π’Databases and Warehouses Skills
Browse the best Databases and Warehouses skills for Claude Code, Codex, Cursor and other AI agents.
265 skills Β· Page 1 of 12
senior-data-engineer
β
5World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, real-time streaming, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, Flink, Kinesis, and modern data stack. Includes data modeling, pipeline orchestration, data quality, streaming quality monitoring, and DataOps. Use when designing data architectures, building batch or streaming data pipelines, optimizing data workflows, or implementing data governance.
supabase-expert
β
1Advanced Supabase integration specialist for Auth, Database (PostgreSQL/RLS), Storage, Realtime, Edge Functions, and AI/Vector features. Use when implementing Supabase features, debugging Supabase issues, setting up RLS policies, creating database schemas, building auth flows, optimizing Supabase queries, migrating to Supabase, or architecting Supabase-based applications. Invoke for Supabase client setup, type generation, migration creation, performance tuning, security audits, or Supabase best practices. Handles Next.js, React, Vue, Svelte, and server-side integrations.
supabase-expert
Comprehensive Supabase expert with access to 2,616 official documentation files covering PostgreSQL database, authentication, real-time subscriptions, storage, edge functions, vector embeddings, and all platform features. Invoke when user mentions Supabase, PostgreSQL, database, auth, real-time, storage, edge functions, backend-as-a-service, or pgvector.
senior-data-engineer
β
14.5kWorld-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.
vercel-kv
β
109Integrate Redis-compatible Vercel KV for caching, session management, and rate limiting in Next.js applications. Powered by Upstash with strong consistency and TTL support.Use when implementing cache strategies, storing temporary data with expiration, building rate limiters, or troubleshooting missing environment variables, serialization errors, or rate limit issues.
neon-vercel-postgres
β
5Set up serverless Postgres with Neon or Vercel Postgres for Cloudflare Workers/Edge. Includes connection pooling, git-like branching for preview environments, and Drizzle/Prisma integration.Use when: setting up edge Postgres, configuring database branching, or troubleshooting "TCP not supported", connection pool exhausted, SSL config (sslmode=require), or Prisma edge compatibility.
sap-datasphere
β
5Comprehensive plugin for SAP Datasphere development with 3 specialized agents, 4 slash commands, and validation hooks. Use when building data warehouses on SAP BTP, creating analytic models, configuring data flows and replication flows, setting up connections to SAP and third-party systems, managing spaces and users, implementing data access controls, using the datasphere CLI, creating data products for the marketplace, or monitoring data integration tasks. Covers Data Builder (graphical/SQL views, local/remote tables, transformation flows), Business Builder (business entities, consumption models), analytic models (dimensions, measures, hierarchies), 40+ connection types (SAP S/4HANA, BW/4HANA, HANA Cloud, AWS, Azure, GCP, Kafka, Generic HTTP), real-time replication, task chains, content transport, CLI automation, catalog governance, and data marketplace. Includes 2025 features: Generic HTTP connections, REST API tasks in task chains, SAP Business Data Cloud integration. Keywords: sap datasphere, data warehou
neon-vercel-postgres
This skill provides comprehensive knowledge for integrating Neon serverless Postgres and Vercel Postgres (which is built on Neon infrastructure) into web applications. It should be used when setting up serverless Postgres databases, configuring connection pooling for edge and serverless environments, implementing database branching workflows, or troubleshooting Postgres connection issues in Cloudflare Workers, Vercel Edge Functions, or Node.js serverless functions.Use this skill when:- Setting up Neon Postgres for Cloudflare Workers, Vercel Edge, or serverless environments- Configuring Vercel Postgres for Next.js applications- Implementing database branching workflows (git-like database branches)- Integrating Drizzle ORM or Prisma with Neon/Vercel Postgres- Debugging connection pool errors, transaction timeouts, or SSL configuration issues- Migrating from D1/SQLite to Postgres or from traditional Postgres to serverless Postgres- Setting up point-in-time restore (PITR) or database backups- Encounteri
dsql
β
7.8kBuild and deploy PostgreSQL-compatible serverless distributed SQL databases with Aurora DSQL - manage schemas, execute queries, and handle migrations with DSQL-specific requirements. Use when wanting a good solution for developing a scalable or distributed SQL database, user asks to use Amazon Aurora DSQL, or a project is already built with DSQL. Includes MCP tools for direct database interaction.
neon-drizzle
β
58Creates a fully functional Drizzle ORM setup with a provisioned Neon database. Installs dependencies, provisions database credentials, configures connections, generates schemas, and runs migrations. Results in working code that can immediately connect to and query the database. Use when creating new projects with Drizzle, adding ORM to existing applications, or modifying database schemas.
neondb-serverless
β
49Use Neon serverless Postgres with branching, connection pooling, and instant scalability for modern applications with Prisma or Drizzle ORM integration. Use when setting up serverless Postgres databases, implementing database branching for preview environments, configuring connection pooling, optimizing for serverless cold starts, using Prisma with Neon, implementing database migrations, scaling databases automatically, or building applications on Vercel/Netlify with Postgres.
neon-drizzle
β
42Creates a fully functional Drizzle ORM setup with a provisioned Neon database. Installs dependencies, provisions database credentials, configures connections, generates schemas, and runs migrations. Results in working code that can immediately connect to and query the database. Use when creating new projects with Drizzle, adding ORM to existing applications, or modifying database schemas.
bigquery
β
34Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.
data-engineer
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21Expert data engineer specializing in building scalable data pipelines, ETL/ELT processes, and data infrastructure. Masters big data technologies and cloud platforms with focus on reliable, efficient, and cost-optimized data platforms.
neon-vercel-postgres
β
9Neon + Vercel serverless Postgres for edge and serverless environments. Use for Cloudflare Workers, Vercel Edge, Next.js apps with HTTP/WebSocket connections, database branching (git-like), Drizzle/Prisma ORM integration, migrations, PITR backups, or encountering connection pool exhausted errors, TCP connection issues, SSL config problems.
moai-platform-firestore
β
5Firebase Firestore specialist covering NoSQL patterns, real-time sync, offline caching, and Security Rules. Use when building mobile-first apps with offline support, implementing real-time listeners, or configuring Firestore security.
data-engineering
β
5ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
supabase-patterns
β
5Critical reference for all Supabase database operations. Use this whenever reading from or writing to the database to ensure correct client usage (supabaseServer vs supabase), schema names, and query patterns. CRITICAL for security.
databricks-2025
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4Databricks Job activity and 2025 Azure Data Factory connectors
supabase-integration
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python-data-engineering
Comprehensive Python data engineering patterns for AWS Data Lake, including PySpark, Pandas, Apache Airflow, AWS Glue, ETL pipelines, data quality, schema management, performance optimization, FastAPI services, streaming with Kafka/Kinesis, data validation with Great Expectations, testing strategies, error handling, logging, and production deployment on AWS EMR and Glue.
supabase-mcp-integration
Comprehensive Supabase integration covering authentication, database operations, realtime subscriptions, storage, and MCP server patterns for building production-ready backends with PostgreSQL, Auth, and real-time capabilities
mongodb
Integrates MongoDB document database with Node.js applications using the official driver or Mongoose ODM. Use when building applications with flexible schemas, document storage, or when user mentions MongoDB, NoSQL, or document databases.
vector-index-tuning
β
24.2kOptimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.