「sic」の検索結果

Apply a Classic Easter seasonal overlay: pastel Theme/StyleBox injection, confetti/shimmer VFX, elastic juice, mesh surface_override painting, cursor/audio swaps, and a date-window activation gate with player opt-out. Use when shipping holiday skins, April events, or egg-hunt juice without mutating shared .mesh/.tres assets. Keywords: pastel, seasonal Theme, StyleBox, confetti, Easter egg, surface_override, TRANS_ELASTIC, Disable Seasonal Themes, activation gate.

日本語の概要は準備中です。原文の説明を表示しています。

Expert blueprint for VR platforms (Meta Quest, PSVR, SteamVR, Pico) covering XR toolkit (OpenXR), comfort settings (vignetting, snap turning, teleport), motion controls, hand tracking, and 90+ FPS requirements. Use when targeting VR headsets or implementing immersive 3D experiences. Keywords VR, XR, OpenXR, Meta Quest, motion sickness, comfort, locomotion, XRController3D, foveated rendering.

日本語の概要は準備中です。原文の説明を表示しています。

Expert blueprint for hierarchical finite state machines (HSM) and pushdown automata for complex AI/character behaviors. Covers state stacks, sub-states, transition validation, and state context passing. Use when basic FSMs are insufficient OR implementing layered AI. Keywords state machine, HSM, hierarchical, pushdown automata, state stack, FSM, AI behavior.

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Expert testing decision trees for GdUnit4: unit vs scene vs CI gates, headless runners, snapshots, and mock networks. Use when choosing test layers, wiring CI, or validating signals/physics without beginner assert catalogs. Keywords: GdUnit4, GdUnitTestSuite, headless CI, snapshot test, mock network, scene integration test, TDD.

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Consolidated expert library for professional Godot 4.7+ game and application development. Orchestrates 92 Domain Skills through architectural workflows, anti-pattern catalogs, performance budgets, and Server API patterns. Use when: (1) starting a new Godot project, (2) designing game or app architecture, (3) building entity/component systems, (4) debugging performance or physics issues, (5) choosing between 2D/3D approaches, (6) implementing multiplayer, (7) optimizing draw calls or script time, (8) porting between platforms, (9) migrating from 4.6 to 4.7. Primary entry point for ALL Godot development tasks. Keywords: Godot 4.7, AreaLight3D, HDR, Asset Store, godot-master.

日本語の概要は準備中です。原文の説明を表示しています。

Expert blueprint for First-Person Shooters: fps_camera_look, fps_movement_logic, hitscan_weapon_query, weapon_bobbing_system, procedural recoil, and FPS NEVER rules. Shared TPS/cover theory links to godot-genre-shooter. Keywords: FPS, movement physics, weapon bobbing, camera sway, hitscan, viewmodel, air control.

日本語の概要は準備中です。原文の説明を表示しています。

Expert blueprint for puzzle games including undo systems (Command pattern for state reversal), grid-based logic (Sokoban-style mechanics), non-verbal tutorials (teach through level design), win condition checking, state management, and visual feedback (instant confirmation of valid moves). Use for logic puzzles, physics puzzles, or match-3 games. Trigger keywords: puzzle_game, undo_system, command_pattern, grid_logic, non_verbal_tutorial, state_management.

日本語の概要は準備中です。原文の説明を表示しています。

Expert blueprint for sandbox games (Minecraft, Terraria, Garry's Mod) with physics-based interactions, cellular automata, emergent gameplay, and creative tools. Use when building open-world creation games with voxels, element systems, player-created structures, or procedural worlds. Keywords voxel, sandbox, cellular automata, MultiMesh, chunk management, emergent behavior, creative mode.

日本語の概要は準備中です。原文の説明を表示しています。

Bevy ECS skill for spatial queries. Keywords: Bevy, raycast, shapecast, picking, physics query.

日本語の概要は準備中です。原文の説明を表示しています。

Expert patterns for migrating 2D games to 3D including node type conversions, camera systems (third-person, first-person, orbit), physics layer migration, sprite-to-model art pipeline, and control scheme adaptations. Use when porting 2D projects to 3D or adding 3D elements. Trigger keywords: CharacterBody2D to CharacterBody3D, Area2D to Area3D, Camera2D to Camera3D, Vector2 to Vector3, collision_layer migration, sprite to MeshInstance3D, 2D to 3D conversion.

日本語の概要は準備中です。原文の説明を表示しています。

Expert patterns for simplifying 3D games to 2D including dimension reduction strategies, 2.5D fake-depth, isometric ports, camera flattening, physics conversion, 3D-to-sprite art pipeline, and control simplification. Use when porting 3D to 2D, building 2.5D / isometric / fake-depth gameplay, creating 2D versions for mobile, or prototyping. Trigger keywords: CharacterBody3D to CharacterBody2D, Camera3D to Camera2D, Vector3 to Vector2, flatten Z-axis, 2.5D, isometric, fake depth, Y-sort, simulated Z, orthogonal projection, 3D to sprite conversion, performance optimization.

日本語の概要は準備中です。原文の説明を表示しています。

用于磁盘镜像、内存转储、事件日志、PCAP、隐写分析、Windows 注册表、音频信号、Docker 镜像、coredump 以及已删除文件与凭据恢复等取证类 CTF 题;触发名:ctf-forensics

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing shaders — Godot shader language, visual shaders, common visual recipes, and post-processing effects

日本語の概要は準備中です。原文の説明を表示しています。

Use when optimizing Godot games — profiler, draw calls, physics tuning, memory management, and common bottlenecks

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing player movement — CharacterBody2D/3D patterns, input handling, physics, common movement recipes

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing audio — audio buses, AudioStreamPlayer, spatial audio, music management, SFX pooling, and dynamic mixing

日本語の概要は準備中です。原文の説明を表示しています。

Use when implementing multiplayer — MultiplayerAPI, ENet/WebSocket peers, RPCs, and authority model

日本語の概要は準備中です。原文の説明を表示しています。

Upscale and restore video in ComfyUI. Both the quick local path (per-frame ESRGAN like 4x_foolhardy_Remacri via ImageUpscaleWithModel + 4x→2x supersample, with its temporal-flicker tradeoff) and temporal-aware super-resolution (SeedVR2, the newer FlashVSR) with the downscale-first restore pipeline; RIFE/FILM frame interpolation via the BUILT-IN ComfyUI 0.26 FrameInterpolate (rife_v4.26 in models/frame_interpolation/) or the ComfyUI-Frame-Interpolation pack; 2x/4x scaling, VRAM tiers, VHS encode. Captures the classic downscale→SeedVR2→RIFE recipe and the current 2026 recommendation.

日本語の概要は準備中です。原文の説明を表示しています。

Visual specialist for full audits. Captures screenshots, evaluates above-the-fold signals, and checks mobile rendering basics.

日本語の概要は準備中です。原文の説明を表示しています。

Summarize small CSV files and identify the highest revenue month.

日本語の概要は準備中です。原文の説明を表示しています。

Build, install, and launch an iOS app on a physical iPhone or iPad entirely from the command line (no Xcode GUI), using xcodebuild + devicectl. Use when the user wants to run, test, or screenshot their app on a real device without opening Xcode.

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Generates value-moment-first onboarding flows for iOS/macOS apps — the default architecture races a new user to the first felt experience of the app's promised outcome, branching on whether they can experience it right now or need to plan for later. The classic paged welcome-carousel tour is an explicit fallback for genuinely explain-first apps. Use when user wants to add onboarding, welcome screens, first-launch experience, or improve activation/trial conversion.

日本語の概要は準備中です。原文の説明を表示しています。

The package comprises a set of pretrained machine learning models to predict basic immune cell types. This enables all users to quickly get a first annotation of the cell types present in their dataset without requiring prior knowledge. scAnnotatR also allows users to train their own models to predict new cell types based on specific research needs.

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SpatialFeatureExperiment (SFE) is a new S4 class for working with spatial single-cell genomics data. The voyager package implements basic exploratory spatial data analysis (ESDA) methods for SFE. Univariate methods include univariate global spatial ESDA methods such as Moran's I, permutation testing for Moran's I, and correlograms. Bivariate methods include Lee's L and cross variogram. Multivariate methods include MULTISPATI PCA and multivariate local Geary's C recently developed by Anselin. The

日本語の概要は準備中です。原文の説明を表示しています。