「elements」の検索結果

Soft, rounded 3D-like shapes mimicking malleable clay with playful, puffy elements and colorful surfaces.

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。

Spatial depth design with isometric views, vanishing points, and layered elements that guide attention through 3D-like realism.

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。

Game-inspired fantasy aesthetic with bold, premium visuals, rich color palettes, and immersive thematic elements.

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。

A cyber-slick, dark-only Matrix-inspired interface defined by minimalist fashion, high-tech digital elements

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。

Soft, extruded UI elements with inner and outer shadows on monochromatic surfaces for a tactile, embedded look.

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。

Monospace-driven, matrix-inspired design with high-contrast elements, compact density, and a hacker-chic aesthetic.

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。

Raw, anti-design aesthetic inspired by concrete architecture with unadorned elements, jarring layouts, and functional minimalism.

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。

Futuristic sci-fi aesthetic with dark themes, vibrant neon accents, and immersive spatial elements.

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。

Approachable, intuitive design with rounded elements, ample whitespace, and soft pastel color palettes.

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。

An immersive, interactive, exhibit-style interface that blends storytelling, animation, and gamified elements to create a playful, experience-driven journey. The entire app sits on a single continuous brand-colored canvas (deep green)

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。

Identifies super-enhancers from H3K27ac ChIP-seq data using ROSE and related tools. Use when studying cell identity genes, cancer-associated regulatory elements, or master transcription factor binding regions that cluster into large enhancer domains.

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。

Apply the Law of Similarity — shared colour, shape, or size signals that elements belong to one category. Use when signalling relationships across distance. For grouping by position, use `law-of-proximity`.

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。

Apply the Law of Proximity — spatial closeness groups elements more strongly than any other cue. Use when spacing alone must carry grouping. For grouping via containers use `law-of-common-region`; via shared appearance use `law-of-similarity`.

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。

Apply the Law of Common Region — a shared container, background, or border groups elements regardless of spacing. Use when grouping must survive a tight layout. For grouping by spacing alone, use `law-of-proximity`.

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 the Appllama MCP (mcp.appllama.io) well — research real top-grossing mobile apps, their screens, flows, and UI elements, then build from what you learn. Load when the Appllama MCP is connected and the task involves building a mobile app or screen, researching app design patterns, studying onboarding/paywall/feature flows, improving an existing screen, or whenever an appllama_* / search_apps / list_app_screens tool is available. Covers the tool map, pagination, expiring media, and the full build-from-research playbooks.

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 prompts for AI image tools to produce modern ML/RL paper-style figures matching the aesthetic of recent ICLR/NeurIPS/ICML 2024-2025 publications. Key traits — pure white canvas, white panels with soft drop shadow, rounded friendly font (Nunito/Poppins), densely packed but uncluttered floating elements, small pastel token squares, rich inline illustrations, colored keyword text, pill-shaped concept labels. Trigger phrases — "pastel风格论文配图", "现代ML论文配图", "modern ML figure prompt".

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。

Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes AI content detection (burstiness, phrase flagging, vocabulary diversity). Supports export formats (markdown, JSON, table) and batch analysis with sorting. Generates prioritized recommendations (Critical/High/Medium/Low) with specific fixes. Works with any format (MDX, markdown, HTML, URL). Use when user says "analyze blog", "audit blog", "blog score", "check blog quality", "blog review", "rate this blog", "blog health check".

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。

Audit and score blog posts on a 5-category 100-point scoring system covering content quality, SEO optimization, E-E-A-T signals, technical elements, and AI citation readiness. Includes advisory editorial style diagnostics (sentence-length variation, configured phrase lists, vocabulary sampling) that never infer authorship or affect scoring. Supports export formats (markdown, JSON, table) and batch analysis with sorting. Generates prioritized recommendations (Critical/High/Medium/Low) with specific fixes. Works with any format (MDX, markdown, HTML, URL). Use when user says "analyze blog", "audit blog", "blog score", "check blog quality", "blog review", "rate this blog", "blog health check".

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 or edit images from text and local files, image URLs, or data URLs through image API. Use when the user asks to create an image, generate from one or more reference images, combine styles or elements across references, or edit a marked region while blending the result into the original scene.

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。

When the user wants to A/B test App Store product page elements to improve conversion rate. Also use when the user mentions "A/B test", "product page optimization", "test my screenshots", "test my icon", "conversion rate optimization", "CPP", or "custom product pages". For screenshot design, see screenshot-optimization. For metadata optimization, see metadata-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。

Click page elements by CSS selector or text content. When you need to click buttons, links, or select options. PREREQUISITE - must use browser_navigate to open target page first.

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Generates PI(E)COS structure (Population, Intervention, Comparator, Outcomes, Study Design) from Meta-analysis or study titles. Use when the user wants to extract these elements from a title.

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。

Refines broad, vague, or aspirational biomedical research objectives into clear, bounded, measurable, executable, and downstream-ready study objective statements. Always use this skill when a user has a general aim such as “explore a mechanism,” “study prognosis,” “investigate biomarkers,” or “look at treatment response,” but the objective is still too broad, non-operational, or too ambiguous to support protocol framing, design selection, analysis planning, or hypothesis design. Never assume that polished wording alone means the objective is actionable. Focus first on objective type, missing operational elements, scope discipline, and downstream-ready formulation.

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。

Checks biomedical manuscripts against reporting guidelines such as CONSORT, STROBE, PRISMA, and TRIPOD to identify missing or weak reporting elements before submission or revision.

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。