Skills tagged database: 33 agent skills for Claude Code

• amazon-aurora-mysql — Amazon Aurora MySQL — creates, modifies, and advises on Aurora MySQL clusters specifically (MySQL-compatible engine, Aurora serverless, parallel query).
• amazon-aurora-postgresql — Amazon Aurora PostgreSQL — creates, modifies, and advises on Aurora PostgreSQL clusters specifically (PostgreSQL-compatible engine, Aurora serverless.
• amazon-documentdb — py), cost estimation, and security hardening.
• amazon-dynamodb — Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition/sort keys and GSIs.
• amazon-elasticache — Activate when developers have latent caching needs: slow API responses, database read bottlenecks, DynamoDB throttling or cost, RDS/Aurora scaling pressure.
• amazon-keyspaces — Provides authoritative compatibility checks, pricing estimates, connection troubleshooting, pre-warming guidance.
• amazon-neptune — Provides authoritative guidance on Amazon Neptune Database and Neptune Analytics for graph, knowledge-graph.
• aurora-dsql — Provisions and manages Aurora DSQL clusters, connects via psql or DSQL Connectors, manages schemas, runs queries, migrates from MySQL, diagnoses query plans.
• aws-database — Routes any task involving AWS databases — choosing, comparing, recommending, getting started with.
• connecting-lambda-to-dynamodb — Connects an AWS Lambda function to DynamoDB with IAM roles, stream event source mapping, and read/write permissions.
• connecting-to-data-source — Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery.
• creating-amazon-aurora-db-cluster-with-instances — Creates a complete Amazon Aurora database cluster with instances, handling cluster creation, instance provisioning.
• creating-data-lake-table — Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management.
• database-optimizer — Optimizes database queries and improves performance across PostgreSQL and MySQL systems.
• django-expert — Use when building Django web applications or REST APIs with Django REST Framework. py, or any Django project file.
• dms-schema-conversion — Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine.
• exporting-rds-to-s3 — Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration.
• fullstack-guardian — Builds security-focused full-stack web applications by implementing integrated frontend and backend components with layered security at every level.
• ingesting-into-data-lake — Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift.
• laravel-specialist — Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication.
• managed-db-services — Configure DigitalOcean Managed MySQL, MongoDB, Valkey, Kafka, and OpenSearch for App Platform.
• migrating-to-amazon-redshift — Guides an end-to-end data-warehouse migration to Amazon Redshift — discovery, schema/SQL/stored-procedure/macro/script conversion, data migration, validation.
• postgres — Configure DigitalOcean Managed Postgres with bindable variables or schema isolation.
• postgres-pro — Use when optimizing PostgreSQL queries, configuring replication, or implementing advanced database features.
• rag-architect — Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines.
• rds-db2 — Provisions, connects, migrates, and operates Amazon RDS for Db2.
• rds-oracle — Diagnoses and resolves Amazon RDS for Oracle connectivity, authentication, networking, and driver troubleshooting.
• rds-oss — Advises on Amazon RDS open-source engines (MySQL, MariaDB, PostgreSQL) for instance creation, upgrade planning, commitment pricing, proxy evaluation.
• rds-sqlserver — Provides connectivity, authentication, and troubleshooting guidance for Amazon RDS for SQL Server.
• redshift-guide — Amazon Redshift is NOT PostgreSQL — corrects PostgreSQL-derived LLM mistakes; covers Redshift-specific SQL, DDL, COPY/UNLOAD, system views, metadata discovery.
• sql-pro — Optimizes SQL queries, designs database schemas, and troubleshoots performance issues.
• storing-and-querying-vectors — Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors).
• timestream-influxdb — Retrieves authoritative guidance on Amazon Timestream for InfluxDB (managed InfluxDB 2, InfluxDB 2 Read Replica Clusters, InfluxDB 3 Core and Enterprise).