Skill UI

A comprehensive guide for designing cross-device applications across the Apple ecosystem. This skill helps developers adhere to the specific Human Interface Guidelines (HIG) for various platforms—including iOS, macOS, watchOS, tvOS, and visionOS. It emphasizes adapting design principles (e.g., touch-first vs. pointer-based vs. spatial) while maintaining brand consistency, ensuring a native and optimal user experience regardless of the operating system.

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.

Execute complex and compute-intensive workloads directly on fully managed Hugging Face cloud infrastructure. This skill eliminates the need for local setup, allowing users to run jobs using cloud CPUs, GPUs, or TPUs. Ideal for large-scale data processing, batch inference, reproducible model training, and scheduled automation tasks, while persisting results to the Hugging Face Hub.

This sophisticated writing editor is designed to analyze and rewrite content, removing the predictable and sterile patterns common in AI-generated text. It addresses issues such as inflated symbolism, passive voice, vague attributions, and generic phrasing, helping the text sound genuinely human. Advanced features allow the tool to analyze a user's existing writing sample to match a unique voice and inject appropriate personality and rhythm.

Identifies and rewrites AI-generated phrasing by removing inflated claims, promotional language, formulaic structures, and robotic cadence so reviewed prose sounds natural, varied, and personality-driven.

Automates Hunter.io email intelligence via the Composio MCP integration so teams can search domains, locate specific contacts, verify deliverability, manage leads, and monitor quotas through natural language commands.

A comprehensive guide covering Internationalization (i18n) and Localization (L10n) best practices. It details how to build applications that can support multiple languages, regions, and text directions (RTL). Covers implementation patterns for React, Next.js, and Python, along with essential guidelines for handling date/number formats and managing translation keys.

A comprehensive framework for managing availability and reliability incidents (outages, degradations, failed deploys). It guides the entire lifecycle, from automated severity classification (SEV1-SEV4) and timeline reconstruction to multi-team coordination and structured post-incident review (PIR). Essential for SRE and DevOps teams leading major incident responses.

This skill provides a comprehensive, multi-phase guided workflow for professional incident response management. Following modern SRE principles and the Incident Command System (ICS), it guides users from initial detection and triage (P0-P3 classification) through deep investigation (observability, debugging, security checks), culminating in structured resolution and post-mortem analysis. Use this when managing critical system outages or performance degradation.

Automate Instantly cold email outreach via the Composio MCP integration by issuing natural language commands to create and manage campaigns, configure schedules, import bulk leads, manage sending accounts, and monitor campaign analytics.

This skill provides comprehensive tools for managing lead data within the Instantly platform. It handles lead list creation, robust lead imports with validation (e.g., block list checks, email format checks), and essential updates (move, status change). Crucially, it ensures compliance with international regulations like GDPR and CAN-SPAM by managing unsubscription flows and deletion rights.

This guide provides advanced techniques for optimizing API integrations, specifically for handling high-volume data operations and rate limits. It covers implementing robust caching strategies for analytics data, managing lead inputs via controlled batching and concurrency, and utilizing prefetching for efficient pagination. It also demonstrates connection pooling using keep-alive mechanisms to maximize throughput and minimize latency.