openai-image-vision
Analyze images using OpenAI's Vision API. Use bash command to execute the vision script like 'bash <base_dir>/scripts/vision.sh <image> <question>'. Can understand image content, objects, text, colors, and answer questions about images.
npx skills add majiayu000/claude-skill-registry --skill openai-image-vision --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenAI Image Vision Analyze images using OpenAI's GPT-4 Vision API. The model can understand visual elements including objects, shapes, colors, textures, and text within images. ## Setup This skill requires an OpenAI API key. If not configured: 1. Get your API key from https://platform.openai.com/api-keys 2. Set the key using: `env_config(action="set", key="OPENAI_API_KEY", value="your-key")` Optional: Set custom API base URL (default: https://api.openai.com/v1): ```bash env_config(action="set", key="OPENAI_API_BASE", value="your-base-url") ``` ## Usage **Important**: Scripts are located relative to this skill's base directory. When you see this skill in `<available_skills>`, note the `<base_dir>` path. **CRITICAL**: Always use `bash` command to execute the script: ```bash # General pattern (MUST start with bash): bash "<base_dir>/scripts/vision.sh" "<image_path_or_url>" "<question>" [model] # DO NOT execute the script directly like this (WRONG): # "<base_dir>/scripts/vision.sh" ... # Parameters: # - image_path_or_url: Local image file path or HTTP(S) URL (required) # - question: Question to ask about the image (required) # - model: OpenAI model to use (default: gpt-4.1-mini) # O
- Setup
- Usage
- Examples
- Analyze a local image
- Analyze an image from URL
- Use specific model
- Extract text from image
- Analyze multiple aspects
- Supported Image Formats
- Response Format
- Notes
General pattern (MUST start with bash): bash "<base_dir>/scripts/vision.sh" "<image_path_or_url>" "<question>" [model] DO NOT execute the script directly like this (WRONG): bash "<base_dir>/scripts/vision.sh" "/path/to/image.jpg" "What's in this image?" bash "<base_dir>/scripts/vision.sh" "https://example.com/image.jpg" "Describe this image in detail" bash "<base_dir>/scripts/vision.sh" "/path/to/photo.png" "What colors are prominent?" "gpt-4o-mini" bash "<base_dir>/scripts/vision.sh" "/path/to/document.jpg" "Extract all text from this image" bash "<base_dir>/scripts/vision.sh" "image.jpg" "List all objects you can see and describe the overall scene"
What does the openai-image-vision skill do?
Analyze images using OpenAI's Vision API. Use bash command to execute the vision script like 'bash <base_dir>/scripts/vision.sh <image> <question>'. Can understand image content, objects, text, colors, and answer questions about images.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill openai-image-vision --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.