Skill UI

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 skill acts as the central orchestrator for writing and submitting manuscripts to the Journal of the American Academy of Religion (JAAR). It guides authors through the entire writing lifecycle, emphasizing the critical 'reframing test' to ensure the work addresses issues of broad, fundamental interest to the study of religion, rather than remaining confined to a narrow subfield. It provides a structured path from initial idea generation to final submission and revision.

This skill guides the generation of a professional and highly structured revision response package for top-tier academic journals. It specifically addresses multi-round, double-blind review processes, ensuring every reviewer comment is addressed point-by-point. The output includes a summary statement, a detailed response table, and the marked revision manuscript, all while adhering to strict rules against identity leakage, making it ideal for streamlining the academic publishing workflow.

This skill serves as the central orchestrator for submitting manuscripts to the Journal of Communication (JoC). It does not write content but guides the user through the entire academic lifecycle, from initial idea generation and literature positioning to final submission and rebuttal. It determines the appropriate content format (e.g., original article, Forum post) and routes the user to the specific, necessary sub-skills required at that stage, ensuring a structured and comprehensive academic workflow.

This guide details the methodology for packaging scientific artifacts (code, solvers, data, logs) for machine learning submissions. It focuses on creating double-blind, self-contained ZIP archives that allow reviewers to independently and quickly verify complex probabilistic claims, even under strict time constraints. It covers best practices for anonymity, structured README generation, and handling data/licensing.

This core skill is designed for academic publishing, combining deep AI research with structured, professional writing. It guides the creation of manuscripts using IMRAD structure and handles complex citation styles (APA, AMA, etc.). Crucially, it mandates the generation of graphical abstracts and rich technical schematics to ensure the highest level of visual rigor for research papers.

OpenSquilla-compatible adapter that generates browser-playable AI audio such as voiceovers, narration, music, and sound effects through OpenRouter audio models. It streams OpenAI gpt-audio output, writes WAV assets, and reports structured AUDIO_READY manifests for webpage integration.

The Diagram Generator converts complex, unstructured inputs—such as natural language, code snippets, schemas, and notes—into professional, editable visual diagrams. It supports diverse standards including Mermaid, PlantUML, and Graphviz, enabling the creation of flowcharts, sequence diagrams, UML models, ER diagrams, architecture maps, and more. Outputs are designed to be reviewable, version-controllable, and highly precise.

This skill implements an advanced reference pattern for integrating with Monitoring Control Platform (MCP) servers. It ensures accurate data retrieval by first reading a domain-specific 'gotchas' reference file, mitigating query failures caused by complex server behaviors, pagination limits, or subtle API quirks. It analyzes issue data, groups errors by root cause, and generates a structured, actionable markdown report for improved system health visibility.

This skill generates a comprehensive, structured catalogue of all key concepts found within a talk's summary and timeline. It categorizes each concept and scores its potential for presentation (HIGH/MEDIUM/LOW) to help users identify the strongest narrative angles. The output is designed to serve as a structured inventory, guiding the subsequent positioning and content development stages.

This utility is designed to automatically generate professional, formatted reports from structured data sources. Users simply provide the designated data input, and the system handles the entire report generation process, ensuring high consistency and quality across all resulting documents. It is ideal for data analysts and business intelligence users who require standardized reporting.

Automates the generation of the Power Apps Component Framework (PCF) companion dispatcher. This tool bridges third-party native modules (like .ppmplugin) to the Power Apps host environment by utilizing the window.PowerApps.NativeExtension.sendAsync global. It handles manifest updates, message contract generation, and structured logging, enabling seamless native-to-UI communication within the Power Apps ecosystem.