giuseppe-tri
96 skills with substantive source documentation and an official publisher or observed installation demand. Read each skill’s original documentation through its card.
giuseppe-trisciuogliolangchain4j-ai-services-patterns
Provides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliolangchain4j-mcp-server-patterns
Provides LangChain4j patterns for implementing MCP (Model Context Protocol) servers, creating Java AI tools, exposing tool calling capabilities, and integrating MCP clients with AI services. Use when building a Java MCP server, implementing tool calling in Java, connecting LangChain4j to external MCP servers, or securing tool exposure for agent workflows.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliolangchain4j-rag-implementation-patterns
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliolangchain4j-testing-strategies
Provides unit test, integration test, and mock AI patterns for LangChain4j applications. Creates mock LLM responses, tests retrieval chains, validates RAG workflows, and implements Testcontainers-based integration tests for Java AI services. Use when unit testing AI services, integration testing LangChain4j components, mocking AI models, or testing LLM-based Java applications.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliolangchain4j-tool-function-calling-patterns
Provides and generates LangChain4j tool and function calling patterns: annotates methods as tools with @Tool, configures tool executors, registers tools with AiServices, validates tool parameters, and handles tool execution errors. Use when building AI agents that call tools, define function specifications, manage tool responses, or integrate external APIs with LLM-driven applications.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliolangchain4j-vector-stores-configuration
Provides configuration patterns for LangChain4J vector stores in 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.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliolearn
Provides autonomous project pattern learning by analyzing the codebase to discover development conventions, architectural patterns, and coding standards, then generates project rule files in .claude/rules/. Use when user asks to "learn from project", "extract project rules", "analyze codebase conventions", "discover project patterns", or wants to auto-generate Claude Code rules for the current project.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliomemory-md-management
Provides comprehensive memory file management capabilities including auditing, quality assessment, and targeted improvements for files such as CLAUDE.md. Use when user asks to check, audit, update, improve, fix, maintain, or validate project memory files. Also triggers for "project memory optimization", "CLAUDE.md quality check", "documentation review", or when a project memory file needs to be created from scratch. This skill scans memory files, evaluates quality against standardized criteria,
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionestjs
Provides comprehensive NestJS framework patterns with Drizzle ORM integration for building scalable server-side applications. Generates REST/GraphQL APIs, implements authentication guards, creates database schemas, and sets up microservices. Use when building NestJS applications, setting up APIs, implementing authentication, working with databases, or integrating Drizzle ORM.
- installs
- 2
- GitHub stars
- 351
- Updated
- Sep 10
giuseppe-trisciuoglionestjs-best-practices
Provides comprehensive NestJS best practices including modular architecture, dependency injection scoping, exception filters, DTO validation with class-validator, and Drizzle ORM integration. Use when designing NestJS modules, implementing providers, creating exception filters, validating DTOs, or integrating Drizzle ORM within NestJS applications.
- installs
- 2
- GitHub stars
- 351
- Updated
- Sep 10
giuseppe-trisciuoglionestjs-code-review
Provides comprehensive code review capability for NestJS applications, analyzing controllers, services, modules, guards, interceptors, pipes, dependency injection, and database integration patterns. Use when reviewing NestJS code changes, before merging pull requests, after implementing new features, or for architecture validation. Triggers on "review NestJS code", "NestJS code review", "check my NestJS controller/service".
- installs
- 2
- GitHub stars
- 357
- Updated
- Sep 10
giuseppe-trisciuoglionestjs-drizzle-crud-generator
Generates complete CRUD modules for NestJS applications with Drizzle ORM. Use when building server-side features in NestJS that require database operations, including creating new entities with full CRUD endpoints, services with Drizzle queries, Zod-validated DTOs, and unit tests. Triggered by requests like "generate a user module", "create a product CRUD", "add a new entity with endpoints", or when setting up database-backed features in NestJS.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionextjs-app-router
Provides patterns and code examples for building Next.js 16+ applications with App Router architecture. Use when creating projects with App Router, implementing Server Components and Client Components ("use client"), creating Server Actions for forms, building Route Handlers (route.ts), configuring caching with "use cache" directive (cacheLife, cacheTag), setting up parallel routes (@slot) or intercepting routes, migrating to proxy.ts, or working with App Router file conventions (layout.tsx, pag
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionextjs-authentication
Provides authentication implementation patterns for Next.js 15+ App Router using Auth.js 5 (NextAuth.js). Use when setting up authentication flows, implementing protected routes, managing sessions in Server Components and Server Actions, configuring OAuth providers, implementing role-based access control, or handling sign-in/sign-out flows in Next.js applications.
- installs
- 2
- GitHub stars
- 358
- Updated
- Sep 10
giuseppe-trisciuoglionextjs-code-review
Provides comprehensive code review capability for Next.js applications, validates Server Components, Client Components, Server Actions, caching strategies, metadata, API routes, middleware, and performance patterns. Use when reviewing Next.js App Router code changes, before merging pull requests, after implementing new features, or for architecture validation. Triggers on "review Next.js code", "Next.js code review", "check my Next.js app".
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionextjs-data-fetching
Provides Next.js App Router data fetching patterns including SWR and React Query integration, parallel data fetching, Incremental Static Regeneration (ISR), revalidation strategies, and error boundaries. Use when implementing data fetching in Next.js applications, choosing between server and client fetching, setting up caching strategies, or handling loading and error states.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionextjs-deployment
Provides comprehensive patterns for deploying Next.js applications to production. Use when configuring Docker containers, setting up GitHub Actions CI/CD pipelines, managing environment variables, implementing preview deployments, or setting up monitoring and logging for Next.js applications. Covers standalone output, multi-stage Docker builds, health checks, OpenTelemetry instrumentation, and production best practices.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionextjs-performance
Expert Next.js performance optimization skill covering Core Web Vitals, image/font optimization, caching strategies, streaming, bundle optimization, and Server Components best practices. Use when optimizing Next.js applications for Core Web Vitals (LCP, INP, CLS), implementing next/image and next/font, configuring caching with unstablecache and revalidateTag, converting Client Components to Server Components, implementing Suspense streaming, or analyzing and reducing bundle size. Supports Next.j
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglionx-monorepo
Provides comprehensive Nx monorepo management guidance for TypeScript/JavaScript projects. Use when creating Nx workspaces, generating apps/libraries/components, running affected commands, setting up CI/CD, configuring Module Federation, or implementing NestJS backends within Nx
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliopr-review-comments
Posts review findings from a JSON file as inline comments on a GitHub Pull Request, attaching each comment to its file and line. Use when you have a list/JSON of review findings (each with a file path, line number, and a message such as summary/failurescenario) and want them published on a PR as inline review comments. Triggers include "post these review comments on the PR", "associate comments to files in the PR", "publish review findings to PR N", or having a JSON array of {file, line, summary
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglioprompt-engineering
Provides workflows to write, debug, and optimize prompts for LLMs, including few-shot example selection, chain-of-thought structuring, system prompt design, and template composition. Use when the user asks to write or improve a prompt, wants help with few-shot examples, chain-of-thought, system prompts, prompt templates, or asks how to get better results from an LLM.
- installs
- 2
- GitHub stars
- 351
- Updated
- Sep 10
giuseppe-trisciuoglioreact-code-review
Provides comprehensive code review capability for React applications, validates component architecture, hooks usage, React 19 patterns, state management, performance optimization, accessibility compliance, and TypeScript integration. Use when reviewing React code changes, before merging pull requests, after implementing new features, or for component architecture validation. Triggers on "review React code", "React code review", "check my React components".
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuoglioreact-patterns
Provides comprehensive React 19 patterns for Server Components, Server Actions, useOptimistic, useActionState, useTransition, concurrent features, Suspense boundaries, and TypeScript integration. Generates executable code patterns, validates security for public endpoints, and optimizes performance with React Compiler or manual memoization. Proactively use when building React 19 applications with Next.js App Router, implementing optimistic UI, or optimizing concurrent rendering.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10
giuseppe-trisciuogliospring-ai-mcp-server-patterns
Provides Spring Boot MCP server patterns that create Model Context Protocol servers with Spring AI by defining tool handlers, exposing resources, configuring prompt templates, and setting up transports for AI function calling and tool calling. Use when building MCP servers to extend AI capabilities with Spring's official AI framework, implementing AI tools, custom function calling, or MCP client integration.
- installs
- 2
- GitHub stars
- 349
- Updated
- Sep 10