How do I install the Awt E2e Testing skill?

Run npx skillmds@latest add techwavedev/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. 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?

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

Awt E2e Testing by techwavedev — Agent Skill

Name: Awt E2e Testing
Rating: 4.5 (4 reviews)
Author: techwavedev

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

techwavedev Updated Sep 10, 2026

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.

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

🧠 AGI Framework Integration

Adapted for @techwavedev/agi-agent-kit Original source: antigravity-awesome-skills

Qdrant Memory Integration

Before executing complex tasks with this skill:

python3 execution/memory_manager.py auto --query "<task summary>"

Cache hit? Use cached response directly — no need to re-process.
Memory match? Inject context_chunks into your reasoning.
No match? Proceed normally, then store results:

python3 execution/memory_manager.py store \\
  --content "Description of what was decided/solved" \\
  --type decision \\
  --tags awt-e2e-testing <relevant-tags>

Agent Team Collaboration

This skill can be invoked by the orchestrator agent via intelligent routing.
In Agent Teams mode, results are shared via Qdrant shared memory for cross-agent context.
In Subagent mode, this skill runs in isolation with its own memory namespace.

Local LLM Support

When available, use local Ollama models for embedding and lightweight inference:

Embeddings: nomic-embed-text via Qdrant memory system
Lightweight analysis: Local models reduce API costs for repetitive patterns

---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.## 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.appBuilt 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!---## 🧠 AGI Framework Integration> **Adapted for [@techwavedev/agi-agent-kit](https://www.npmjs.com/package/@techwavedev/agi-agent-kit)**> Original source: [antigravity-awesome-skills](https://github.com/sickn33/antigravity-awesome-skills)### Qdrant Memory IntegrationBefore executing complex tasks with this skill:```bashpython3 execution/memory_manager.py auto --query "<task summary>"```- **Cache hit?** Use cached response directly — no need to re-process.- **Memory match?** Inject `context_chunks` into your reasoning.- **No match?** Proceed normally, then store results:```bashpython3 execution/memory_manager.py store \\ --content "Description of what was decided/solved" \\ --type decision \\ --tags awt-e2e-testing <relevant-tags>```### Agent Team Collaboration- This skill can be invoked by the `orchestrator` agent via intelligent routing.- In **Agent Teams mode**, results are shared via Qdrant shared memory for cross-agent context.- In **Subagent mode**, this skill runs in isolation with its own memory namespace.### Local LLM SupportWhen available, use local Ollama models for embedding and lightweight inference:- Embeddings: `nomic-embed-text` via Qdrant memory system- Lightweight analysis: Local models reduce API costs for repetitive patterns

Frequently asked questions