Search Agent Skills for Claude Desktop

Explains hybrid search in Qdrant — combining keyword and semantic search, sparse plus dense vectors, and fusing results from multiple…

Discover and list all URLs on a website without extracting content, via the Tavily CLI.

Search the web with LLM-optimized results via the Tavily CLI, with domain filtering, time ranges, and multiple search depths.

RAG Builder with Parallel Document Processing Vector database construction with local embeddings (zero cost) Handles PDF download, text…

High-performance vector similarity search engine for RAG and semantic search.

Diagnoses and fixes slow Qdrant indexing and data ingestion — stuck optimizers, long HNSW build times, and segments that will not merge.

Expert in building Retrieval-Augmented Generation systems.

RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and…

Query expansion, HyDE, and multi-query generation for improved retrieval

Automate Remote Retrieval tasks via Rube MCP (Composio).

Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP…

Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace…

Guide developers through integrating the OpenRAG SDK into applications with code examples, configuration, and best practices

Expert in vector databases, embedding strategies, and semantic search implementation.

Generate embeddings via npx ruvector@0.2.25 embed text (ONNX all-MiniLM-L6-v2, 384-dim), normalize, and store in HNSW index

Embed hierarchical data via npx ruvector@0.2.25 embed text and project into the Poincare ball in user code (no --model poincare flag in…

Guide to selecting and optimizing embedding models for vector search applications.

Combines search results from multiple sources into coherent, deduplicated answers with source attribution.

Hybrid search combining semantic and keyword retrieval for RAG pipelines.

Cross-encoder reranking and MMR diversity filtering for improved retrieval quality

Intent-based search router with trust scoring.