langchain4j-vector-stores-configuration

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.

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.

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.

vector-database-management

manutej

Comprehensive guide for managing vector databases including Pinecone, Weaviate, and Chroma for semantic search, RAG systems, and similarity-based applications

erd-skill

Byunk

Comprehensive database design and ERD (Entity-Relationship Diagram) toolkit using DBML format. This skill should be used when creating database schemas from requirements, analyzing existing DBML files for improvements, designing database architecture, or providing guidance on database modeling, normalization, indexing, and relationships.

file-operations

mhattingpete

Analyze files and get detailed metadata including size, line counts, modification times, and content statistics. Use when users request file information, statistics, or analysis without modifying files. Activates on phrases like "analyze this file", "get file info", "how many lines", "file statistics", or "show file details".

AgentDB Advanced Features

agenticsorg

Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.

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.

SQLite Memory Access

masharratt

Simplified Claude Flow for beginners - AI agent orchestration made easy

mvp-case-builder

OneWave-AI

Construct statistical arguments for MVP/awards. Narrative framing, comparison to past winners, advanced metrics, counter-arguments.