# AutoFlow

> Use this tool when you need to automate repetitive Windows desktop tasks or interact with legacy applications that lack API support. AutoFlow solves problems such as data entry, screen scraping, and workflow automation by visually recognizing screen elements and simulating user actions. It takes visual inputs from the screen and outputs simulated keyboard and mouse actions, ideal for use cases where robotic process automation (RPA) is required.

Canonical page: https://skillsregistry.net/skills/66maer-autoflow  
JSON: https://api.skillsregistry.net/v1/skills/66maer-autoflow

## Description

AutoFlow enables AI agents to automate Windows desktop tasks by visually recognizing screen elements and simulating keyboard and mouse actions, with 18 MCP tools for workflow control.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cf4vh3hda7)
- **Repository:** <https://github.com/66maer/AutoFlow>

## 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": "66maer-autoflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/66maer-autoflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/66maer-autoflow/pull`

---
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