Semantic search using vector embeddings and similarity metrics. Apply when implementing search with embeddings (OpenAI, Sentence Transformers) or distance-based ranking. Covers cosine similarity, Euclidean distance, dot product, and threshold selection.
Key Features
- Comprehensive skill evaluation and performance tracking
- Community-driven ratings and reviews
- Easy integration with Claude Code
- Regular updates and maintenance
Quick Start
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Skill Details
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Created
Jan 2026
Last Updated
5个月前
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tools llm ai
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