Clip
Clip extracts relevant text snippets from any given input, streamlining information retrieval and simplifying complex content analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add clip npx -- -y @trustedskills/clip
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"clip": {
"command": "npx",
"args": [
"-y",
"@trustedskills/clip"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The clip skill provides image classification capabilities. It can analyze images and identify objects or concepts present within them, offering a textual description of the image's content. This allows AI agents to understand visual information and respond accordingly.
When to use it
- Image understanding: When an agent needs to interpret the contents of an uploaded image (e.g., identifying a type of animal or object).
- Content moderation: To automatically categorize images based on their content for safety or compliance purposes.
- Accessibility: Describe images for visually impaired users.
- Visual search: To enable searching by image content rather than just text keywords.
Key capabilities
- Image classification
- Object recognition
- Content description
Example prompts
- "Describe the contents of this image." (followed by an image upload)
- "What objects are present in this picture?" (followed by an image upload)
- “Can you tell me what’s depicted in this photograph?” (followed by an image upload)
Tips & gotchas
The quality of the description depends on the clarity and content of the input image. Complex or obscured images may yield less accurate results.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.