# OmniFlow

> Use this tool when you need to automate interactions with Windows desktop applications that lack APIs or other automation interfaces. OmniFlow solves problems related to automating legacy or proprietary applications through window manipulation, image recognition, and simulation of user inputs. It takes in MCP protocol commands as input and outputs automated interactions with the target application, ideal for use cases where traditional automation methods are not feasible.

Canonical page: https://skillsregistry.net/skills/huppugo1-omniflow  
JSON: https://api.skillsregistry.net/v1/skills/huppugo1-omniflow

## Description

Enables AI clients to automate Windows desktop applications through window manipulation, image recognition, OCR, keyboard/mouse simulation, and memory operations via the MCP protocol.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dq0mx8t0l2)
- **Repository:** <https://github.com/huppugo1/OmniFlow>

## 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": "huppugo1-omniflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/huppugo1-omniflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/huppugo1-omniflow/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