Best vector databases skills for Claude Code, Codex and other agents.

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs

Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.

giancarloerra/SocratiCode

Update LanceDB to a specific Lance release or tag. An agent skill from lancedb/lancedb.

lancedb/lancedb

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts.

giancarloerra/SocratiCode

TRIGGER when working with ai-sdk which is Laravel official first-party AI SDK.

trypostit/trypost

Stores, searches, and retrieves successful patterns with HNSW-indexed semantic search so agents can reuse past solutions instead of relearning them.

ruvnet/ruflo

Guide to using and contributing cognee community packages: database adapters, data-source connectors, custom tasks and retrievers, and Keywords AI observability.

topoteretes/cognee

Sets up FAISS for fast nearest-neighbor search over large collections of dense vectors, choosing between Flat, IVF, HNSW and product quantization indexes.

Orchestra-Research/AI-Research-SKILLs

Python guidance for the Azure AI Search SDK covering vector, hybrid and semantic search, index management and indexers, with Entra ID authentication preferred over keys.

microsoft/skills

Comprehensive guide for building Agentic RAG systems using Microsoft Agent Framework in C.

shuyu-labs/WebCode

Builds a retail product search agent on Google Cloud, from catalog ingestion into BigQuery and Vector Search to ADK scaffolding, evaluation and Cloud Run deployment.

google/adk-recipes

A skill your agent uses for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search.

timescale/pg-aiguide

Persistent memory enhancement for AI agents. An agent skill from sopaco/cortex-mem.

sopaco/cortex-mem

Install and configure Mnemosyne as a Hermes Agent memory provider — local SQLite with vector search, episodic consolidation, and temporal knowledge graphs.

mnemosyne-oss/mnemosyne

Builds AI agents on the Convex agent component: threads, messages, tools that call queries and mutations, streaming, RAG with vector search, and workflows for multi step jobs.

waynesutton/builder-skills

Search, query, and manage Weaviate vector database collections.

weaviate/agent-skills

Writes and rewrites public-facing product documentation with a semi-technical tone, ASD-STE100 Simplified Technical English, clear structure, and careful disclosure.

surrealdb/docs.surrealdb.com

Shows how to use Pinecone, a managed vector database, for production RAG, semantic search and recommendations: indexes, upserts, queries, filters and namespaces.

Orchestra-Research/AI-Research-SKILLs

Guides and best practices for working with Lakebase Postgres, the database behind Neon.

usenotra/notra

A skill your agent uses when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, "use the OpenAI API", "call the Stripe API", "use the…

sudomakes/backroad

Explains how to run Qdrant, a Rust vector database, for RAG and semantic search, covering collections, points, distance metrics and filtered or batched queries.

Orchestra-Research/AI-Research-SKILLs

Use FlowFlow spaces safely through their scoped MCP server. An agent skill from mirkobozzetto/flowflow.

mirkobozzetto/flowflow

Structured memory capture for Ogham shared memory. An agent skill from ogham-mcp/ogham-mcp.

ogham-mcp/ogham-mcp

Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.

qdrant/skills

Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step.

Jeffallan/claude-skills

Invoke ML models, run vector search, and connect to MCP servers from Databricks Apps.

databricks-solutions/databricks-apps-cookbook

Run or troubleshoot Valkey Search C++ and Python integration tests, including focused development runs, full-suite verification, and packaging/build or runtime failure classification.

valkey-io/valkey-search

Diagnose, troubleshoot, and advise on any Qdrant deployment by loading the latest official Qdrant skills live from skills.qdrant.tech.

qdrant/skills

Explains how cognee's two migration chains run, how to check and repair migration state with cognee-cli, and how to write new Alembic or graph and vector migrations.

topoteretes/cognee

Core operations for HyperspaceDB — a multi-geometry vector database.

YARlabs/hyperspace-db

Guides Qdrant deployment selection. An agent skill from qdrant/skills.

qdrant/skills

Mem0 memory bridge for AI Girlfriend — search/read/write long-term memories from Qdrant vector DB.

momori777/Artemis

A skill your agent uses to implement hybrid search combining BM25 keyword search with semantic vector search using Reciprocal Rank Fusion (RRF).

timescale/pg-aiguide

Design, refactor and diagnose Paro's staged optimizer, using EXPLAIN COMPILE for planning and EXPLAIN ANALYZE for execution.

zunor/paro

Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data.

davila7/claude-code-templates

Guides Qdrant search strategy selection. An agent skill from qdrant/skills.

qdrant/skills

Covers distance metrics, index types and tuning for similarity search on vector databases, from semantic search to RAG retrieval.

wshobson/agents

Find open valkey-search pull requests that have not been updated in more than 30 days.

valkey-io/valkey-search

Build retrieval-augmented generation systems: pick a vector database and embedding model, choose retrieval and reranking strategies, and start from a LangGraph pipeline.

wshobson/agents

Tune vector indexes for latency, recall and memory: pick an index type by data size, adjust HNSW parameters and choose a quantization level.

wshobson/agents

Diagnoses and guides Qdrant horizontal scaling decisions. An agent skill from qdrant/skills.

qdrant/skills

A skill your agent uses when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools.

agentfront/frontmcp

Framework for building LLM-powered applications with agents, chains, and RAG.

Orchestra-Research/AI-Research-SKILLs

Admin and maintenance workflows for Ogham shared memory. An agent skill from ogham-mcp/ogham-mcp.

ogham-mcp/ogham-mcp

Read this before writing any RavenDB query, client call or /databases/ request.

ravendb/docs

Walks through turning on semantic search in Open Second Brain: embedding key, sqlite-vec extension, first reindex and an optional periodic refresh, starting from o2b search check.

itechmeat/open-second-brain

Build and query a local vector database + GraphRAG over your entire reference library (Zotero or a PDF folder) for literature review.

joshzyj/open-scholar-skill

Diagnoses and fixes slow Qdrant indexing and data ingestion.

qdrant/skills