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Found 10 Skills
Advanced window and view management patterns for Electrobun desktop applications. This skill covers multi-window architectures, BrowserView for embedded webviews, window lifecycle management, window orchestration, tab systems, and complex window hierarchies. Use this skill when building applications with multiple windows, implementing browser-like tab interfaces, managing parent-child window relationships, creating floating panels or toolbars, implementing picture-in-picture modes, managing window state persistence across sessions, or building applications that require sophisticated window coordination. Triggers include "multiple windows", "tab system", "BrowserView", "window orchestration", "floating window", "child window", "window state", "window manager", "multi-window app", or discussions about complex window management in Electrobun desktop applications.
Modernizes UIKit apps for multi-window environments by replacing legacy shared-state APIs with context-appropriate modern alternatives. This includes references to mainScreen, interfaceOrientation, application and scene lifecycle, as well as safe area inset updates.
Desktop-specific UX principles - hover states, pointer precision, keyboard shortcuts, multi-window, focus management. Covers macOS, Windows, Linux, web desktop.
Use the iPhone Duo hinge angle for interactions and effects, support Split View multitasking and multiple app scenes, and pair UI across both displays with scene accessories including CameraCaptureAccessory. Use when building fold-driven effects, multi-window support, or dual-display experiences.
Build multi-window Meta Horizon OS experiences with the MetaVrx Layout SDK in Jetpack Compose or React Native. Covers framework selection, setup, anchoring, semantic offsets, window promotion, fallback, priority, lifecycle, and theming. Use for apps that need multiple app-owned panels without an immersive scene. Build path: Standard Android, including React Native; use hz-quest-verify-first if the path is unclear, and do not use this skill for immersive Spatial SDK scenes.
Use when designing or building native macOS applications with SwiftUI or AppKit. Triggers on menu bar structure, keyboard shortcuts, multi-window behavior, Liquid Glass design system, macOS Tahoe/Sequoia, sidebar navigation, toolbar design, app icons, SF Symbols, or making an app feel like a "good Mac citizen."
Use when defining, reviewing, or operating SLOs/SLIs/error budgets. Triggers on "define an SLO", "what should our SLO be", "error budget", "burn rate", "SLI", "service level objective", "Google SRE workbook", "multi-window burn-rate alert", or any reliability-target question. Ships SLO designer, error-budget calculator with multi-window burn-rate thresholds, and SLO reviewer that catches the common bugs (target too aggressive, window too short, conflicting SLOs, no SLI definition). 4 references on SLO principles + SLI design + error budget math + composition with feature-flags-architect/chaos-engineering/kubernetes-operator. NOT a generic observability skill — specifically the SLO discipline.
Build, scaffold, refactor, debug, review, and visually validate production Rust desktop interfaces with GPUI. Use for setting up a production-ready GPUI starter app; new GPUI apps or components; Entity, Context, action, async, and lifecycle architecture; Apple-style macOS UI, Liquid Glass or translucent materials, motion, gestures, focus, keyboard, accessibility, text input, IME, clipboard, drag and drop, menus, multi-window behavior, and restoration; packaging, CI, performance, and testing work; or translating selected Paper.design frames into maintainable GPUI code with screenshot comparison. Covers published GPUI and pinned Zed revisions, macOS/Linux/Windows boundaries, narrow AppKit interop, and stability audits.
Configures alerting policies in Terraform for Google Kubernetes Engine (GKE) clusters, workloads, and services using PromQL and Google Cloud Managed Service for Prometheus. Use when writing, analyzing, validating, or deploying Terraform alerting policies to monitor GKE service latency, traffic, error rates using Multi-Window Multi-Burn-Rate SLO alerts, memory saturation, and cluster health such as CrashLoopBackOff and Node NotReady conditions. Don't use for non-GKE compute runtimes such as standalone Compute Engine VMs or standalone Cloud Run services without GKE.
Advanced Tauri event patterns for bidirectional communication, streaming data, window-to-window messaging, and custom event handling