image-vision Skill
Analyze images using LLM vision APIs (Anthropic Claude, OpenAI GPT-4, Google Gemini, Azure OpenAI). Use when tasks require: (1) Understanding image content, (2) Describing visual elements, (3) Answering questions about images, (4) Comparing images, (5) Extracting text from images (OCR). Provides ready-to-use scripts - Published by microsoft in amplifier-bundle-skills.
What is image-vision Skill?
Analyze images using LLM vision APIs (Anthropic Claude, OpenAI GPT-4, Google Gemini, Azure OpenAI). Use when tasks require: (1) Understanding image content, (2) Describing visual elements, (3) Answering questions about images, (4) Comparing images, (5) Extracting text from images (OCR). Provides ready-to-use scripts - Published by microsoft in amplifier-bundle-skills. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Design and media
- Data analysis use cases
- Design and media use cases
Technical details
- Install or run with Copy skill directory
When to use image-vision Skill
- Use it for data analysis.
- Use it for design and media.
Built with
Editorial notes
Source
- Creator: microsoft
- Repository: microsoft/amplifier-bundle-skills
- Skill file: skills/image-vision/SKILL.md
What it does
Analyze images using LLM vision APIs (Anthropic Claude, OpenAI GPT-4, Google Gemini, Azure OpenAI). Use when tasks require: (1) Understanding image content, (2) Describing visual elements, (3) Answering questions about images, (4) Comparing images, (5) Extracting text from images (OCR). Provides ready-to-use scripts -
Skill instructions
Image Vision Analysis Overview Analyze images using state-of-the-art LLM vision models. Use the provided scripts for most tasks - custom code only needed for advanced scenarios. Workflow Decision Tree First time using this skill? → Read setup.md for one-time environment and API key setup Simple image analysis (most common) → Use "Quick Start" canned scripts below Batch processing or multi-turn conversations → Read patterns.md for advanced patterns Something failing? → Check setup.md for troubleshooting Quick Start (Use Wrapper Scripts) ALWAYS use the wrapper scripts - they handle venv setup automatically: bash Simple analysis (auto-creates venv on first use) ./vision-analyze.sh <provider <imagepath <prompt Robust analysis (auto-fallback if provider times out) ./vision-analyze-robust.sh <imagepath <prompt [timeoutseconds] The wrapper scripts automatically: - Create venv if it doesn't exist - Install required SDKs - Use venv Python (no manual activation needed) - Handle errors gracefully
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Frequently asked questions
What is image-vision?
image-vision is a open-source AI agent skill with Copy skill directory. Analyze images using LLM vision APIs (Anthropic Claude, OpenAI GPT-4, Google Gemini, Azure OpenAI).
Who is image-vision best for?
image-vision is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.
How do I install image-vision?
Install or run image-vision using Copy skill directory. Check image-vision for the latest setup command.
Is image-vision actively maintained?
image-vision may need a closer maintenance check before production use.
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