Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching".
Quickly install clip-aware-embeddings AI skill to your development environment via command line
Source: curiositech/some_claude_skills.
Smart image-text matching that knows when CLIP works and when to use alternatives.
| Firecrawl | Research latest CLIP alternatives and benchmarks | | Hugging Face (if configured) | Access model cards and documentation |
Why wrong: CLIP's architecture collapses spatial information into a single vector. It literally cannot count.
Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching". Source: curiositech/some_claude_skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/curiositech/some_claude_skills --skill clip-aware-embeddingsSemantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching". Source: curiositech/some_claude_skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/curiositech/some_claude_skills --skill clip-aware-embeddings Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/curiositech/some_claude_skills