# playwright-ui-automation-framework

> playwright-ui-automation-framework — tharunpathuri-playwright-ui-automation-framework. Use this tool when you need to automate web application testing, as it provides a framework for implementing and executing automated tests using Playwright with TypeScript. It solves problems related to manual testing, such as reducing testing time and increasing test coverage, by allowing users to write automated tests that interact with web pages. The framework takes in test scripts as input and outputs test results, making it ideal for use in continuous integration and continuous deployment (CI/CD) pipelines.

Canonical page: https://skillsregistry.net/skills/tharunpathuri-playwright-ui-automation-framework  
JSON: https://api.skillsregistry.net/v1/skills/tharunpathuri-playwright-ui-automation-framework

## Description

This repository contains an web test automation framework developed and tested by using Playwright with TypeScript for implementing and executing automated tests.

## Trust

- **Trust score (0–1):** 1.00
- **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/tharunpathuri/playwright-ui-automation-framework)

## 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": "tharunpathuri-playwright-ui-automation-framework"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tharunpathuri-playwright-ui-automation-framework` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tharunpathuri-playwright-ui-automation-framework/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