Individual skill
multimodal-clip
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
skills-imported/multimodal-clip/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
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- No
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- No
- Observed behavior
- Instructions only
- Last checked
- Nov 8, 2026
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Repository context
- Repository stars (not skill ratings)
- 53
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- multimodal Declared skill tag
- clip Declared skill tag
- vision-language Declared skill tag
- zero-shot Declared skill tag
- image-classification Declared skill tag
- openai Declared skill tag
- image-search Declared skill tag
- cross-modal-retrieval Declared skill tag
- content-moderation Declared skill tag
- writing Derived category
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# CLIP - Contrastive Language-Image Pre-Training
OpenAI's model that understands images from natural language.
## When to use CLIP
**Use when:**
- Zero-shot image classification (no training data needed)
- Image-text similarity/matching
- Semantic image search
- Content moderation (detect NSFW, violence)
- Visual question answering
- Cross-modal retrieval (image→text, text→image)
