aws-sdk-java-v2-secrets-manager

senior-fullstack

alirezarezvani

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.

grey-haven-code-style

greyhaven-ai

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.

aws-rds-aurora-spring-data-jpa-configuration

giuseppe-trisciuoglio

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.

aws-rds

giuseppe-trisciuoglio

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.

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

giuseppe-trisciuoglio

Qdrant vector database integration patterns with LangChain4j. Store embeddings, similarity search, and vector management. Use when implementing vector-based retrieval for RAG systems.

golang-backend-development

manutej

Complete guide for Go backend development including concurrency patterns, web servers, database integration, microservices, and production deployment

linear

dbmcco

Use when managing Linear issues, creating tasks from conversations, tracking work items, or querying project status - provides bash scripts to interact with Linear's GraphQL API without writing queries directly (project, gitignored)

grey-haven-performance

greyhaven-ai

Optimize Grey Haven applications for performance - React rendering, TanStack Query caching, database queries (N+1 prevention), connection pooling, Cloudflare caching, lazy loading, and bundle size optimization. Use when performance issues detected.

example-data-processor

fkesheh

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.

Full-Stack Validation

bejranonda

Comprehensive validation methodology for multi-component applications including backend, frontend, database, and infrastructure