SQL · Retrieval-augmented generation

Guides and best practices for working with Lakebase Postgres on Neon: connections, pooled vs direct, schema migrations, branching, autoscaling, scale-to-zero, instant restore, read replicas, IP…

neondatabase/agent-skills

Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, external structured-data import (CSV / SQL dumps), and MCP/tool calling.

liliang-cn/cortexdb

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

Oracle Database guidance for SQL, PL/SQL, SQLcl, ORDS, Oracle Vector SDK, administration, app development, performance, security, migrations, and agent-safe database workflows.

oracle/skills

Oracle Enterprise AI guidance for building, deploying, securing, estimating cost for, and integrating AI models, agents, RAG, Responses API workflows, custom or imported models, fine-tuning, model…

oracle/skills

A skill your agent uses when working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.

cinience/alicloud-skills

Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK.

google/skills

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

google/skills

Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search.

google/skills

Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud.

google/skills

Optimize accuracy for RAG (Retrieval-Augmented Generation) systems.

LeoYeAI/openclaw-master-skills

A skill your agent uses when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server —…

ericrisco/rsc-harness

MindsDB MCP服务器交互技能，用于通过自然语言查询和操作200+企业级数据源。当用户需要查询数据库、分析数据、创建AI模型、连接数据源（MySQL、PostgreSQL、MongoDB、Excel、CSV、Gmail、Slack等）、执行SQL查询、进行数据预测、构建知识库（RAG）、智能问答、文档检索或任何与数据库交互的任务时使用此技能。即使没有明确提到MindsDB，只要涉及数据库操…

LeoYeAI/openclaw-master-skills

腾讯探元文博检索工具集（Agentic RAG）。封装两个 HTTP API 为 Node.js 脚本，由 Agent 依据问题特征选择工具并构造 query： - search-relics（文物/世界遗产数据库 NL→SQL）：适合结构化事实的详情、列表、统计与排行查询 -…

infometa/workbuddyskills

Reference for Snowflake Cortex AI Functions (AICOMPLETE, AICLASSIFY, AIEXTRACT, AIFILTER, etc.) and Cortex Search for building RAG applications entirely inside Snowflake.

Mindrally/skills