Databases

database-designer is a Database Engineering skill for schema analysis, index recommendations, SQL/NoSQL selection, and safe migration planning with Python helpers and references.

The azure-cosmos-py skill helps you install, configure, and use the Azure Cosmos DB Python SDK for NoSQL CRUD, queries, container setup, partitioning, and authentication. It is especially useful for Database Engineering workflows where partition keys and query cost matter.

azure-cosmos-db-py helps you build Azure Cosmos DB NoSQL persistence in Python/FastAPI with production-ready patterns for client setup, dual auth, partition-aware CRUD, parameterized queries, and testable service layers. Use the azure-cosmos-db-py skill when you need a practical guide for backend development, local emulator support, and reusable Cosmos DB implementation patterns.

azure-resource-manager-postgresql-dotnet helps .NET engineers manage Azure Database for PostgreSQL Flexible Server with Azure Resource Manager. Use it to install the Azure.ResourceManager.PostgreSql and Azure.Identity packages, then create, update, inspect, secure, and automate PostgreSQL servers in Azure with clearer scope than a generic prompt.

clickhouse-best-practices is a ClickHouse best practices skill for Database Engineering. It guides schema design, query tuning, insert strategy, and agent connectivity with rule-based recommendations, making clickhouse-best-practices usage easier to trigger, review, and cite in ClickHouse workflows.

clickhouse-architecture-advisor helps design ClickHouse workloads with workload-aware decisions for ingestion, partitioning, joins, dictionaries, upserts, and pre-aggregation. It is especially useful for Backend Development, observability, SIEM, product analytics, IoT telemetry, and financial pipelines. The skill labels guidance as official, derived, or field.

Tinybird best practices for project files, SQL rules, optimization patterns, and file-based workflows. Use this tinybird skill for Backend Development when you need help with datasources, pipes, endpoints, materialized views, and deployment-safe guidance grounded in the repo rules.

gget is a bioinformatics skill for fast, unified access to 20+ genomic databases and analysis tools from CLI or Python. Use it for gene info, BLAST-related lookups, AlphaFold structures, expression data, disease associations, and enrichment-style analysis. It suits quick exploration and gget for Data Analysis workflows.

The azure-data-tables-java skill helps Java developers build Azure Table Storage and Cosmos DB Table API clients with the Azure Data Tables SDK. Use it for install, setup, and practical azure-data-tables-java usage with connection strings, shared key, SAS, or DefaultAzureCredential.

The azure-cosmos-java skill helps you install and use the Azure Cosmos DB Java SDK for client setup, key-based auth, environment variables, and NoSQL database operations. It is a strong fit for Database Engineering when you need reliable Java patterns, example-driven usage, and a clear azure-cosmos-java guide instead of guesswork.

chdb-datastore is a pandas-compatible skill for fast data analysis with a ClickHouse-backed DataStore API. It supports file, database, and cloud connectors, cross-source joins, and minimal code changes for pandas-style workflows. Use this chdb-datastore guide when you want a drop-in analysis layer for larger datasets.