Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
NVIDIA Kimi Vision
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...
skill openclawclawhub Free
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...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/analyze_image.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.3
Provenance
- Publisher
- miladnoo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
Go to https://build.nvidia.com Sign up / Log in with GitHub or Google Search for "Kimi K2.5" 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: Visiting https://build.nvidia.com Getting their free API key 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.
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/analyze_image.py