Skill UI

This comprehensive guide sets up a robust and isolated local development environment for Apollo.io integrations. It covers essential steps including configuring sandbox API keys, implementing a Mock Service Worker (MSW) for reliable offline API mocking, setting up detailed request logging, and configuring Vitest for efficient local testing. Ideal for developers building and debugging complex, API-dependent features.

This library serves as a low-level exporter for Python applications, enabling the reliable transfer of comprehensive OpenTelemetry telemetry data—including traces, metrics, and logs—to Azure Application Insights. It provides robust configuration options, including connection string setup, Azure AD authentication, custom sampling, and offline storage management, ensuring complete and reliable observability.

A powerful tool for comprehensive, offline dependency auditing across 8+ programming ecosystems (e.g., Node, Python, Go, Rust). It identifies critical CVE vulnerabilities, license conflicts, and calculates safe upgrade paths, making it essential for pre-release security checks, legal compliance reviews, and major version migrations.

This guide details integrating FoundationModels for running Large Language Models (LLMs) directly on the device (iOS 26). It covers advanced patterns including text generation, extracting structured data using @Generable, implementing custom tool calling for domain logic, and streaming responses for real-time UI updates. Key features emphasize strong privacy and offline capability, ensuring no data leaves the device.

This guide sets up a robust local development workflow for integrating with the Gamma REST API. It includes a reusable client wrapper, a polling helper for handling asynchronous tasks, and a local mock server. Use this setup when building automation scripts, testing API calls offline, or simulating API responses without needing external service credentials or network connectivity.

This skill provides a complete local development loop for Ideogram integrations. It includes a strongly typed client wrapper, a mock server for offline testing (preventing API credit usage), and comprehensive Vitest unit tests. Ideal for setting up robust, fast-iterating development environments and ensuring API reliability.

This guide provides a comprehensive local development environment setup for Internationalization (i18n) using Lokalise. It details configuring the project structure, implementing CLI scripts for synchronizing source strings (push) and translations (pull), setting up file watching for hot reloading, and generating mock translations for robust offline testing. Ideal for developers managing multi-language applications.

Mastery of modern mobile development across multiple platforms, including React Native, Flutter, and native iOS/Android. Expertise covers the entire lifecycle, specializing in architectural patterns (Clean, MVVM), performance optimization, offline-first data synchronization (GraphQL, SQLite), advanced DevOps practices (CI/CD, Fastlane), and App Store Optimization (ASO). Ideal for building robust, scalable, and highly performant cross-platform applications.

This skill automates the setup and configuration of Ollama, allowing users to deploy Large Language Models (LLMs) locally. It performs system assessment (OS, GPU, RAM), selects optimal models based on hardware availability, and handles installation across macOS, Linux, and Docker. Use this when you require free, self-hosted AI alternatives, need offline inference capabilities, or wish to eliminate reliance on costly hosted API services.

A comprehensive guide on implementing failover and fallback mechanisms for Large Language Models (LLMs) when using OpenRouter. This skill covers native model fallbacks, provider routing strategies, and advanced client-side fallback chains. Use this pattern when building mission-critical or highly resilient systems that must maintain service availability even if a primary model or an entire provider goes offline. It ensures robust API integration and graceful degradation.

This skill provides production-ready architectural patterns for building robust mobile applications using React Native and Expo. It covers complex topics like state management, sophisticated navigation flow, integrating native modules, and implementing offline-first capabilities. It is ideal for starting new projects or optimizing existing large-scale React Native applications.

This guide details advanced patterns for building fault-tolerant Sentry integrations. It addresses critical real-world failure points, such as SDK initialization failures, network outages, and abrupt process shutdowns. By implementing graceful degradation, circuit breakers, and durable offline queuing, applications can ensure core functionality remains online and stable, even when the external error tracking service is unreachable or degraded.