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Multi-platform lead scraping from Google Maps, social media, websites, and search engines. \n \n Supports 16+ Actors covering Google Maps, Instagram, TikTok, Facebook, YouTube, LinkedIn, Google Search, and contact enrichment \n Dynamically fetches Actor schemas via mcpc CLI to determine required and optional input parameters before execution \n Outputs results as quick chat summaries, CSV, or JSON files with configurable result limits \n Requires APIFY_TOKEN in .env file and Node.js 20.6+ for en

Modern Python package creation with pyproject.toml, setuptools, and PyPI publishing. \n \n Covers source layout (recommended), flat layout, and multi-package project structures with complete pyproject.toml examples \n Supports CLI tools via Click or argparse with entry point configuration, dynamic versioning, and namespace packages \n Includes build, distribution, and automated publishing workflows for PyPI with GitHub Actions integration \n Provides patterns for data files, C extensions, editab

Comprehensive testing strategies for JavaScript/TypeScript using Jest, Vitest, and Testing Library. \n \n Covers unit testing, integration testing, and component testing with patterns for pure functions, classes, async code, and React hooks \n Includes mocking strategies: module mocking, dependency injection, and spying on functions for isolated test execution \n Provides API and database integration test examples with real request/response handling and transaction cleanup \n Supports snapshot t

Production-ready Dataverse SDK patterns with error handling, batch operations, and optimization techniques. \n \n Demonstrates exponential backoff retry logic for transient errors, batch CRUD operations with error recovery, and OData query optimization using filters, selects, expands, and paging with correct logical names \n Covers table metadata creation and inspection, custom column definitions with IntEnum option sets, and cache flushing strategies when schema changes \n Includes configuratio

Generate comprehensive API documentation from OpenAPI specs, code comments, and interactive examples. \n \n Supports OpenAPI/Swagger specification generation with full schema definitions, request/response examples, and security schemes \n Includes JSDoc and decorator-based documentation extraction from TypeScript/Express codebases for automatic spec generation \n Provides Swagger UI integration for interactive API exploration with try-it-out functionality \n Covers authentication patterns, pagin

Javadoc best practices for documenting Java types, methods, and members. \n \n Public and protected members require Javadoc comments; package-private and private members are encouraged, especially for complex code \n Use standard tags: @param for parameters, @return for return values, @throws for exceptions, @see for cross-references, and @since for version tracking \n First sentence serves as summary description and should end with a period; parameter descriptions start lowercase without period

JavaScript/TypeScript SDK for running AI apps, building agents, and integrating 150+ models. \n \n Supports running AI apps with basic execution, fire-and-forget, and streaming progress modes; includes automatic file upload and stateful sessions to keep workers warm across calls \n Agent SDK enables both template-based agents from your workspace and ad-hoc agents with custom tools, system prompts, and temperature control \n Tool builder API provides four tool types: client tools (run in your cod

Complete TypeScript MCP server project generator with tools, resources, and transport configuration. \n \n Scaffolds a full Node.js/TypeScript project with @modelcontextprotocol/sdk, zod validation, and choice of HTTP (Express) or stdio transport \n Generates at least one production-ready tool with schema validation, error handling, and structured content responses \n Includes tsconfig.json with ES modules, proper package.json setup, and dev tooling (tsx/ts-node) \n Optionally adds resources wit

Execute arbitrary Python code in a sandboxed environment with 100+ pre-installed libraries. \n \n Supports data processing (NumPy, Pandas, SciPy), web scraping (requests, BeautifulSoup, Selenium, Playwright), and image/video manipulation (Pillow, OpenCV, MoviePy) \n Includes 3D model processing (trimesh, open3d), PDF generation (reportlab, pypdf2), and SVG creation (svgwrite, cairosvg) \n Configurable timeout (1–300 seconds), output capture, and working directory; optional high-memory variant (1

Algorithmic philosophies are computational aesthetic movements that are then expressed through code. Output .md files (philosophy), .html files (interactive viewer), and .js files (generative algorithms).