# winagent

> winagent — zyydi1959-winagent-lite. Use this tool when you need to automate interactions with desktop software or simulate user input for testing and training purposes. The winagent enables AI platforms to interact with screens through mouse clicks, text input, and key presses, allowing for scripted scenario execution and automation of tasks. It is ideal for use cases where AI needs to operate desktop applications, such as data entry, software testing, and robotic process automation.

Canonical page: https://skillsregistry.net/skills/zyydi1959-winagent-lite  
JSON: https://api.skillsregistry.net/v1/skills/zyydi1959-winagent-lite

## Description

Enables MCP-compatible AI platforms to see the screen and operate any desktop software through real mouse clicks, text input, key presses, and scripted scenario execution.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gp6kl6uqpa)
- **Repository:** <https://github.com/ZYYDI1959/winagent-lite>

## 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": "zyydi1959-winagent-lite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zyydi1959-winagent-lite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zyydi1959-winagent-lite/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