UI/UX、ロゴ、スライド、画像生成（7,360 件）
概要と使いどころ
UX and visual design consultant for iOS apps using Apple's Liquid Glass design system (iOS 26+). Use when asking about element positioning, layout decisions, visual hierarchy, or whether a design choice is "Apple-approved." Provides design rationale and guidance—not code. Helps create Apple Design Award-worthy apps.
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。
Fact lookup: Apple Human Interface Guidelines corpus (greppable markdown). Query on demand for accessibility and ergonomic minimums (hit-target sizes, Dynamic Type), platform terminology, system component capabilities, and App-Review-relevant conventions. Not design direction.
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。
Production-grade SwiftUI with Apple Design Award-quality aesthetics. Use when building visually striking iOS interfaces — screens, components, redesigns. Screenshot-driven visual iteration, Liquid Glass (iOS 26+), bold design direction. For design advice without code, use ios-design-consultant instead.
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。
API reference: Liquid Glass (iOS 26+). Query for glass effects, navigation patterns, GlassEffect modifiers, design principles.
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。
Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.
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 comparing an exposure-outcome association across countries with parallel national surveys (KNHANES, NHANES, CHNS). Harmonizes variables, runs parallel weighted analyses and builds comparison tables for 2-country (KR+US) or 3-country (KR+US+CN) designs.
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 designing a study that benchmarks AI systems against a human-expert panel, before data collection. Plans the arms, decoupled rubrics with anchors, planted calibration probes, reviewer panel, inter-rater reliability targets and LLM-as-judge versus human adjudication.
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 checking a radiology or medical AI study design before drafting or submission. Reviews the analysis unit, cohort logic, leakage risks, comparator, validation strategy and reporting-guideline fit. AI-vs-expert benchmarks are /design-ai-benchmarking.
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。
Assesses architecture decisions, ADR compliance, and coupling. Use when evaluating design changes or validating structural decisions before merging.
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 weighted scoring, rubrics, and decision-threshold patterns. Use when designing quality gates, evaluation systems, or decision frameworks.
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。
Designs memory palace structures with spatial layouts and domain organization. Use when creating a new palace or planning knowledge architecture by hand.
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。
Applies event-driven async messaging to decouple producers and consumers. Use when designing real-time or multi-subscriber systems needing loose coupling.
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。
Applies layered n-tier architecture with enforced boundaries. Use when designing moderate systems needing clear presentation, domain, and persistence layers.
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。
Applies client-server architecture for web/mobile apps. Use when designing systems with centralized backend services, trust boundaries, or offline-first sync.
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 DeepSpeed for distributed training, inference acceleration, ZeRO configuration, parallelism/MoE design, profiling, autotuning, and operational diagnostics.
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 ComfyUI as a modular AI content-creation engine: launch and automate the server, submit API workflows, validate graph JSON, author custom nodes, and configure model paths/backends.
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 CUDA-enabled BindCraft protein-binder design from target PDB preparation through AF2/MPNN/PyRosetta execution, filtering, output analysis, and conservative troubleshooting.
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。
Routes AutoTrain Advanced installation, CLI, config, training, UI/API, backend, and utility workflows.
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。
Same pixels, fewer tokens: dense CSS for user-facing 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。
Same pixels, fewer tokens — for user-facing deliverables where visual polish is the spec. Use when building or editing a landing page, marketing site, hero, pricing/feature section, dashboard, or any HTML/CSS UI component. Keeps the full rendered design (layout depth, hierarchy, motion, responsive richness, a11y) and cuts tokens by expressing that design densely — CSS custom properties, shared classes, shorthand, fluid units — instead of by cutting the design. The honey core trims code and prose; this trims how the design is *written*, never how it looks. Reach for it whenever output is user-facing markup, even if the user never says "minimal".
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。
Same pixels, fewer tokens. For user-facing markup: keeps the full design, expresses it densely with CSS vars, shorthand, fluid units.
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。
Design, generate, review, and revise editable PowerPoint presentations through a rigorous brief-to-PNG workflow using the public pptx-designer Python library.
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 you want to build a project but don't have a spec yet and need to brainstorm the idea into a design doc structured for pipeline DOT generation. Use when starting from a vague idea, project concept, or feature request that needs to become a headless autonomous build pipeline.
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。
Native macOS/iOS app performance profiling via xctrace/Time Profiler and CLI-only analysis of Instruments traces. Use when asked to profile, attach, record, or analyze Instruments .trace files, find hotspots, or optimize native app performance without opening Instruments 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。