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Expert Python coding assistant based on Codestral-7B, trained on 686k+ Python code examples. Generates, explains, debugs, and optimizes Python code with bilingual support (English/Spanish).

Visualizes GitHub Actions workflow execution timelines using Mermaid gantt charts in run summaries. Runs in post-processing phase to fetch workflow data and generate timeline diagrams.

Integrate Anthropic's Claude models into LangChain.js applications with support for chat, streaming, tools, memory, web search, file operations, and computer control.

LangChain-compatible web search tool for n8n AI agents using Brave Search API. Provides structured search capabilities with customizable parameters and output formats.

Generate LangChain.js code for Google's Gemini models (chat, vision, embeddings) with proper configuration, multimodal support, and best practices.

Comprehensive guide for using OpenAI models, tools, and integrations with LangChain.js, including chat models, embeddings, web search, code interpreter, file search, image generation, and computer use.

Integrate xAI's Grok models with LangChain.js, including chat models and server-side live search capabilities for real-time web information retrieval.

Integrate LangChain.js core abstractions for building AI applications with language models, chains, prompts, and runnables. Supports modular provider integration.

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.