Skill UI

A comprehensive developer reference covering the full spectrum of Shopify development, including Liquid templating, OS 2.0 architecture, GraphQL APIs (Admin and Storefront), and modern headless solutions using Hydrogen. This guide assists in building advanced themes, custom apps, implementing serverless business logic via Functions, and optimizing performance for modern e-commerce storefronts.

This guide details setting up a robust CI integration pipeline for Speak language learning platform integrations. It utilizes GitHub Actions with mocked API testing and audio validation to ensure code reliability and functional correctness before deployment. Ideal for developers managing complex language learning products and APIs.

This workflow provides an AI-powered platform for immersive conversation practice. It uses advanced language models (like GPT-4o) and real-time speech APIs to simulate real-life scenarios (e.g., ordering food, navigating). Users receive immediate, detailed feedback on pronunciation (phoneme level), grammar corrections, and vocabulary notes, making it an ideal core module for building language fluency and simulating professional tutoring experiences.

This guide provides a comprehensive deep dive for migrating language learning platforms, covering everything from importing student progress to transitioning from legacy speech APIs. It details configuration using modern SDKs, integrating services like OpenAI's GPT-4o and Whisper, and includes verification steps. It is essential for managing complex platform migrations and ensuring a smooth operational transition.

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.

Guides Spring Boot 3.x engineers through configuration scaffolds, REST controllers, Spring Security 6 authentication flows, Spring Data JPA repositories, and reactive WebFlux endpoints, making it easier to build microservices and Java REST APIs.

A comprehensive guide for migrating and upgrading the Supabase SDK (JS/TS and Python) and CLI. This tool detects breaking changes, covers major version jumps (e.g., v1 to v2), and provides automated code migration patterns for Auth, Realtime, and Storage APIs. Use this when updating your project to a new Supabase version or when encountering API deprecations.

This comprehensive guide demonstrates how to achieve highly testable Swift code using protocol-based dependency injection. By abstracting external concerns—such as file systems, networking, and external APIs—into small, focused protocols, developers can write deterministic unit tests that mock side effects and error paths, ensuring robust architecture across different environments (App, Test, Preview).

This skill provides a comprehensive collection of quick-start templates for developing applications across diverse tech stacks. Users can quickly scaffold full-stack web apps (Next.js), SaaS products, REST APIs (Express, FastAPI), mobile apps (Flutter, React Native), and specialized tools like CLI utilities. It ensures the initial project setup adheres to modern best practices, saving significant time during the initial development phase.

Automates Composio Textit workflows through Rube MCP APIs, guiding you to search tool schemas, manage Textit connections, and execute operations while reusing sessions, filling memory placeholders, and respecting pagination tokens.

This comprehensive skill provides advanced architectural patterns for implementing robust API throttling and rate limiting policies. It covers critical concepts like concurrency limiting, priority queuing, circuit breakers, and adaptive throttling that adjust limits based on real-time backend health metrics (p95/p99 latency). Use this when designing resilient, scalable backend services that must protect themselves from overload and maintain stability under high load.

This skill provides advanced guidelines for designing robust and effective tools specifically for autonomous AI agents. It shifts the focus from traditional developer APIs to contracts optimized for Language Models (LLMs). Key topics covered include treating tool descriptions as prompt engineering, implementing namespacing, applying the Consolidation Principle, and utilizing Architectural Reduction patterns (like file system access) to maximize agent reliability and workflow complexity.