Swift Observation
Quickly identifies and extracts key UI elements and data from webpages for automated testing and analysis.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add swift-observation npx -- -y @trustedskills/swift-observation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"swift-observation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/swift-observation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The swift-observation skill allows an AI agent to quickly and efficiently analyze visual data. It can identify key elements within images, extract relevant information, and provide concise summaries of observed details. This capability is particularly useful for tasks requiring rapid assessment of visual content.
When to use it
- Image Categorization: Automatically classify images based on their contents (e.g., "landscape," "portrait," "product").
- Object Detection in Screenshots: Identify and label objects within a screenshot, such as buttons or text fields.
- Visual Data Summarization: Provide a brief description of the key elements present in an image for accessibility purposes.
- Content Moderation Assistance: Flag potentially inappropriate content based on visual cues.
Key capabilities
- Image analysis
- Object identification
- Concise summarization
- Screenshot assessment
Example prompts
- "Describe what's visible in this screenshot."
- "What objects can you identify in this image?"
- "Categorize this image and provide a short description."
Tips & gotchas
The skill requires access to an image URL or file. Performance may vary depending on the complexity of the image and the number of objects present.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.