backend▌

Master core Java programming with production-quality patterns.

ES6+ syntax and functional programming patterns for writing clean, modern JavaScript. \n \n Master arrow functions, destructuring, spread operators, template literals, and enhanced object syntax for concise, readable code \n Implement async/await and Promise patterns for handling asynchronous operations, with combinators like Promise.all and Promise.race \n Apply functional programming techniques including map, filter, reduce, higher-order functions, composition, and pure functions for data tran

The Model Context Protocol (MCP) lets AI assistants call tools, read resources, and use prompts from your server. Use this skill when building or maintaining MCP servers. The SDK API evolves; check Context7 (query-docs for "MCP") or the official MCP documentation for current method names and signatures.

Multi-platform market research data extraction via Apify Actors across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor. \n \n Supports 16+ specialized Actors covering location density, pricing, consumer behavior, hashtag trends, hospitality data, and review analysis \n Workflow guides users through Actor selection, schema fetching, preference configuration, and result export in CSV or JSON formats \n Requires Apify token authentication and Node.js 20.6+; includes error handling fo

RESTful CRUD operations for TypeSpec API plugins with routing, parameters, and adaptive cards. \n \n Supports GET, POST, PATCH, and DELETE operations with path, query, and body parameters for filtering, creation, and updates \n Includes adaptive card visualization for GET responses and confirmation dialogs for destructive operations (POST, PATCH, DELETE) \n Provides complete CRUD example with models, error handling, and multiple query parameter patterns \n Built-in testing prompts and best pract

Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Python, JavaScript, Go, and Java. \n \n Access current Gemini 3 models (Pro, Flash, Pro Image) with 1M token context; legacy Gemini 2.x and 1.5 models are deprecated \n Supports text generation, image/audio/video understanding, function calling, structured JSON output, code execution, context caching, and embeddings \n Official SDKs available: google-genai (Python), @goo

A minimal Encore Go app:

Generate TypeSpec API plugins for Microsoft 365 Copilot with REST operations, authentication, and Adaptive Cards. \n \n Scaffolds complete TypeSpec projects with agent definitions (main.tsp) and API operations (actions.tsp) following Microsoft 365 Copilot conventions \n Supports four authentication modes: public APIs, API key headers, OAuth2 with authorization code flow, and registered auth references \n Includes optional confirmation dialogs for destructive operations and Adaptive Card template

Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust Python applications. \n \n Covers core principles including readability, explicit code, EAFP exception handling, and modern type hints with generics and protocols \n Includes practical patterns for error handling, context managers, comprehensions, generators, dataclasses, and decorators with runnable examples \n Addresses concurrency patterns for I/O-bound (threading, async/await) and CPU-bound (multiprocessing)

Production-ready FastAPI patterns with Pydantic v2, SQLAlchemy 2.0 async, and JWT authentication. \n \n Domain-based project structure, async database setup with SQLAlchemy 2.0, and dependency injection patterns for maintainable APIs \n Comprehensive JWT authentication with password hashing, token generation, and protected routes using OAuth2 \n Prevents 7 documented issues including form data validation bugs, background task overwrites, Pydantic v2 migration breaking changes, and async event lo