Skill UI

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.

An expert guide for developing production-grade AI applications, chatbots, and generative UIs using the Vercel AI SDK, Next.js, and React. Covers core concepts including streaming text (`streamText`), managing chat state (`useChat`), implementing complex tool/function calling, and ensuring robust structured data generation (JSON schemas) across multiple LLM providers.

A comprehensive multi-agent feedback loop inspired by Generative Adversarial Networks (GANs), designed to build complex, production-ready applications. It separates generation from evaluation, using a 'ruthlessly strict' evaluator (QA) to drive continuous iteration. This process ensures high design quality, robust functionality, and originality, overcoming the limitations of single-agent self-critique. Ideal for full-stack feature development and complex product specification implementation.

Generate structured specification files optimized for Generative AI consumption. Define requirements, constraints, and interfaces clearly using standardized Markdown templates. Ensure machine-readability and self-containment for effective AI processing and implementation.

Update existing specification files for solutions based on new requirements or code changes. Ensures documentation is optimized for Generative AI consumption, machine-readable, and self-contained. Follows structured formatting standards including requirements, constraints, interfaces, and acceptance criteria to facilitate AI-driven development workflows.

This skill provides the comprehensive reference architecture and implementation patterns for integrating Runway's advanced AI capabilities. It focuses on guiding developers through the process of AI video generation, image-to-video conversion, and creative content creation using the dedicated Python SDK. Use this when building applications that require high-quality, generative visual media.

This guide assists in building robust, mechanism-driven theories for academic manuscripts, particularly in organizational science. It teaches the critical distinction between process theories (explaining how and why things unfold) and variance theories (explaining how much things vary). It emphasizes defining generative mechanisms, specifying boundary conditions, and structuring arguments for both inductive and deductive research designs, ensuring the theory is the core contribution.

A comprehensive preflight checklist for submitting manuscripts to the Journal of Corporate Finance (JCF) via Editorial Manager. This guide verifies critical elements such as the non-refundable submission fee ($340), adherence to formatting rules (e.g., ≤250-word abstract, author-date citations), and inclusion of mandatory declarations (e.g., CoI, generative-AI disclosure, Option C data statement). Use this before finalizing your submission to ensure compliance and minimize desk rejection risks.

Provides comprehensive guidelines for authors submitting to the Journal of Economic Theory (JET). It details mandatory data sharing (Elsevier Option C), ensuring computational reproducibility for numerical examples, and proper declaration of generative AI usage. This playbook helps authors structure their submissions to meet high academic standards of verifiable evidence and transparency.

This skill guides the development of a robust theoretical contribution for Organization Studies manuscripts. It focuses on defining the generative mechanism, process model, or conceptual move that drives the argument, rather than merely describing data or themes. Users learn how to state the core logic, identify actors and structures, specify phases, and define boundary conditions to ensure the contribution is genuinely novel and impactful.

Integrates Power Pages' generative-AI summarization APIs (Search Summary and Data Summarization) into Single Page Applications (SPA) sites. This skill allows users to generate AI-powered summaries, overviews, or key insights from Dataverse content—whether from a single record, a list view, or search results. It is designed for enhancing user experience by distilling complex Dataverse information into easily digestible summaries directly within the Power Pages environment.

This skill creates and deploys generative pages for Microsoft Power Apps model-driven apps using React, TypeScript, and Fluent UI. It orchestrates agents to plan, generate code, and manage entities. Use it for building pages within existing model-driven apps, not standalone web projects.