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MCP servers and skills: search, filter by where they run, and compare.
MCP servers and skills: search, filter by where they run, and compare.
Vector database BM25 + dense hybrid search reranking engine
SkillLink only★ 9
Realtime search reranking & factual citation grounder (Perplexity / SearchGPT)
SkillLink only★ 8
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'BM25 or sparse vectors?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from
OfficialSkillMIT★ 40k in collectionNo key
Expanding the candidate pool via relevance feedback, as an alternative to reranking when a dense retriever is too weak. Use when someone asks about 'Qdrant's Relevance Feedback API', 'improving dense
OfficialSkillApache-2.0★ 256 in collectionNo key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillMIT★ 40k in collectionNo key
Guides Qdrant search strategy selection. Use when someone asks 'should I use hybrid search?', 'how to rerank?', 'results are not relevant', 'I don't get needed results from my dataset but they're ther
OfficialSkillApache-2.0★ 256 in collectionNo key
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid sear
OfficialSkillApache-2.0★ 21k in collectionNo key
Use when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillApache-2.0★ 256 in collectionNo key
Explains hybrid search in Qdrant. Use when someone asks 'how do I setup hybrid search?', 'how to combine keyword and semantic search?', 'sparse plus dense vectors?', 'missing keyword matches', 'how to
OfficialSkillApache-2.0★ 256 in collectionNo key
Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech. Use this whenever someone raises a Qdrant problem or question — s
OfficialSkillApache-2.0★ 256 in collectionNo key
On-device memory layer for AI agents. Claude Code, OpenClaw and Hermes. Hooks + MCP server + hybrid RAG search.
SkillMIT★ 212No key
Fast multi-model retrieval runtime: ONNX and GGUF embeddings, reranking, and a declarative model contract
SkillApache-2.0★ 2Few starsNo key
A lightweight local-first retrieval runtime for building RAG pipelines
SkillMIT★ 9No key
AI-powered personalized IELTS corpus distillation — install-only skill (zero-backend Agent loop) + runnable backend with QMD-RAG. 7-stage pipeline producing schema-validated corpus.json & static profi
SkillMIT★ 33No key
Enterprise RAG pipelines with native IRIS vector search. 6 production implementations with RAGAS evaluation, LangChain, AWS/Azure configs. No external VectorDB required.
SkillMIT★ 6No key
Agent skill that teaches LLMs to operate Milvus vector database using pymilvus — connection, collections, vector CRUD, search, hybrid search, full-text search, indexing, RBAC, and common patterns like
SkillApache-2.0★ 45No key
Worked out examples of applying TypeSafe AI Decision (Jev) models with Pinecone.
OfficialSkillLink only★ 2
A research harness for ML, built on the Claude Agent SDK. Claude Code with a literature funnel, a prediction ledger, and gates in front of every dollar.
SkillMIT★ 7No key
Agent skills for designing, training, evaluating and improving application-specific decision systems. Primitive/model selection, data assembly, export/reload and bounded hill climbing. TypeSafe Jev is
SkillMIT★ 12No key
⚡ Blazing-fast skill routing engine for AI coding agents. Discovers, indexes, and routes 300+ agent skills in <50ms. Supports Gemini/OpenAI embedding reranking.
SkillMIT★ 3Few starsNo key
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