「spatial」の検索結果

Reality tech (AR/VR/XR). Build and ship spatial experiences (WebXR/OpenXR/Unity/Unreal) with strong defaults for interaction, performance, comfort, privacy, and deployment.

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。

Nature-style remote-sensing manuscript reviewer skill for evaluating Earth-observation products, retrievals, machine-learning maps, validation design, uncertainty propagation, spatial transferability and claim-scope calibration.

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。

Analyze magnetic levitation systems by applying Earnshaw's theorem to determine whether passive static levitation is possible, then identifying the appropriate circumvention mechanism (diamagnetic, superconducting, active feedback, or spin-stabilized). Use when evaluating maglev transport, magnetic bearings, superconducting levitation, diamagnetic suspension, or Levitron-type devices. Covers force balance calculations, stability analysis in all spatial and tilting modes, and Meissner effect versus flux pinning distinctions.

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。

Create polished, code-driven Remotion motion explainers from scripts, narration, subtitles, product specifications, reference videos, UI recordings, diagrams, or abstract concepts. Use for product launches, AI demonstrations, UI interactions, algorithms, scientific principles, electrical systems, data flows, architecture, charts, equations, and concepts best expressed with React, SVG, Canvas, WebGL, or Three.js. Prioritize continuous spatial logic, visible cause and effect, precise interaction states, editable parameters, deterministic rendering, and evidence-backed visual QA.

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 SurrealDB 3 skill. Use when working with SurrealDB, SurrealQL queries, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, graph traversal, vector search, security and permissions, deployment and operations, performance tuning, SDK integration, Surrealism WASM extensions, SurrealMCP, Surrealist IDE, Surreal-Sync migrations, SurrealFS, SurrealKit, or ecosystem integrations such as n8n and CodeMirror.

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 SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML scope coverage (preview), built-in MCP (v3.1+) and standalone SurrealMCP, LangChain Python integration, editor tooling (LSP v0.1.6, tree-sitter, CodeMirror v1.0.6, VS Code/JetBrains/Neovim/Zed), and ecosystem integrations (Surrealist v3.9, Surreal-Sync, SurrealFS, SurrealKit v0.7, n8n, Agent Skills, setup-surreal). Universal skill for 30+ AI agents.

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。

Redistricting analysis in R using the redistverse ecosystem. Use whenever the user is working with redist, redistmetrics, ggredist, geomander, adj, alarmdata, PL94171, censable, easycensus, tinytiger, baf, rict, or redistio. Covers the complete pipeline: Census and spatial data loading, adjacency graph construction, SMC/MCMC simulation, constraints (population balance, county splits, VRA compliance), convergence diagnostics, plan metrics (compactness, partisan fairness, splits), visualization, summary tables, and interactive plan drawing. Invoke whenever the user mentions redistricting, gerrymandering, district plans, simulation ensembles, or any redistverse package by name.

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。

Fix generic Svelte component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Fix generic React component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Fix generic HTML/CSS designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Fix generic Vue component designs by applying aesthetic upgrades across the 5 design dimensions (typography, color, motion, spatial composition, backgrounds)

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。

Guide for creating distinctive, production-grade frontend interfaces. Covers visual design systems, typography, color, motion, spatial composition, and web interface standards. Use when designing UI, establishing design systems, or reviewing visual quality of frontend code.

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。

Generate custom editor tooling including Custom Inspectors, PropertyDrawers, EditorWindows, Gizmos, and Handles. Use when building designer-facing tools, spatial visualization, batch operations, or custom component UIs. Triggers on requests like "create a custom inspector", "add gizmos", "build an editor window", "make this component designer-friendly", "add a debug visualization", "create a level editor tool", "add a property drawer", "make a batch rename tool", or any editor tooling work. Always uses SerializedProperty and Undo for safety.

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。

Wwise audio middleware integration for Unity including events, banks, RTPC, spatial audio, and callback handling.

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。

Unity 6 audio system guide. Use when working with sound effects, music, AudioSource, AudioClip, AudioListener, Audio Mixer, spatial audio, or audio optimization. Covers 3D sound, mixer groups, snapshots, and audio import settings. Based on Unity 6.3 LTS documentation.

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 task needs the judgment of a licensed Architect — programming a building's spatial/functional requirements against a budget, developing a design concept against a zoning/code envelope, evaluating a fee proposal or scope-creep request, resolving a code-compliance conflict between disciplines, or working through a construction-phase change order's cost and schedule impact.

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。

Research-grounded workflow for designing, reviewing, and improving video game user interfaces, including HUDs, menus, navigation, focus states, onboarding/tutorials, objective tracking, input prompts, readability, accessibility, and destructive-action flows. Use when asked how to make good game UI, critique a game UI or HUD, propose UI/UX guidelines, design menu or gameplay interfaces, compare HUD vs diegetic/spatial presentation, create a UI design brief, or run a usability/accessibility review for PC, console, mobile, or VR games.

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。

Analyze game code for performance bottlenecks including draw call batching and overdraw, shader complexity and LOD strategy, per-frame GC allocation pressure, object pooling gaps, physics timestep and collision matrix tuning, spatial partitioning for entity queries.

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。

Create, inspect, and update Obsidian JSON Canvas boards with text, file, link, group, and edge nodes. Use for canvas status, canvas lists, visual maps, zones, spatial layouts, adding vault notes or media to a .canvas file, and requests such as create canvas, add to canvas, or put this on the canvas.

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。

Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.

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。

Analyzes species-environment relationships with constrained ordination (CCA, RDA, db-RDA), variance partitioning, indicator species (indicspecies IndVal.g group-equalized), PERMANOVA paired MANDATORILY with PERMDISP (Anderson & Walsh 2013; dispersion confounds centroid tests), Joint Species Distribution Models (HMSC, sjSDM, gjam) with explicit rejection of "residual covariance equals biotic interaction", phylogenetic community ecology (SES_MPD/MNTD), trait-environment via RLQ + fourth-corner with corrected modeltype=6 (Dray 2014), bipartite network metrics (NODF, modularity) with curveball null (Strona 2014), and Mantel-test replacements (dbRDA, GDM) for spatial data. Use when testing how environmental gradients structure communities, identifying habitat indicator taxa, partitioning variance among predictors, deciding whether PERMANOVA significance is location vs dispersion, picking among HMSC/sjSDM/gjam, or replacing Mantel tests for landscape data.

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。

Core UI/UX engineering skill for building highly interactive, spatial, weightless, and glassmorphism-based web interfaces using GSAP and 3D CSS.

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。

Semantic image-text matching with CLIP and alternatives. Use for image search, zero-shot classification, similarity matching. NOT for counting objects, fine-grained classification (celebrities, car models), spatial reasoning, or compositional queries. Activate on "CLIP", "embeddings", "image similarity", "semantic search", "zero-shot classification", "image-text matching".

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。

Web and App implementation guide for 3D UI. Trigger when user wants actual 3D objects, perspective effects, and spatial depth.

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。