# End-to-End-Agentic-AI-Workflow-for-QA-Automation-Testing-with-Playwright-MCP

> End-to-End-Agentic-AI-Workflow-for-QA-Automation-Testing-with-Playwright-MCP — avijitchowdhury-end-to-end-agentic-ai-workflow-for-qa-automation-testing-with-playwright-mcp. Use this tool when you need to automate testing of complex web applications, such as e-commerce checkout workflows, to validate user interactions and identify errors. It solves problems like manual testing inefficiencies and limited test coverage, by providing an end-to-end testing framework with inputs like user credentials and product selections, and outputs like test results and error reports. It is ideal for use cases involving multi-step workflows, form validation, and navigation flow testing, with integration into git for version control.

Canonical page: https://skillsregistry.net/skills/avijitchowdhury-end-to-end-agentic-ai-workflow-for-qa-automation-testing-with-playwright-mcp  
JSON: https://api.skillsregistry.net/v1/skills/avijitchowdhury-end-to-end-agentic-ai-workflow-for-qa-automation-testing-with-playwright-mcp

## Description

The framework validates the complete SauceDemo checkout workflow:  - User Login - Product Selection - Shopping Cart - Checkout Information - Checkout Overview - Order Completion - Form Validation - Navigation Flow - Negative Scenarios

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/AvijitChowdhury/End-to-End-Agentic-AI-Workflow-for-QA-Automation-Testing-with-Playwright-MCP)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "avijitchowdhury-end-to-end-agentic-ai-workflow-for-qa-automation-testing-with-playwright-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avijitchowdhury-end-to-end-agentic-ai-workflow-for-qa-automation-testing-with-playwright-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avijitchowdhury-end-to-end-agentic-ai-workflow-for-qa-automation-testing-with-playwright-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt