aws-data-analytics Claude Code Plugin
Claude Code PluginClaude CodeDevelopmentData Engineering & AnalyticsCloud, Deployment & CI/CDDatabases & StorageThe explanation below is AI-generated. Please verify it against the sources.
This is a Claude plugin that equips a coding assistant with AWS data-engineering skills covering the full data lifecycle, from building data lakes to running analytics and ETL pipelines. According to its README, it bundles 13 agent skills spanning Amazon S3 Tables, AWS Glue, Amazon Athena, Amazon Redshift, Amazon OpenSearch Service, Amazon S3 Vectors, and Amazon MWAA (Managed Workflows for Apache Airflow). It also ships one MCP server that provides AWS API access, documentation search, and standard-operating-procedure retrieval. Usage requires an AWS account with the relevant service permissions and locally configured AWS credentials. The skills are described as customizable, allowing an organization to adapt them to its own naming conventions and tooling standards.
About the service
The plugin connects a coding assistant to AWS's cloud analytics services. It works with Amazon S3 Tables and AWS Glue for data lake storage and cataloging, Amazon Athena and Amazon Redshift for querying, Amazon OpenSearch Service for search and observability, Amazon S3 Vectors for vector storage, and Amazon MWAA for orchestrating Apache Airflow workflows, with connectivity to external sources such as Snowflake, BigQuery, and various JDBC databases.
What you can do with aws-data-analytics
- Ingest data from S3, JDBC databases, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables
- Inventory and audit AWS Glue Data Catalog assets, including stale-table detection
- Store and query vector embeddings with Amazon S3 Vectors for semantic search or RAG
- Migrate to and manage Amazon OpenSearch Service or Serverless, including vector and hybrid search
- Write and debug Amazon Redshift SQL, including system views and the Data API
- Author, test, debug, and upgrade Apache Airflow DAGs on Amazon MWAA