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image-vision Skill

AI Agent SkillDesign & MediaPythonOpen source

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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
26/100

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

Copy skill directory
  • 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

PythonCopy skill directory

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

Explore related resources

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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Stars
10
Forks
9
Last commit
9 days ago
Repository age
5 months
License
MIT

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