Skill UI

This comprehensive guide details the methodology for reverse engineering macOS and Mach-O binaries. It covers analyzing application bundles, deciphering Objective-C/Swift symbols, examining code signing and hardened runtime features, and performing both static (using tools like Ghidra, IDA) and dynamic analysis (using lldb, Frida) to aid in malware analysis and platform security research.

This skill processes raw, report-only optimization observations generated by Caveman tools. It guides the user through an evidence-first, rigorous evaluation process, requiring explicit operator choice, designing a minimal candidate change, and performing a paired baseline evaluation using identical fixed inputs. It ensures that any proposed code change is validated against quality checks and established performance metrics before implementation.

This skill addresses the common problem of documentation decay in long-lived software projects. It establishes a canonical governance layer by assigning four non-overlapping roles—Constitution, Map, Status, and History—to existing documentation. By linking these roles to the active agent harness, it prevents documentation drift, ensuring that all project information remains accurate, authoritative, and contextually linked to the current codebase, making it ideal for the maintenance phase.

A comprehensive guide and shared vocabulary for designing and structuring complex software modules. Use this when you need to refine an existing module's interface, identify opportunities for deepening its capabilities, determine optimal internal seams, or improve code testability and AI-navigability. It establishes clear principles for Module, Interface, Depth, and Seam.

A comprehensive guide for designing and implementing professional, data-driven dashboards across web, iOS, and Flutter. It details core principles like modular grid layouts, establishing data hierarchy (KPIs, charts), and maintaining minimalist aesthetics. Includes specific code examples using CSS Grid, SwiftUI, and Flutter widgets to ensure optimal user experience and data clarity.

Master secure Electron desktop app development: multi-process architecture, contextIsolation, IPC communication, preload scripts, electron-builder packaging, code signing, and auto-update strategies.

A comprehensive toolset to scaffold, build, sign, and package SwiftPM-based macOS applications entirely without requiring an Xcode project. It guides users through the end-to-end process, including setting up the project, running the app, performing code signing, notarization, and generating update appcasts for robust, reproducible releases.

A comprehensive style guide and implementation reference for the Retro Futurism aesthetic. Perfect for designing interfaces that evoke the 1950s and 1960s space age, atompunk, or mid-century modern vibes. It outlines core principles, color palettes, typography, and provides cross-platform code examples (CSS, SwiftUI, Flutter, React Native) to achieve sleek, aerodynamic, chrome finishes.

This skill provides best practices for designing reusable Makepad widgets based on Robrix and Moly codebase patterns. It covers production-ready patterns like modal overlays, collapsible sections, drag-and-drop, and dynamic styling. Ideal for creating component APIs and optimizing view caching in Rust-based UI development.

A comprehensive guide for designing futuristic, tactical Heads-Up Displays (HUDs) and user interfaces. This skill provides core principles, visual DNA, and ready-to-implement code snippets for Web (CSS/SVG), App (SwiftUI), and Mobile (Flutter) platforms. Perfect for creating high-tech, sci-fi, or military-themed dashboards, featuring circular radars, minimalist strokes, and technical monospace typography.

This skill identifies hidden risks in code changes beyond the diff and verifies safety by executing real code. It helps determine the blast radius of modifications before merging or designing, ensuring multi-file edits and shared path updates do not break existing clients or systems.

Shared vocabulary and principles for designing deep modules with small interfaces, clean seams, and testable, AI-navigable codebases.