Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: databases

Annuaire en anglais

Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.

33K
Stars
88/100
Confiance
Catégorie: data-analysisAudit

Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehouses, lakes, and AI applications. Both self-hosted and Cloud.

22K
Stars
80/100
Confiance
Catégorie: data-analysisAudit

Platform to build admin panels, internal tools, and dashboards. Integrates with 25+ databases and any API.

40K
Stars
85/100
Confiance
Catégorie: coding-agentsAudit

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

31K
Stars
78/100
Confiance
Catégorie: utilityAudit

SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.

32K
Stars
87/100
Confiance
Catégorie: rag-knowledgeAudit

Empowering Data Intelligence with Distributed SQL for Sharding, Scalability, and Security Across All Databases.

21K
Stars
86/100
Confiance
Catégorie: data-analysisAudit

SQL databases in Python, designed for simplicity, compatibility, and robustness.

18K
Stars
85/100
Confiance
Catégorie: data-analysisAudit

Sealos is an AI-native Cloud Operating System built on Kubernetes that unifies the entire application lifecycle, from development in cloud IDEs to production deployment and management. It is perfect for building and scaling modern AI applications, managed databases (MySQL, PostgreSQL, Redis, MongoDB) and complex microservice architectures.

18K
Stars
77/100
Confiance
Catégorie: devopsAudit

Change data capture for a variety of databases. Please log issues at https://github.com/debezium/dbz/issues.

13K
Stars
85/100
Confiance
Catégorie: data-analysisAudit

Universal command-line interface for SQL databases

10K
Stars
77/100
Confiance
Catégorie: data-analysisAudit

TypeScript ORM for Node.js based on Data Mapper, Unit of Work and Identity Map patterns. Supports MongoDB, MySQL, MariaDB, MS SQL Server, PostgreSQL and SQLite/libSQL databases.

9.1K
Stars
84/100
Confiance
Catégorie: data-analysisAudit