Skill UI

A comprehensive workflow designed for creating, maintaining, and deploying high-quality API documentation. This process guides users through several phases, including API discovery, generating OpenAPI specifications (Swagger), writing detailed developer guides, adding functional code examples, setting up interactive testing interfaces, and structuring the final documentation site.

A comprehensive workflow designed for creating, maintaining, and deploying high-quality API documentation. This process guides users through several phases, including API discovery, generating OpenAPI specifications (Swagger), writing detailed developer guides, adding functional code examples, setting up interactive testing interfaces, and structuring the final documentation site.

This SDK provides the management plane interface for Microsoft Playwright Testing workspaces within Azure Resource Manager (ARM). It allows developers to programmatically provision, manage, list, update, and check quotas for Playwright workspaces. It is designed for setting up the testing infrastructure in .NET environments, not for running the tests themselves.

Provides comprehensive guidance for developing robust, cross-platform Command Line Interface (CLI) applications. Covers the entire workflow from initial UX analysis and command design to implementation using popular frameworks (e.g., commander, click, cobra). Key features include advanced argument parsing, handling shell completions, displaying progress bars, and ensuring reliable terminal interactions across Windows, macOS, and Linux.

A comprehensive guide to utilizing a core, token-driven component library and design system patterns. It details best practices for managing UI styles—including spacing, color, and typography—by using semantic design tokens instead of hard-coded values. Ideal for building consistent, scalable, and maintainable user interfaces across different platforms.

This tool generates comprehensive API contracts and OpenAPI specifications (3.0/3.1) from existing codebases, design documents, or schemas. It establishes a single source of truth for APIs by producing machine-readable contracts, supporting documentation, robust testing (including consumer-driven testing via Pact), and code generation. Use it when you need to define, verify, and document complex service interfaces.

Curated guidelines covering idiomatic Go error handling, interface design, concurrency patterns, context propagation, testing, and module management for reliable team codebases.

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for designing and implementing core content components (e.g., Charts, Collections, Image Views, Web Views). It provides best practices for cross-platform adaptation, accessibility, visual hierarchy, and performance optimization across iOS, macOS, tvOS, and visionOS.

A comprehensive guide detailing Apple's Human Interface Guidelines (HIG) for integrating apps into system surfaces. Covers best practices for widgets, Live Activities, notifications, complications, App Clips, and other system components, ensuring apps provide glanceable, contextual utility outside the main app environment.

Provides comprehensive best practices for designing user interfaces that support diverse input methods across the Apple ecosystem. This guide covers everything from standard gestures, Apple Pencil interactions, keyboard shortcuts, to specialized inputs like the Digital Crown, eye tracking, and motion sensors, ensuring cross-platform consistency and optimal user experience.

This comprehensive guide outlines Apple's Human Interface Guidelines (HIG) for various technologies and user flows (e.g., Siri, Apple Pay, HealthKit, ARKit, Generative AI). It teaches developers how to ensure their applications feel natively integrated, respect user privacy, and adhere to established platform patterns across iOS, macOS, and other Apple devices. Essential reading for building high-quality, compliant, and seamless user experiences.

This skill provides comprehensive reference architectures for integrating Lindy AI agents into production applications. It covers various complex patterns, including simple webhook callbacks, sophisticated event-driven pipelines, multi-agent delegation systems, scheduled workflows, and RAG-powered customer chat interfaces. Essential for designing and building robust, scalable, and reliable AI-powered systems.