite learning database of failure-to-fix patterns.

Integrations

Runs on Playwright for browser execution and OpenCV plus OCR for visual matching, auto-detecting Flutter, React, Next.js, Vue, Angular, and Svelte frontends, and supports Claude, OpenAI, Gemini, DeepSeek, or Ollama as the underlying AI provider. It's currently in beta, actively developed by a solo developer at AILoopLab.

Who it's for

Developers who want AI coding tools to write and run real-browser E2E tests via declarative YAML, especially when DOM selectors are unstable or unavailable.

FAQ

Common questions

Discussion

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