Discover and install skills to enhance your AI agent's capabilities.
| Name | Contains | Score |
|---|---|---|
nestjs giuseppe-trisciuoglio/developer-kit Comprehensive NestJS framework guide with Drizzle ORM integration. Use when building NestJS applications, setting up APIs, implementing authentication, working with databases, or integrating Drizzle ORM. Covers controllers, providers, modules, middleware, guards, interceptors, testing, microservices, GraphQL, and database patterns. | Skills | |
qdrant-vector-database-integration giuseppe-trisciuoglio/developer-kit Qdrant vector database integration patterns with LangChain4j. Store embeddings, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines. | Skills | |
langchain4j-vector-stores-configuration giuseppe-trisciuoglio/developer-kit 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. | Skills | |
langchain4j-tool-function-calling-patterns giuseppe-trisciuoglio/developer-kit Tool and function calling patterns with LangChain4j. Define tools, handle function calls, and integrate with LLM agents. Use when building agentic applications that interact with tools. | Skills | |
langchain4j-testing-strategies giuseppe-trisciuoglio/developer-kit Testing strategies for LangChain4j-powered applications. Mock LLM responses, test retrieval chains, and validate AI workflows. Use when testing AI-powered features reliably. | Skills | |
langchain4j-rag-implementation-patterns giuseppe-trisciuoglio/developer-kit Implement Retrieval-Augmented Generation (RAG) systems with LangChain4j. Build document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases. | Skills | |
langchain4j-mcp-server-patterns giuseppe-trisciuoglio/developer-kit Model Context Protocol (MCP) server implementation patterns with LangChain4j. Use when building MCP servers to extend AI capabilities with custom tools, resources, and prompt templates. | Skills | |
unit-test-wiremock-rest-api giuseppe-trisciuoglio/developer-kit Unit tests for external REST APIs using WireMock to mock HTTP endpoints. Use when testing service integrations with external APIs. | Skills | |
unit-test-utility-methods giuseppe-trisciuoglio/developer-kit Unit tests for utility/helper classes and static methods. Test pure functions and helper logic. Use when validating utility code correctness. | Skills | |
unit-test-service-layer giuseppe-trisciuoglio/developer-kit Unit tests for service layer with Mockito. Test business logic in isolation by mocking dependencies. Use when validating service behaviors and business logic without database or external services. | Skills | |
unit-test-security-authorization giuseppe-trisciuoglio/developer-kit Unit tests for Spring Security with @PreAuthorize, @Secured, @RolesAllowed. Test role-based access control and authorization policies. Use when validating security configurations and access control logic. | Skills | |
claude-d3js-skill sickn33/antigravity-awesome-skills Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visua... | Skills | Invalid |
brand-guidelines-anthropic sickn33/antigravity-awesome-skills Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatt... | Skills | Invalid |
maceybaker/botfooding v0.1.1 When the agent, as the user of the tool, is asked to provide feedback. Contains: botfooding When the agent, as the user of the tool, is asked to provide feedback about the tool itself. | Skills |
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