aws-rds-aurora-spring-data-jpa-configuration
Focused guide for configuring AWS RDS Aurora (MySQL/PostgreSQL) with Spring Data JPA. Use when setting up Aurora database connections, configuring datasources, connection pooling, and production-ready settings.
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2025年10月26日 16:38
giuseppe-trisciuoglio
giuseppe-trisciuoglio/developer-kit下载技能文件
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相关技能
aws-rds
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AWS RDS (Relational Database Service) management using AWS SDK for Java 2.x. Use when working with RDS instances, creating databases, managing snapshots, parameter groups, or querying RDS metadata and configurations.
spring-data-jpa
giuseppe-trisciuoglio
Spring Data JPA expertise for building persistence layers. Use when implementing repositories, query methods, entity relationships, auditing, transactions, pagination, multiple databases, deletion operations, UUID primary keys, and database indexing. Covers repository interfaces, derived queries, custom queries with @Query, one-to-one/many-to-many relationships, pagination and sorting, database auditing, cascade operations, UUID strategies, composite indexes, and Spring Data best practices.
aws-sdk-java-v2-secrets-manager
giuseppe-trisciuoglio
AWS Secrets Manager patterns using AWS SDK for Java 2.x. Use when storing/retrieving secrets (passwords, API keys, tokens), rotating secrets automatically, managing database credentials, or integrating secret management into Spring Boot applications.
langchain4j-vector-stores-configuration
giuseppe-trisciuoglio
Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
qdrant-java-development
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Qdrant vector database integration patterns with LangChain4j. Store embeddings, similarity search, and vector management. Use when implementing vector-based retrieval for RAG systems.
example-data-processor
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Process CSV data files by cleaning, transforming, and analyzing them. Use this when users need to work with CSV files, clean data, or perform basic data analysis tasks.
postgresql-psql
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Comprehensive guide for PostgreSQL psql - the interactive terminal client for PostgreSQL. Use when connecting to PostgreSQL databases, executing queries, managing databases/tables, configuring connection options, formatting output, writing scripts, managing transactions, and using advanced psql features for database administration and development.
senior-fullstack
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Comprehensive fullstack development skill for building complete web applications with React, Next.js, Node.js, GraphQL, and PostgreSQL. Includes project scaffolding, code quality analysis, architecture patterns, and complete tech stack guidance. Use when building new projects, analyzing code quality, implementing design patterns, or setting up development workflows.
xp-practices
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Apply XP practices including pair programming, ensemble programming, continuous integration, and sustainable pace. Use when implementing agile development practices, improving team collaboration, or adopting technical excellence practices.
grey-haven-code-style
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Apply Grey Haven Studio's actual coding standards from cvi-template (TypeScript/React) and cvi-backend-template (Python/FastAPI). Use when writing or reviewing code for Grey Haven projects. Includes Prettier, ESLint, Ruff, database conventions, and multi-tenant patterns.
query-optimizer
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Analyze and optimize SQL queries for better performance and efficiency.
apache-spark-data-processing
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Complete guide for Apache Spark data processing including RDDs, DataFrames, Spark SQL, streaming, MLlib, and production deployment