awt-e2e-testing

AI-powered E2E web testing — declarative YAML scenarios run via Playwright with visual matching (OpenCV + OCR) and framework auto-detection. USE WHEN you need AI-driven browser end-to-end tests without brittle DOM selectors.

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Repository: Sheshiyer/skill-clusters
Last source activity: June 5, 2026 at 17:21
Detected SKILL.md language: English
Stars: 0
Forks: 1

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Arcplume runs Grok through the Grok Build CLI's own OAuth-authenticated session (grok login) for image generation, with strict preflight validation, secret-safe handling, and headless CLI-driven execution -- no separate XAI_API_KEY billing. Video falls back to the billed xAI API. USE WHEN a user wants to generate an image via a locally logged-in Grok Build CLI session, e.g. 'generate an image with grok', 'use grok build', or 'use my logged-in grok session'.

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Shared reference for the Selemene cluster: the two report surfaces (deterministic Rust reports vs. narrative witness-pipeline readings), the @selemene/bridge CLI contract, the output manifest format, and non-prescriptive witnessing tone. USE WHEN deciding which Selemene surface to invoke or when routing between birth/compatibility/transit reports and solo/dyadic readings.

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Route Selemene Engine tasks to the right surface: deterministic reports (birth/compatibility/transit) via selemene-core and the @selemene/bridge CLI, or narrative witness readings via selemene-report. USE WHEN the user wants anything under the Selemene/Noesis umbrella but has not named the exact surface.

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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

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.

name	awt-e2e-testing
description	AI-powered E2E web testing — declarative YAML scenarios run via Playwright with visual matching (OpenCV + OCR) and framework auto-detection. USE WHEN you need AI-driven browser end-to-end tests without brittle DOM selectors.
cluster	frontend-web
version	1.0.0
origin	antigravity-awesome-skills (MIT)
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

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.

awt-e2e-testing

Source facts

Install options

Review the source files

More from this repository

More from this repository

AWT — AI-Powered E2E Testing (Beta)

When to Use

What works now

Links

Limitations

AWT — AI-Powered E2E Testing (Beta)

When to Use

What works now

Links

Limitations