# nvidia-kimi-vision

> nvidia-kimi-vision — miladnoo-nvidia-kimi-vision. Use this tool when you need to analyze images using a powerful vision model, solving problems such as object detection, image classification, and scene understanding. It takes image files as input and outputs analysis results via the NVIDIA NIM API. Ideal for applications requiring accurate image analysis, such as autonomous systems, surveillance, and robotics.

Canonical page: https://skillsregistry.net/skills/miladnoo-nvidia-kimi-vision  
JSON: https://api.skillsregistry.net/v1/skills/miladnoo-nvidia-kimi-vision

## Description

Analyze images using NVIDIA Kimi K2.5 vision model via NVIDIA NIM API.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/miladnoo-nvidia-kimi-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": "miladnoo-nvidia-kimi-vision"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/miladnoo-nvidia-kimi-vision` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/miladnoo-nvidia-kimi-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