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Advanced TypeScript type systems, generics, branded types, and end-to-end type safety with tRPC integration. \n \n Covers branded types, discriminated unions, conditional types, mapped types, and custom utility types for domain-driven type modeling \n Includes type guards, assertion functions, and exhaustive pattern matching to enforce compile-time safety across state machines and APIs \n Provides tsconfig best practices with strict mode, incremental compilation, project references, and declarat

Production-tested patterns for FastAPI with Pydantic v2, SQLAlchemy 2.0 async, and JWT authentication.

Generate production-ready MCP servers in Ruby using the official SDK with complete project scaffolding. \n \n Generates a full project structure with tools, prompts, resources, tests, and configuration files following Ruby conventions \n Includes input/output schemas, tool annotations, and structured content support for type-safe MCP implementations \n Provides example tools (greet, calculate), prompts (code review), and resources with comprehensive test coverage using Minitest \n Supports stdio

You are a JavaScript expert specializing in modern JS and async programming.

Monitor brand reputation across Google Maps, Booking.com, TripAdvisor, Facebook, Instagram, YouTube, and TikTok. \n \n Supports 16+ dedicated Apify Actors covering reviews, ratings, comments, and mentions across all major platforms \n Flexible output formats: display results in chat, export to CSV, or save as JSON for downstream analysis \n Requires Apify token and Node.js 20.6+; uses mcpc CLI to dynamically fetch Actor schemas and input parameters \n Workflow guides users through platform selec

Centralized, typed configuration management using environment variables and pydantic-settings. \n \n Load and validate all configuration into typed objects at application startup, with required settings crashing immediately if missing \n Supports nested configuration groups, type coercion, custom validators, and environment-specific behavior switching \n Provides sensible defaults for local development while enforcing explicit values for secrets and production settings \n Integrates with .env fi

Command-line PDF manipulation covering merging, splitting, encryption, form filling, watermarking, and metadata extraction. \n \n Supports 12+ operations including merge, split, rotate, encrypt/decrypt, burst, stamp, watermark, and repair \n Fill PDF forms from FDF/XFDF data with optional flattening to lock filled fields \n Extract and manipulate metadata, bookmarks, and embedded files; collate separately scanned pages \n Cross-platform installation via package managers (Windows, macOS, Linux) w

Multi-platform trend discovery and tracking across Google Trends, Instagram, Facebook, YouTube, and TikTok. \n \n Supports 19 specialized Apify Actors covering search trends, hashtag tracking, engagement metrics, and viral content discovery across five major platforms \n Dynamically fetches Actor schemas using mcpc CLI to retrieve input parameters and output fields before execution \n Outputs results in three formats: quick chat display, CSV export, or JSON export with customizable result counts

Static type checking with annotations, generics, protocols, and strict mode enforcement. \n \n Covers type annotations, generics with TypeVars, structural protocols, and type narrowing patterns for catching errors at analysis time \n Includes modern syntax (Python 3.10+ union types), bounded type variables, and generic repository patterns for type-safe APIs \n Provides configuration guidance for mypy strict mode and incremental adoption strategies for existing codebases \n Demonstrates 10 fundam

Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. \n \n Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code \n Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals \n Tool-level governance decorator enforces policies at fu