# mimo-vision

> mimo-vision — channel-carl-mimo-vision. Use this tool when you need to analyze and compare local images, or inspect UI elements to guide frontend development. It provides visual capabilities by processing images via Xiaomi MiMo-V2.5, enabling image analysis and comparison. Ideal for use cases requiring automated image inspection and UI validation, with inputs of local images and outputs of analysis results.

Canonical page: https://skillsregistry.net/skills/channel-carl-mimo-vision  
JSON: https://api.skillsregistry.net/v1/skills/channel-carl-mimo-vision

## Description

Provides Claude Code with visual capabilities by analyzing local images via Xiaomi MiMo-V2.5, enabling image analysis, comparison, and UI inspection to guide frontend development.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/grng2sd482)
- **Repository:** <https://github.com/Channel-Carl/mimo-vision>

## 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": "channel-carl-mimo-vision"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/channel-carl-mimo-vision` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/channel-carl-mimo-vision/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