735 件 ・ 関連度順
概要と使いどころ
Expert blueprint for GPU particle systems (explosions, magic effects, weather, trails) using GPUParticles2D/3D, ParticleProcessMaterial, gradients, sub-emitters, and custom shaders. Use when creating VFX, environmental effects, or visual feedback. Keywords GPUParticles2D, ParticleProcessMaterial, emission_shape, color_ramp, sub_emitter, one_shot.
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 AI pathfinding (tower defense, RTS, stealth) using NavigationAgent2D/3D, NavigationServer, avoidance, and dynamic navigation mesh generation. Use when implementing enemy AI, NPC movement, or obstacle avoidance. Keywords NavigationAgent2D, NavigationRegion2D, pathfinding, NavigationServer, avoidance, baking, NavigationObstacle.
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-level toolkit for modular Godot 4.7+ CLI automation and headless build orchestration. Use when you need to: (1) Build complex scene trees or UI layouts programmatically, (2) Automate expert 3D asset pipelines (glTF -> Collision), (3) Optimize procedural geometry headlessly (CSG -> Static Mesh), or (4) Engineer production-grade CI/CD pipelines. Set GODOT_PATH env var for custom engine location. Keywords: Godot CLI, headless, CI, export, builder, 4.7.
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 racing games including vehicle physics (VehicleBody3D, suspension, friction), checkpoint systems (prevent shortcuts), rubber-banding AI (keep races competitive), drifting mechanics (reduce friction, boost on exit), camera feel (FOV increase with speed, motion blur), and UI (speedometer, lap timer, minimap). Use for arcade racers, kart racing, or realistic sims. Trigger keywords: racing_game, vehicle_physics, checkpoint_system, rubber_banding, drifting_mechanics, camera_feel.
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 TPS/hybrid shooters: soft-lock aim assist, cover validation rays, SpringArm TPS camera, and genre routing to FPS sibling for viewmodel/hitscan feel. Use for third-person/cover shooters and hybrids. Keywords: TPS, soft_lock, cover, SpringArm3D, hybrid shooter, aim assist — not FPS-only movement.
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 project templates. Keywords: Bevy, template, cargo, features, 2d, 3d, ui.
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 cameras. Keywords: Bevy, Camera, Camera2d, Camera3d, Transform.
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 PBR materials. Keywords: Bevy, StandardMaterial, PBR, material, ExtendedMaterial.
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 building VR/AR/XR applications — OpenXR setup, XROrigin3D, hand tracking, controllers, passthrough, and Meta Quest deployment in Godot 4.3+
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 AI movement — NavigationAgent2D/3D, steering behaviors, behavior trees, and patrol patterns
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 importing and managing assets — image compression, 3D scene import, audio formats, resource formats, and import configuration
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 cameras — smooth follow, screen shake, camera zones, and transitions for 2D and 3D
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 using the Phantom Camera addon — PhantomCamera2D/3D with priority-based switching, follow and look-at modes, and tween transitions
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 particle effects — GPUParticles2D/3D, ParticleProcessMaterial, emission shapes, subemitters, trails, attractors, collision, and common VFX 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。
SwiftUI framework skills — data flow (identity, Observation, state ownership), layout & containers (Layout protocol, lazy-stack performance), AlarmKit, 3D charts, rich text editing, customizable toolbars, and WebKit embedding. Use for SwiftUI state/rendering bugs, custom layouts, scroll performance, or these feature areas.
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。
Provides R wrappers of several on-target and off-target scoring methods for CRISPR guide RNAs (gRNAs). The following nucleases are supported: SpCas9, AsCas12a, enAsCas12a, and RfxCas13d (CasRx). The available on-target cutting efficiency scoring methods are RuleSet1, Azimuth, DeepHF, DeepCpf1, enPAM+GB, and CRISPRscan. Both the CFD and MIT scoring methods are available for off-target specificity prediction. The package also provides a Lindel-derived score to predict the probability of a gRNA to
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。
Systematic 3D interaction calls and differential analysis for Hi-C and HiChIP. The HiC-DC+ (Hi-C/HiChIP direct caller plus) package enables principled statistical analysis of Hi-C and HiChIP data sets – including calling significant interactions within a single experiment and performing differential analysis between conditions given replicate experiments – to facilitate global integrative studies. HiC-DC+ estimates significant interactions in a Hi-C or HiChIP experiment directly from the raw con
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。
Provides guidance for writing and benchmarking optimized Triton kernels for AMD GPUs (MI355X, R9700) on ROCm, targeting HuggingFace diffusers (LTX-Video, SD3, FLUX) and transformers. Core kernels: RMSNorm, RoPE 3D, GEGLU, AdaLN. Includes XCD swizzle, autotune, diffusers integration patterns, and LTX-Video pipeline injection.
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 a user gives or references a webpage URL and wants to extract, reproduce, port, or locally replay a WebGL, WebGPU, Canvas, shader-like, animated background, interactive 3D, or web visual effect. Locks the target rendering surface group, records shader/resource/render graph/timing/input evidence, builds an evidence-matched local baseline, then projectizes it. Do not use for ordinary DOM/CSS page cloning.
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。
Three.js 性能优化指南。当 Three.js/React Three Fiber 项目出现掉帧、内存增长、加载缓慢、绘制调用过多，或需要迁移 WebGPU、实现大规模粒子/实例化渲染、配置资源压缩管线时使用。触发关键词："Three.js 优化"、"WebGPU"、"draw calls"、"内存泄漏"、"TSL"、"InstancedMesh"、"R3F 优化"等。不用于：通用 React 性能问题（用 vercel-react-best-practices）、WebGL/Three.js 入门教学、3D 美术资产的制作本身。
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。
使用Python的Matplotlib和Numpy库，根据用户指定的参数方程绘制莫比乌斯环的三维图形。
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 an immersive scroll-scrubbed "fly through the world" landing page for any industry or brand using Higgsfield. As the visitor scrolls, a pre-rendered camera flies from outside each scene into its interior, then flows on to the next scene with NO cuts — one continuous connected flight (Emons-style isometric diorama world, or any art direction you pick). The skill interviews the user for the topic, the story beats/sections, and brand kit, then generates cohesive scenes + seamless camera clips with Higgsfield and wires a portable, framework-agnostic scroll-scrub engine. The video chain renders through Monid by default (Seedance 2.0, pay-per-clip USD — capability re-checked each build, see Step 4) with Higgsfield credits as the fallback biller. Use when the user wants a "3D world" / "browse-through-the-industry" hero, a scroll cinematic, a diorama landing, or to turn a business into a scrollable world.
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。
Image prompting skill for Nano Banana (NBP/NB2) and GPT Image 2.5 (Flare/Sunburst). Writes ready-to-use prompts with model/quality/size recommendations. Use when: "нарисуй", "сгенерируй картинку", "image prompt", "промпт для картинки", blog covers, slides, posters, product shots, UI mockups, storyboards, character sheets, edit/colorize, style transfer, vision analysis, image-to-prompt, nb, NBP, NB2, gpt-image-2.5, multi-panel grids, ecommerce product photography, fashion editorial, food/beverage ads, cinematic portraits. Do NOT use for: video (use video skill), 3D models, audio, non-image tasks.
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。