248건 · 관련도순
Builds cross-platform applications with Flutter 3+ and Dart including widget development, Riverpod/Bloc state management, GoRouter navigation, and platform-specific implementations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Builds cross-platform mobile applications with React Native and Expo including navigation, native modules, FlatList optimization, and platform-specific code.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert patterns for scaling mobile games to desktop including mouse/keyboard controls, increased resolution and graphical fidelity, expanded UI layouts, settings menus, window management, and platform-specific features. Use when creating desktop ports or cross-platform releases. Trigger keywords: mouse_controls, keyboard_shortcuts, resolution_scaling, graphics_settings, fullscreen_toggle, window_modes, Steam_integration, desktop_optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert patterns for porting desktop games to mobile including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs, battery life management, and platform-specific features. Use when creating mobile ports or cross-platform mobile builds. Trigger keywords: TouchScreenButton, virtual_joystick, gesture_detector, InputEventScreenTouch, InputEventScreenDrag, mobile_optimization, battery_saving, adaptive_performance, MOBILE_ENABLED.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Agentic eyes for Godot work: cross-platform screenshot CLI (asset/region/window/screen) to budgeted WebP, TEMP editor viewport bridge under .gdskills/, and Taste Receptor Atlas v2 (~237 micro-receptors × 0–2: hierarchy, contrast, typography×41, affordance, space, color, icon, composition, light/FX, motion-tells, anti-slop, originality, identity). Use when agents must see UI, assets, or the editor — not for in-game screenshot Autoloads. Keywords: agent vision, screenshot, WebP, visual QA, taste receptors, typography, UI review, asset sheet, editor viewport, anti-slop.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Agentic eyes for Godot work: cross-platform screenshot CLI (asset/region/window/screen) to budgeted WebP, TEMP editor viewport bridge under .gdskills/, and Taste Receptor Atlas v2 (~237 micro-receptors × 0–2: hierarchy, contrast, typography×41, affordance, space, color, icon, composition, light/FX, motion-tells, anti-slop, originality, identity). Use when agents must see UI, assets, or the editor — not for in-game screenshot Autoloads. Keywords: agent vision, screenshot, WebP, visual QA, taste receptors, typography, UI review, asset sheet, editor viewport, anti-slop.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert patterns for porting desktop games to mobile including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs, battery life management, and platform-specific features. Use when creating mobile ports or cross-platform mobile builds. Trigger keywords: TouchScreenButton, virtual_joystick, gesture_detector, InputEventScreenTouch, InputEventScreenDrag, mobile_optimization, battery_saving, adaptive_performance, MOBILE_ENABLED.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert patterns for scaling mobile games to desktop including mouse/keyboard controls, increased resolution and graphical fidelity, expanded UI layouts, settings menus, window management, and platform-specific features. Use when creating desktop ports or cross-platform releases. Trigger keywords: mouse_controls, keyboard_shortcuts, resolution_scaling, graphics_settings, fullscreen_toggle, window_modes, Steam_integration, desktop_optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Maps intelligence for local SEO — geo-grid rank tracking, GBP profile auditing via API, review intelligence across Google/Tripadvisor/Trustpilot, cross-platform NAP verification (Google/Bing/Apple/OSM), competitor radius mapping, and LocalBusiness schema generation from API data. Three-tier capability: free (Overpass + Geoapify), DataForSEO (full intelligence), DataForSEO + Google (maximum coverage). Use when user says "maps", "geo-grid", "rank tracking", "GBP audit", "review velocity", "competitor radius", "maps analysis", "local rank tracking", "Share of Local Voice", or "SoLV".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Cross-platform social research - narrative-first intelligence on what people are saying about a topic across Reddit, X, HN, Polymarket, and the web over the last 30 days
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Route viral topic discovery across platform-specific account-growth skills. Use when the user asks for 起号选题, low-follower viral references, recent viral content, cross-platform topic mining, or does not specify whether to search WeChat, X, Bilibili, or YouTube.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when writing E2E/integration tests, testing native interactions like permissions or system dialogs, capturing UI regressions, or validating cross-platform behavior (Patrol 4.x).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Daily cross-platform rankings of AI agent skills (skills.sh, ClawHub, Tencent SkillHub, GitHub, X/HN/Bluesky). Use when the user asks which agent skill to install, what is trending, whether a skill is popular or trusted, or wants to compare skills. Read-only public CSV data; it recommends and links, it does not install anything.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Desktop application UI patterns for product owners. Load when designing native or cross-platform desktop applications, writing desktop-specific acceptance criteria, or evaluating panel layouts and keyboard workflows.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Resolve iOS and Android differences using Platform API and native modules in React Native. Use when platform branching or native-module integration is the primary task; defer cross-platform feature implementation such as push notifications.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Mobile-specific UX principles - touch targets, hover-less doctrine, thumb zones, safe areas, gestures, mobile perf budgets. Cross-platform (web mobile, iOS, Android).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use `pvanalyze` to inspect existing .NET `.nettrace` files from the command line, including GC, JIT, CPU stacks, allocation, DATAS, events, exceptions, timeline, and call-tree analysis with JSON or SpeedScope. USE FOR: the user mentions pvanalyze, PerfView-style CLI trace analysis, or cross-platform .nettrace inspection; the task starts from an existing .nettrace file and needs. DO NOT USE FOR: unrelated stacks; generic tasks that do not need this specific guidance. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
DO NOT INVOKE when the primary request explicitly asks to convert, migrate, modernize, or rewrite a legacy/old-style project to SDK style; use msbuild-modernization. Migration prompts often mention ToolsVersion, explicit Compile/Reference entries, packages.config, or Microsoft.CSharp.targets, but merely reviewing or auditing a file that contains those patterns remains in scope here. USE FOR broad review, audit, lint, or maintainability/correctness checks of project/build files, including custom targets; prioritized cross-cutting findings; discrete anti-patterns; F# ordering/FS0039; cross-platform paths; and focused Import safety verdicts. Review/audit is analysis-only unless fixes are requested. For concrete property/item defects use property-patterns/item-management; use target-authoring for implementation and extension-points for NuGet auto-import/layout discovery. Exclude non-MSBuild systems.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Correctly call native (C/C++) libraries from .NET using P/Invoke and LibraryImport. Covers function signatures, string marshalling, memory lifetime, SafeHandle, and cross-platform patterns. USE FOR: writing new P/Invoke or LibraryImport declarations, reviewing or debugging existing native interop code, wrapping a C or C++ library for use in .NET, diagnosing crashes, memory leaks, or corruption at the managed/native boundary. DO NOT USE FOR: COM interop, C++/CLI mixed-mode assemblies, or pure managed code with no native dependencies.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
.NET MAUI app lifecycle guidance — the four app states, cross-platform Window lifecycle events (Created, Activated, Deactivated, Stopped, Resumed, Destroying), platform-specific lifecycle mapping, backgrounding and resume behavior, and state-preservation patterns. USE FOR: "app lifecycle", "window lifecycle events", "save state on background", "resume app", "OnStopped", "OnResumed", "backgrounding", "deactivated event", "ConfigureLifecycleEvents", "platform lifecycle hooks". DO NOT USE FOR: navigation events (use maui-shell-navigation), dependency injection setup (use maui-dependency-injection), platform API invocation (use conditional compilation and partial classes).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Run TestDriver tests in CI/CD with parallel execution and cross-platform support
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Build beautiful cross-platform mobile apps with Flutter and Dart. Covers widgets, state management with Provider/BLoC, navigation, API integration, and material design.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when writing position-independent shellcode or a loader — PEB walking, API hashing, null-byte avoidance, encoders, loaders, PE-to-shellcode conversion, cross-platform shellcode
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Operational knowledge for the daily-brief digest pipeline (this project). RSS/API fetchers, pluggable LLM enrichment (default claude CLI on Max; also anthropic/openai/deepseek/minimax API), trading section, HTML rendering, cross-platform scheduler integration (Windows Task Scheduler / macOS launchd / Linux cron). Load when the user asks about running daily / regenerating sections / debugging a failed run / adding or disabling sources / LLM quota / scheduler / why a tab shows wrong data / why a source failed / switching LLM backend. Always prefer the documented npm commands over re-implementing logic. Diagnose by reading logs/daily-*.log first, then logs/llm-calls.jsonl for LLM-side issues.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.