Skill UI

A comprehensive guide to using the Apify Client SDK. Learn the fundamental pattern of executing remote web scraping Actors (like content crawling or general scraping), managing asynchronous run states, and retrieving structured data from resulting datasets and key-value stores. Essential for integrating powerful web scraping capabilities into applications.

This guide details how to set up and test Apify Actors locally using the Apify CLI. It emulates the full platform environment (including datasets, key-value stores, and request queues), allowing developers to run scrapers, test data handling, and debug the entire development lifecycle before deploying to the cloud. Perfect for rapid iteration and rigorous local testing.

A comprehensive guide to building robust, production-ready applications using the Apify SDK and apify-client in TypeScript. Covers advanced topics like standardized client singleton patterns, selecting the right Crawlee crawler (Cheerio, Playwright, Puppeteer), implementing robust Actor lifecycles, and managing dataset/key-value store operations.

A comprehensive guide for safely upgrading and migrating between Apify core packages, including apify-client, apify, and crawlee. This skill is essential for handling major breaking changes, particularly the transition from Apify SDK v2 to v3, which separated crawling functionality into the dedicated 'crawlee' package. It provides detailed steps for version checking, dependency management, and code refactoring.

A comprehensive debug bundle designed to collect diagnostic evidence from AppFolio property management API integrations. It captures essential data points including API connectivity status for properties, tenants, and work orders; authentication status using client credentials; recent integration error logs; and environment metadata. This allows support engineers to perform root cause analysis and diagnose issues like connectivity failures or authentication rejections without needing live environment access.

This SDK provides production-ready TypeScript patterns for integrating with the AppFolio property management REST API. It includes a singleton client for centralized credential management, robust error wrappers (handling 429 rate limits and 401 auth errors), a flexible query builder for filtering data, and structured interfaces for core entities like Properties, Tenants, and Leases. Use it to build reliable, scalable automation workflows for real estate operations.

This guide provides production-ready architectural patterns for integrating the AssemblyAI SDK in TypeScript and Python. It details best practices including implementing Singleton clients, robust service wrappers, advanced error handling (like exponential backoff retries), and multi-tenant client management. Use this when building highly scalable and reliable speech-to-text applications.

This module provides production-ready, type-safe patterns for interacting with the BambooHR REST API, supporting TypeScript and Python. It wraps raw HTTP calls into robust, retry-aware clients, handling complex tasks like error management and multi-tenancy. Use this when building reliable, enterprise-grade integrations with BambooHR.

This skill allows users to manage Box cloud storage as if it were a local filesystem. It supports two modes: transparent auto-syncing via hooks (on Write/Edit) and explicit operations using the Box CLI. It provides structured workflows for document management, collaborative syncing, and reliable version control.

This skill provides comprehensive integration for TP-Link Tapo cameras (models like C200, C310, etc.). It supports streaming via RTSP and ONVIF protocols, allowing users to discover cameras on the network, capture motion-triggered video clips, and maintain stable live video feeds. Setup requires basic network credentials and Python environment setup.

A comprehensive guide detailing 10 common mistakes and best practices when integrating with the Anthropic API (Claude). It covers critical technical aspects such as correctly setting `max_tokens`, using the top-level `system` parameter, managing message alternation, checking `stop_reason`, and optimizing client initialization for robust AI application development.

This guide sets up a fast, cost-effective local development loop for building applications powered by the Anthropic API (Claude). It includes instructions for hot reloading, cost-saving tips (e.g., using Haiku, token limits), and mock client implementation for robust unit testing. It supports both TypeScript/Node.js and Python environments, streamlining the AI development workflow.