「cards」の検索結果

Turn a KOL roster + subreddit brand-fit analysis into a deployable creator network. Splits creators into KOL (authority) and KOC (grassroots) layers, matches each to a main + secondary subreddits by real gear/shooting-type ∩ community fit, and emits an account×subreddit deployment_matrix (with a ≤3-per-sub ceiling + no-cross-interaction rule) plus per-creator persona_cards. Route A disclosed-compliance baked into every card (FTC disclosure required on any material connection). Consumes reddit-kol-finder's kol_roster.json natively. READ-ONLY, deterministic, no LLM key needed.

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。

Add or refine depth through elevation systems, raised and inset surfaces, layered overlap, and meaningful shadow behavior so interfaces feel structured instead of flat. Use when the user mentions depth, elevation, shadows, layering, flat cards, pressed states, drag feedback, or inset controls.

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。

Extract reusable components, product patterns, and design tokens into a clearer design system with shared APIs, documented defaults, and better reuse. Use when the user wants to refactor repeated UI, consolidate buttons/cards/forms/sections, build a component library, or turn one-off values into reusable tokens.

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 UI component patterns across the component.gallery corpus — 60 canonical component types, ~95 production design systems, 2,600+ examples — plus an AI-era overlay (prompt inputs, tool-call cards, streaming status, citations) and composite patterns (command palette, app shell, agent console). Compare implementations, find alternative component names, ground frontend decisions in real-world precedent. Pairs with minoan-frontend-design for research-then-build workflows. Triggers on component patterns, how do others implement X, design system research, component comparison, AI chat components, agent UI 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。

Scaffold editorial documentation sites with the Vellum design system — OKLCH palette, Bodoni Moda / Source Serif 4 / Inconsolata typography, warm or dark space theme, 35 semantic components (state cards, parity matrices, entity dossiers, stat stacks, utterance blocks, editorial notes, entity flows, fact blocks, sub-navigation, source lists, debugger panels, ring visualizations, phase timelines, glossaries, subject-intro, stat-bar, hero-image with lightbox, gallery/masonry grid, audio player with Web Audio API). Static HTML, zero build step. Use when building competitive intelligence pages, personal archives, internal documentation, roadmaps, or multi-page static sites that need a designed, non-generic 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。

Validate SEO and LLM-readability claims against live HTML, local fixtures, and generated artifacts. Use this skill when the user asks to prove whether title, meta description, canonical, hreflang, JSON-LD, NewsArticle.image, OpenGraph, Twitter cards, RSS autodiscovery, robots.txt, llms.txt, sitemap, news-sitemap, crawler access, or performance evidence is actually present, and when subjective audits must become timestamped pass/fail reports.

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 deterministic technical SEO and schema.org guidance for crawlable public pages. Use this skill when the user asks for title and meta description rules, canonical and hreflang tags, JSON-LD schema, NewsArticle, Article, TechArticle, BreadcrumbList, WebSite, Organization, Person, OpenGraph, Twitter cards, sitemap, news-sitemap, RSS, robots.txt, llms.txt, publisher logo, ImageObject, or metadata templates that must match visible content.

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。

Implement and execute approved research Experiment, Tuning, or Design Cards with reproducible logs, metrics, environment, and artifacts. Use for bounded coding, debugging, and runs; not for changing claims, priorities, budgets, or the Research Spine.

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。

Capture reproducible screenshots from the currently booted iOS Simulator and turn them into three App Store marketing cards with validated dimensions and concise copy. Use after a successful Simulator build, during the two-minute proof lane, or when replacing prototype images with real app captures.

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 an A2A Agent Card (.well-known/agent.json) manifest describing agent capabilities, skills, authentication requirements, and supported content types. Use when building an agent that must be discoverable by other A2A-compliant agents, exposing capabilities for multi-agent orchestration, migrating an existing agent to the A2A protocol, defining the public contract for an agent before implementation, or integrating with agent registries that consume Agent Cards.

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 Shiny application UIs using bslib for theming, layout_columns for responsive grids, value boxes, cards, and custom CSS/SCSS. Covers page layouts, accessibility, and brand consistency. Use when building a new Shiny app UI from scratch, modernizing an existing app from fluidPage to bslib, applying brand theming, making a Shiny app responsive across screen sizes, or improving accessibility of a Shiny application.

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 audio content and save to Spotify. Produces episodes with TTS narration, a rich timeline (chapters plus in-player images, external links, and Spotify entity cards), and a cover image. Also use for raw media saves, show/episode management, and timeline navigation.

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。

知識型 IG 輪播圖卡的獨立審核員（Joker）——預設有罪推定、禁止 LGTM。對一套輪播圖卡＋文案，按「封面/結構/擴散/CTA/品牌」五類硬規則逐條 PASS/FAIL，指到卡給可照做的改法，並算社群擴散體質分。是 Social Post Producer 迴圈裡的「審」（寫審分離）。觸發詞：驗收這套輪播、這組圖卡會不會擴散、red team 這個 carousel、carousel joker、圖卡審核、這套 IG 圖文夠不夠好。立場是找碴不是稱讚。

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。

迷因知識輪播的獨立審核員——用「幽默感」的可二元判定要素（不協調-解消/良性冒犯/切身共鳴/誇張反差/自嘲/三的法則/秒懂）＋迷因 Hook＋版權安全，對一套迷因圖卡逐條 PASS/FAIL、指到卡給改法。預設有罪推定、禁 LGTM。是迷因輪播 loop 的「審」。觸發：這張夠不夠好笑、驗收迷因圖、meme joker、這個梗會不會冷、迷因輪播審核。

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。

Turn a local talking-head / 口播 video into metadata, transcript, and an AI-composed card-based video where the agent composes cards by cloning styled templates and filling them (designing bespoke only when content needs it), then renders to MP4. Ships with the Interflow AI club sign-off ("Interflow AI 出品"). Use when the user asks for interflow-video-cut, 口播成片, talking-head repurposing, video takeaways, transcript cleanup, or turning a spoken video into a captioned card video.

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。

Write model cards documenting AI capabilities. TRIGGERS - Use when user needs help with ai-model-card-writer related 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。

Make a short product film (website hero loop, landing section, launch film, feature walkthrough, store-listing promo, social cut, illustrated story film) in which the product appears as its own real UI, drawn frame by frame from an HTML timeline, rendered with Playwright and cut with ffmpeg. Four routes: licensed footage cut against cinematic product beats, product beats only, a pointer-driven walkthrough with captions or text cards (plain or kinetic), or a cut-paper collage in which an illustrated cast tells a story over real UI captured from the code with fictional data. Use when asked for a product film, hero video, promo or demo video, launch film, explainer, walkthrough video, paper or collage film, or to recut one. Not for plain screen recordings or voice-over walkthroughs; laying a supplied music track under a finished cut is in scope.

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 this skill when users want to build, edit, or design pages and layouts on Divi 5 WordPress sites. Triggers include creating landing pages, hero sections, testimonial cards, pricing tables, feature grids, blog listing pages with post loops and pagination; adding or modifying sections on existing pages by page ID; setting up design systems with tokens and presets; theme builder templates for headers, footers, and post/page body layouts; mega menus and site navigation; saving to or loading from the Divi library; auditing or cleaning up presets. Handles animations, hover effects, responsive design, and dynamic content. Also covers special effects like WebGL shader backgrounds and advanced CSS animations via the DiviOps Design Library plugin. Do NOT use for custom PHP/plugins, child theme development, standalone CSS authoring, SQL queries, WooCommerce configuration, SEO setup, standalone Three.js projects without WordPress, or non-Divi builders like Elementor.

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 conversational commerce experiences across messaging platforms including chatbot flows, product cards, and conversion strategies. Use this skill when the user needs to sell through LINE, WhatsApp, Instagram DM, or other messaging channels, design chatbot purchasing flows, or integrate messaging into their sales funnel — even if they say 'sell through LINE', 'build a shopping chatbot', 'customers ask to buy in our DMs', or 'conversational sales strategy'.".

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 interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.

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 your competitors and build an interactive battlecard. Outputs an HTML artifact with clickable competitor cards and a comparison matrix. Trigger with "competitive intel", "research competitors", "how do we compare to [competitor]", "battlecard for [competitor]", or "what's new with [competitor]".

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Research competitors and generate a positioning and messaging comparison with content gaps, opportunities, and threats. Use when building sales battlecards, when finding positioning gaps and messaging angles competitors haven't claimed, or when a competitor makes a move and you need to assess the 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。

Design KPI dashboards with SMART metrics, visualization selection, alert thresholds, and refresh cadence. Covers leading vs lagging indicators, data dictionary, and stakeholder-specific views. Use when building operational dashboards, executive scorecards, or team performance views.

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Sensitive data patterns for security testing: API keys, credit cards, emails, SSNs, phone numbers, IPs, and more. Use for data discovery and validation.

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。