pgvector agent skills for Claude Code, Codex and other agents.

Gives the agent Postgres rules to consult before writing or changing tables, queries, indexes, RLS policies or migrations, and when diagnosing slow queries.

supabase/agent-skills

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

github/awesome-copilot

Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless, express configuration, pgvector, Babelfish).

aws/agent-toolkit-for-aws

Runs the Cognee AI memory platform in Docker, from a one-file prebuilt image to a full compose stack with UI, MCP server, Postgres and Neo4j.

topoteretes/cognee

A skill your agent uses when the user mentions Nubase broadly, wants a backend for an AI-generated app, or needs to deploy/publish generated code online — across Database, Auth, Storage, Assets…

OtterMind/Nubase

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 compounding memory for AI agents. An agent skill from Goldentrii/AgentRecall-X.

Goldentrii/AgentRecall-X

The agent's persistent long-term memory — the only knowledge that survives across sessions, shared across the fleet under access control.

caura-ai/caura

How an agent should operate as one mind inside a shared Company Brain built on Caura — recall before acting, obey fleet keystones, reuse and publish skills, and report outcomes so every task…

caura-ai/caura

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

ogham-mcp/ogham-mcp

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

Ingest whatever you point at into an AKB vault — a local file, a web URL, a GitHub PR/release/commit, a Confluence page, or a Jira issue.

dnotitia/akb

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

GAIK toolkit overview and reference. An agent skill from GAIK-project/gaik-toolkit.

GAIK-project/gaik-toolkit

Answer a question from the AKB vault — decompose, search (hybrid / graph), ground in compiled-truth-over-timeline precedence, and synthesize a cited answer with gap/conflict/stale flags.

dnotitia/akb

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

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

ogham-mcp/ogham-mcp

Ingest a coding session JSONL into AKB as structured notes — session report + parallel-drafted TIL / task / idea / decision sub-notes.

dnotitia/akb

Smart retrieval from Ogham shared memory. An agent skill from ogham-mcp/ogham-mcp.

ogham-mcp/ogham-mcp

A skill your agent uses for any PostgreSQL database work — table design, indexing, data types, constraints, extensions (pgvector, PostGIS, TimescaleDB), search, and migrations.

timescale/pg-aiguide

Builds and debugs retrieval with the gaik toolkit — PgVectorStore, Ranker, FinnishTextProcessor, RelevanceGate — as hybrid search: pgvector similarity plus Postgres full-text, fused by rank, and the…

GAIK-project/gaik-toolkit

Tunes and administers PostgreSQL: EXPLAIN-driven query tuning, index choice, JSONB, extensions, streaming or logical replication, VACUUM and pg_stat monitoring.

Jeffallan/claude-skills

Vector database implementation for AI/ML applications, semantic search, and RAG systems.

ancoleman/ai-design-components

Hunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from…

elementalsouls/Claude-BugHunter

Guides database architecture for PostgreSQL, DuckDB, Parquet, PGVector, and Neo4j.

rileyhilliard/claude-essentials

Probes Retrieval-Augmented Generation pipelines for indirect prompt injection via poisoned retrieved documents and embedding-space manipulation, using NVIDIA garak, Promptfoo red-team plugins, and…

mukul975/Anthropic-Cybersecurity-Skills

Self-hosted semantic memory for AI agents via MCP. An agent skill from sickn33/agentic-awesome-skills.

sickn33/agentic-awesome-skills

Choose and wire AI features in the .NET backend — LLM calls, agentic tool-calling/multi-step workflows, RAG/vector search, structured output, streaming.

atherio-danp/cde-dotnetcc

Security-first SOP for multi-tenant RAG systems. An agent skill from agentsope/SkillAlchemy.

agentsope/SkillAlchemy

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

aiskillstore/marketplace

Provides configuration patterns for LangChain4J vector stores in RAG applications.

giuseppe-trisciuoglio/developer-kit

Deploy, manage, and optimize vector databases for AI applications.

majiayu000/claude-skill-registry

RAG: embeddings, chunking, hybrid search (BM25+vector), reranking, CRAG, multi-hop.

softspark/ai-toolkit

Retrieval-Augmented Generation patterns for grounded LLM responses.

yonatangross/orchestkit

Connect to Supabase for database operations, vector search, and storage.

sundial-org/awesome-openclaw-skills

A skill your agent uses when operating a vector store as a data layer — choosing or migrating between Pinecone, Qdrant, Weaviate and pgvector; designing a collection or index (distance metric…

ericrisco/rsc-harness

Administrative operations on the Knowledge base: connect new pgvector servers, check health, view stats, export data, install parser models.

evolution-foundation/evo-nexus

Hybrid search (vector + BM25 via RRF + metadata boost) against the pgvector Knowledge base, with optional RAG synthesis.

evolution-foundation/evo-nexus

Generate a TL;DR summary of a specific document or learning unit in the Knowledge base.

evolution-foundation/evo-nexus

Set up Inbrain with auto-provision Supabase or PGLite, AGENTS.md injection, first import

inbrainfun/inbrain

RAG system design covering document chunking strategies, embedding model selection, vector database selection (Pinecone, Weaviate, Chroma, pgvector), retrieval strategies (hybrid search…

FerroxLabs/wayland