Plugins listed here are tagged for this technology stack and auto-indexed from public GitHub repositories.
Plugins listed here are tagged for this technology stack and auto-indexed from public GitHub repositories.
Claude Code plugins tagged for DynamoDB development. Browse commands, agents, skills, and more.
Implement Domain-Driven Design with tactical patterns (aggregates, entities, value objects), CQRS, event sourcing, and saga orchestration. Design bounded contexts, map integration contracts, and build event stores with read models for scalable, event-driven systems.
Build and manage end-to-end data analytics workflows: implement A/B testing with statistical rigor, design reliable analytics tracking, create interactive D3.js visualizations, architect scalable database schemas, and optimize SQL for cloud-native databases.
Provision and manage isolated test environments using Docker Compose and Testcontainers for databases, caches, queues like PostgreSQL, MySQL, Redis, DynamoDB. Generate docker-compose files, env vars, seed data scripts, startup scripts, and cleanup code to enable reliable, reproducible testing without local setup conflicts.
Design and optimize NoSQL data models for MongoDB, DynamoDB, Redis, and Cassandra by analyzing access patterns, embedding vs referencing, denormalization trade-offs, sharding keys, and indexes.
Manage the full AWS lifecycle from infrastructure-as-code and serverless deployments to cost optimization, observability, and AI/ML on Bedrock, with SDK patterns for JavaScript, Python, and Swift.
Accelerate Java Spring Boot development by generating CRUD apps, REST APIs, and AI integrations with LangChain4j; write unit/integration tests; integrate AWS services like RDS, DynamoDB, S3, Lambda; refactor code, audit security/dependencies, and produce documentation/architecture reviews via agents, commands, skills, and LSP support.
Interactively configure secure AWS S3 buckets with encryption, versioning, lifecycle rules, and logging, then generate CloudFormation or CDK IaC plus documentation. Set up complete Lambda functions with handler code in Node/Python/Go, IAM roles, DynamoDB triggers, and IaC via CloudFormation/SAM/CDK.
Manage AWS data lake and analytics workflows: create and manage S3 Tables (Iceberg), import data from databases and S3, query with Athena, manage Glue connections and catalogs, and store/query vector embeddings with S3 Vectors.
Generate production-ready AWS CloudFormation templates for VPCs, EC2, ECS, RDS, DynamoDB, Lambda, S3, CloudFront, ElastiCache, Bedrock, and security groups; deploy ECS services via GitHub Actions CI/CD; bootstrap SAM projects; create Draw.io architecture diagrams; automate AWS CLI workflows; optimize costs; and review designs with expert agents.
Build and deploy Python MCP servers to expose custom tools, resources, and prompts to LLMs like Claude. Configure storage backends with memory, disk, Redis, or DynamoDB options. Integrate OAuth proxy for secure access and handle cloud deployment, lifespan management, middleware, circular imports, and async errors.
Validates Terraform configurations, enforces infrastructure-as-code best practices, and provides code intelligence for HCL files with diagnostics, references, and module organization guidance.
Automate data classification for privacy compliance: discover PII in structured/unstructured data, build GDPR RoPA inventories, track lineage, label special categories, detect bias in AI datasets, and harmonize policies across GDPR/CCPA/HIPAA using AWS Macie, Azure Purview, and regex/spaCy.
Design, optimize, and deploy serverless architectures using AWS Lambda, Azure Functions, and Google Cloud Functions. Implement event-driven patterns, API Gateway integrations, serverless databases like DynamoDB, security measures, workflows, and cost-saving strategies.
Architect scalable databases by selecting SQL/NoSQL/TimeSeries technologies, designing normalized schemas with PostgreSQL best practices, planning migrations, and optimizing complex SQL queries for OLTP/OLAP performance in cloud-native systems like PostgreSQL, MySQL, MongoDB, Redis, and DynamoDB.
Audits database schemas, migrations, and performance across SQL and NoSQL engines, scoring Design & Integrity and Performance & Scale, then applies safe reversible fixes on explicit command
Build and deploy AWS serverless applications using Lambda, SAM, API Gateway, EventBridge, Step Functions, and event-driven architectures with DynamoDB and SQS triggers. Automatically formats and lints code after edits to maintain code quality.