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Web & Frontend Development @miladnoo Updated 6/28/2026 1,545 downloads 0 stars Security: Pass

Nvidia Kimi Vision OpenClaw Plugin & Skill | ClawHub

Looking to integrate Nvidia Kimi Vision into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate web & frontend development tasks instantly, without having to write custom tools from scratch.

What this skill does

Analyze images using NVIDIA Kimi K2.5 vision model via NVIDIA NIM API. Perfect for adding vision to non-vision models like MiniMax M2.5, GLM-5, or any model without native image support. Supports png, jpg, jpeg, webp.

Install

ClawHub CLI
openclaw skills install @miladnoo/nvidia-kimi-vision
Node.js (npx)
npx clawhub@latest install nvidia-kimi-vision

Full SKILL.md

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nvidia-kimi-visionAnalyze images using NVIDIA Kimi K2.5 vision model via NVIDIA NIM API. Perfect for adding vision to non-vision models like MiniMax M2.5, GLM-5, or any model without native image support. Supports png, jpg, jpeg, webp.

SKILL.md content below is scrollable.

NVIDIA Kimi Vision

Fast image analysis using Kimi K2.5 multimodal model from NVIDIA NIM.

Why This Skill?

  • Fast - NVIDIA NIM inference
  • Quality - Kimi K2.5 is a solid vision model
  • Simple - Just pass an image and prompt
  • Free tier - Available through NVIDIA build.nvidia.com

API Setup (IMPORTANT)

When using this skill, if no API key is found, it will automatically guide the user through setup:

Step 1: Get a Free API Key

  1. Go to https://build.nvidia.com
  2. Sign up / Log in with GitHub or Google
  3. Search for "Kimi K2.5"
  4. Click on the model and get your free API key

Step 2: Save the Key

# Option A: Save to file (recommended)
mkdir -p ~/.config
echo 'your-api-key-here' > ~/.config/nvidia-kimi-api-key

# Option B: Pass directly when running
python3 scripts/analyze_image.py photo.jpg "What's this?" sk-your-key-here

First Time Setup (for agents)

When a user tries to use this skill without an API key, the script will output clear setup instructions. Guide them through:

  1. Visiting https://build.nvidia.com
  2. Getting their free API key
  3. Saving it to ~/.config/nvidia-kimi-api-key

Usage

python3 scripts/analyze_image.py <image_path> "<prompt>" [api_key]

Examples

# What's in this image?
python3 scripts/analyze_image.py "/path/to/image.jpg" "Describe what's in this image"

# Extract text from screenshot
python3 scripts/analyze_image.py "/path/screenshot.png" "Extract all text"

# Analyze a meme
python3 scripts/analyze_image.py "/path/meme.jpg" "Explain this meme"

# With API key inline
python3 scripts/analyze_image.py photo.jpg "What's this?" sk-xxxxx

Image Formats

Supports: png, jpg, jpeg, webp

Rate Limits

The free tier through NVIDIA NIM has some limits, but they're not clearly documented on the site. Check https://build.nvidia.com for the latest info on your specific key's limits.

ClawHub Registry URL: https://clawhub.ai/miladnoo/skills/nvidia-kimi-vision

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