OpenAgentSkill guide
Best database and sql skills for AI agents
Find skills for SQL generation, database inspection, migration review, query optimization, and agent workflows around persistent data.
When to use this guide
Start from the job, then shortlist the tools.
Inspect schemas
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Generate SQL
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Review migrations
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Summarize query results
Use quality and freshness signals to decide whether a skill belongs in this workflow.
Shortlist
Top skills to evaluate
AI coding assistant skill (Claude Code, Codex, OpenCode, Cursor, Gemini CLI, and more). Turn any folder of code, SQL schemas, R scripts, shell scripts, docs, papers, images, or videos into a queryable knowledge graph. App code + database schema + infrastructure in one graph.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Turn any AI Agents into world-class data analysts through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build GenBI, agentic BI, text-to-sql, dashboards, and agentic analytics.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
持续维护的企业面试题库网站，帮你拿到满意 offer！⭐️ 2026年最新Java面试题、前端面试题、AI大模型面试题、AI Agent面试题、RAG面试题、C++面试题、Go面试题、Python面试题、测试面试题、运维面试题、后端面试题、操作系统面试题、计算机网络面试题、Redis面试题、MySQL数据库面试题、算法面试题、Spring面试题、JVM面试题、Java并发面试题、Linux面试题、LLM面试题、Prompt工程面试题、系统设计面试题等1万多道高频程序员求职必备八股文。面试刷题就选面试鸭 💎 React 前端 + Node 后端 + 云开发全栈项目 by 程序员鱼皮
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Fulling is an AI-powered Full-stack Engineer Agent. Built with Next.js, Claude, shadcn/ui, and PostgreSQL. Use kubernetes as infra.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
Search infrastructure for AI
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
A comprehensive set of agent skills designed for various scientific and analytical applications.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
Best fit: High-confidence pick with strong adoption and healthy maintenance signals.