Skill UI

This comprehensive checklist guides authors through the final pre-submission review process for demanding academic journals. It ensures the manuscript is scientifically rigorous and complete, focusing on critical areas such as model-driven theoretical advancement, model comparison, data reproducibility (depositing code and verifying fit regeneration), and adherence to open science mandates. Use this guide before uploading to the journal's portal.

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.

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.

Entry point for adding native device capabilities to Power Apps mobile apps—camera, image and document pickers, barcode/QR scanning, secure storage, file system, sharing, haptics, PDF generation and viewing, pen capture, and background GPS tracking—through typed wrappers under src/native/.

Compiles an iOS Objective-C/Swift module into a flat device-slice .framework for a .ppmplugin bundle. Mac-only Xcode build, references React-Core headers only and never embeds React or uses CocoaPods. Leaves canonical ios/ sources untouched. Run after manifest generation and before plugin assembly.

Captures a short user pitch, then drafts a product overview (PRD.md) and technical design (ARCHITECTURE.md) for a third-party .ppmplugin native control. Walks through every operation's iOS and Android implementation strategy with opinionated recommendations and iterates with the user until approval. The resulting docs serve as the source of truth for downstream code-generation skills.

Post-generation editor for existing Power Apps mobile apps. Iterate on Application Insights configuration, plan, data model, native capabilities, design, screens, and generated code, with verification and preview.

This skill creates, updates, and deploys generative pages for Microsoft Power Apps model-driven apps using React, TypeScript, and Fluent UI. It orchestrates specialist agents for planning, entity creation, and code generation. Use it when building pages within existing Power Apps environments, supporting connector discovery and custom API bindings. Not for standalone web apps or canvas apps.

A robust utility for generating, summarizing, or rewriting Headless CMS entry content programmatically. Instead of calling an LLM directly, this skill delegates the process to the user's configured AI Power Ups, allowing the use of saved Writers/Readers Personas and Projects. Ideal for implementing bulk actions, lifecycle hooks, or custom mutations, ensuring secure content creation without needing to hardcode API keys or prompts.

This skill enables non-interactive interaction with GitHub Copilot CLI for code reviews, questions, and snippet generation. It requires explicit user consent before sending local files or context to ensure security. It supports session management and read-only operations, avoiding dangerous flags like --yolo.

BlockRun integrates Claude Code with external AI providers via x402 micropayments, enabling image generation, real-time X search, and second-opinion LLM calls with wallet-based budget control.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI analysis. Ideal for building documentation pipelines, standardizing docs across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.