Skill UI

This guide provides advanced architectural patterns to optimize interactions with the Perplexity Sonar API. By implementing smart model routing, query hashing with time-to-live (TTL) caching, streaming responses, and rate-limited parallel processing, developers can significantly reduce latency, improve overall throughput, and manage API costs. Ideal for integrating complex, research-intensive search-augmented applications.

This skill provides a comprehensive pattern for optimizing bulk API interactions. It enables efficient processing of large arrays of operations by supporting both synchronous (for small batches) and asynchronous (for large batches) execution. Key features include concurrency control, robust partial failure handling, progress tracking via background workers, and dedicated validation steps, ensuring reliable data throughput for high-volume requests.

This skill provides implementation patterns for developing local voice agents and automating phone calls using the Retell AI SDK. It guides developers through the necessary steps for integrating complex real-time voice interactions, telephony platforms, and building automated customer service agents, ensuring robust development and error handling practices.

Provides a comprehensive guide and framework for executing end-to-end (E2E) tests. It simulates real user interactions across the entire application stack, covering browser UI, API calls, and database operations. The guide details best practices like implementing the Page Object Model (POM), configuring multi-browser environments (Playwright, Cypress, Selenium), and establishing robust error handling mechanisms to ensure high application stability and quality.

This guide provides robust patterns for managing external API rate limits, specifically detailing the implementation of exponential backoff, request queuing, and throttling strategies. It uses TypeScript examples to ensure stable and reliable API interactions. Use this when building production-grade applications that require frequent, high-volume calls to rate-limited services, such as language learning APIs.

This guide demonstrates the fundamental "Hello World" query using the Supabase JS/Python client. It covers creating a structured table, enabling Row Level Security (RLS), inserting a record, and successfully selecting it back. This is essential for verifying project connectivity, understanding the basic data round-trip pattern, and mastering initial database interactions in a new Supabase environment.

Execute end-to-end automated testing for mobile applications across both iOS and Android platforms. This skill simulates real user interactions, covering UI flows, gestures (swipe, pinch), form validation, and platform-specific behaviors (e.g., Safe Area handling, Android back button logic). It supports industry-standard frameworks like Appium, Detox, and Maestro, making it essential for ensuring cross-platform quality assurance and robust CI/CD pipelines.

A comprehensive utility suite for handling external API rate limits, specifically designed for services like TwinMind. It implements advanced patterns including exponential backoff with jitter and request queue management. Use this to ensure resilient, high-throughput, and stable interactions with resource-constrained AI APIs, minimizing 429 errors.

Master advanced testing strategies for smart contracts using industry-leading frameworks like Hardhat and Foundry. This skill covers unit testing, integration testing, gas optimization analysis, fuzzing for edge cases, and simulating real-world mainnet interactions via forking. Ideal for ensuring the security and reliability of decentralized applications (DApps).

A comprehensive toolkit for automating and testing local web applications using Python and Playwright. It supports complex dynamic interactions, managing server lifecycles, identifying stable selectors, capturing visual evidence (screenshots), and debugging UI behavior. The guides follow a robust 'Reconnaissance-Then-Action' pattern for reliable end-to-end testing.

This skill provides a comprehensive framework for performing end-to-end UI testing and verification on Android emulators. It guides users through systematic processes including device calibration, UI element discovery using uiautomator, performing complex interactions (tap, swipe, input), and robust reporting via visual screenshots and logcat analysis. Ideal for ensuring the stability and functional correctness of React Native or native Android applications.

A comprehensive guide for managing user interactions and system lifecycle events within the Makepad UI framework. It covers handling various input types (mouse, touch, keyboard), lifecycle events (Startup, Shutdown), and propagating custom actions between widgets and their parents. Essential for building highly responsive and interactive graphical user interfaces.