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Connect Model Context Protocol (MCP) servers to LangChain.js and LangGraph.js agents. Supports multiple transports (stdio, HTTP, SSE), multi-server management, and rich content responses.

LangChain.js integration for Google Vertex AI - access Google AI/ML models and services using service account credentials. Supports chat models, embeddings, and tool calling with Gemini.

Expert guidance for building modern Next.js apps with TypeScript, Shadcn UI, Radix, Tailwind, and React Query. Enforces best practices for code structure, performance, server components, state management, and maintainable architecture.

Expert guidance for building maintainable Node.js/TypeScript backends with PostgreSQL, emphasizing functional programming, type safety, SQL optimization, and comprehensive testing practices.

Angular development rules for WhyTV project focusing on clean code, signals, and reactive state management with standalone components and lazy loading.

Context-driven development workflow that reads project notes before each task, uses MECE breakdowns, and maintains type safety with documentation standards.

A specialized skill for building intelligent chat experiences with persistent, stateful AI agents using @cloudflare/ai-chat. Provides streaming responses, automatic message persistence, resumable streams, and tool integration.

Integrate LangChain agents and graphs with AI SDK UI components. Convert messages between formats, stream responses, and use LangSmith deployments.

Build LLM-powered applications with LangChain.js framework. Chain together components, integrate third-party services, and create AI applications with model interoperability, embeddings, vector stores, and real-time data augmentation.

Third-party integrations for LangChain.js - implements base interfaces from LangChain Core for building AI applications with community-maintained components

AI agent framework for Convex with threads, messages, streaming, RAG, workflows, and tool calls. Manages long-running agentic workflows with real-time reactivity and multi-agent cooperation.

Add Groq provider support to AI SDK applications with language models, transcription, and browser search capabilities. Includes setup, configuration, and usage examples for text generation and interactive web browsing.

Generate production-ready multi-agent workflows using the OpenAI Agents SDK. Supports handoffs, tools, guardrails, streaming, structured outputs, and realtime voice agents. Works with OpenAI and other LLM providers.

Instructions for AI agents working on an Astro-based documentation site with interactive React features. Covers project structure, dev workflows, and common tasks for the Blackjack Docs site.

Specialized multi-agent system for GitHub Copilot providing orchestration, code implementation, research, and review capabilities with structured workflows and memory management.

Stateful agent with tool execution and event streaming. Built on @mariozechner/pi-ai for general-purpose agent workflows with transport abstraction, state management, and attachment support.

Expert Swift server development for MLX models with focus on Apple Silicon performance, modern Swift 6.0 concurrency patterns, and protocol-oriented architecture.

Instructions for Java TCP Socket programming with server/client examples following standard Java Socket practices

Community node for n8n that integrates with AppSheet API, enabling full CRUD operations, custom actions, conditional checks, and bulk upsert with batch processing.

Detect if code is running in an AI agent or automated development environment using @vercel/detect-agent package. Adapts application behavior, telemetry, and features based on the execution context.