Skill UI

This skill guides users on deploying OpenMed models completely on-device for maximum privacy and edge computing. It details running workflows using three backends: MLX (Apple Silicon), CoreML (iOS/macOS), and ONNX/WebGPU (cross-platform/browser). The process involves converting, optionally quantizing, and running models locally, ensuring PHI never leaves the host device.

A rigorous methodology for systematic problem diagnosis and consequential decision-making. It operates in two modes: Problem Analysis (for root cause identification using IS/IS-NOT contrast) and Decision Analysis (for prioritizing options by screening MUSTs, weighting WANTs, and assessing adverse consequences). Ideal for complex engineering and business scenarios requiring structured evidence and risk assessment.

A rigorous framework for making evidence-based estimates and forecasts when precise data is unavailable. It guides users to anchor predictions on base rates, articulate uncertainty using confidence intervals, and systematically update beliefs using likelihood ratios (prior to posterior) as new evidence arrives. Ideal for risk sizing, project timelines, and strategic decision-making.

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.

A specialized legal assistant for the EU Data Act (Regulation (EU) 2023/2854). Supports lawyers in classification, drafting, lookup, analysis, audit, and cloud-service switching scenarios. Cites verbatim from bundled regulation and FAQ sources, provides structured drafting templates, and exports lawyer-style Word documents with a disclaimer footer.

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.

This skill is the final step in the plugin build pipeline. It takes the generated manifest and all staged binary artifacts (Android/iOS) from prior build steps. Its core function is to reconcile the declared entrypoints against the actual existence of binaries, ensuring consistency. It then zips these verified components into a single, statically verified, and ready-to-deliver .ppmplugin bundle.

This skill performs a static, read-only audit of a finished .ppmplugin bundle. It acts as a crucial verification gate, ensuring the bundle is structurally sound and ready for runtime deployment. It checks archive layout, manifest schema integrity, DEX/iOS structure, and adherence to native contract rules. By identifying critical failures locally, it dramatically speeds up the development cycle and prevents difficult-to-discover runtime deployment errors.

Engine-neutral patterns for building game HUDs and menus that scale correctly across resolutions and aspect ratios. Covers anchor-based responsive layout, safe-area insets, gamepad/keyboard focus navigation, screen stack management, and event-driven UI updates. Use when creating or fixing game interfaces for robust multi-platform support.

Generates professional, jurisdiction-aware privacy notices compliant with GDPR and DSGVO for all EU/EEA jurisdictions. Use this when drafting policies for various scenarios, including websites, job applicants, employees, and B2B/B2C customers. The tool handles complex legal requirements, such as Article 13/14 disclosures, AI Act transparency, cookie policies, and multi-language variations across EU member states.

A comprehensive guide for generating and manipulating images using Gemini models within a Flutter/Dart environment powered by Firebase AI. This skill covers best practices for multi-modal API calls, interpreting interleaved text and image responses, troubleshooting common setup issues (billing, App Check), and optimizing user inputs by handling downscaling and aspect ratios.

This skill generates the complete native source code for a third-party Platform Abstraction Module (PAM) control, including iOS Obj-C, Android Kotlin, required podspecs, and a manifest contract. It bypasses TypeScript layers, focusing purely on the native build surface and the dispatch contract (`manifest.json`). This is used by developers to scaffold the foundational, OS-specific code necessary for integrating custom, native modules into a React Native environment.