pgvector

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

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

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

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

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

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

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

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

rileyhilliard/claude-essentials

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

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

sickn33/agentic-awesome-skills

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

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

ancoleman/ai-design-components

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

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

github/awesome-copilot

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

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

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

softspark/ai-toolkit

Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.

jeremylongshore/tons-of-skills-marketplace

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

Provides configuration patterns for LangChain4J vector stores in RAG applications.

giuseppe-trisciuoglio/developer-kit

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