Openai Image Vision
Helps with OpenAI, image processing as part of building AI and machine learning applications workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add openai-image-vision npx -- -y @trustedskills/openai-image-vision
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"openai-image-vision": {
"command": "npx",
"args": [
"-y",
"@trustedskills/openai-image-vision"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to process and analyze images using OpenAI's Vision capabilities. It allows the agent to interpret visual data, identifying objects, text, and scenes within uploaded files or URLs.
When to use it
- Analyzing screenshots of error logs to diagnose software issues.
- Extracting data from scanned documents, invoices, or handwritten notes.
- Describing complex diagrams or charts found in PDF reports.
- Identifying visual elements in photos for content moderation or tagging.
Key capabilities
- Processes images provided via direct file uploads.
- Interprets visual content using OpenAI's vision models.
- Generates descriptive text and insights based on image analysis.
- Supports various image formats commonly used in digital workflows.
Example prompts
- "Analyze this screenshot of the dashboard and list any visible error messages."
- "Extract all contact information from this scanned business card image."
- "Describe the key components shown in this architectural diagram."
Tips & gotchas
Ensure images are clear and well-lit to maximize analysis accuracy. The skill relies on OpenAI's underlying vision model, so performance may vary based on image resolution and complexity.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.