「visual」の検索結果

Generate visual hierarchy diagrams of agent system showing levels and delegation. Use for documentation or onboarding.

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 whenever the user asks for an HTML-first visual design deliverable or design judgment: interactive prototype, slide deck, motion demo, infographic, dashboard, landing page, whitepaper, changelog, business card, social cover, brand system, design critique, multi-variant exploration, or export to MP4, GIF, PPTX, PDF, or SVG. It is optimized to make AI agents do the routing, template selection, verification, and export prep so humans spend less time prompt-engineering. Do not use for production web apps, SEO sites, backend systems, or pure copy edits.

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。

MATLAB R2026a data analysis workflow for tables, timetables, statistics, fitting, optimization-assisted analysis, visualization, report artifacts, and reproducible paper figures. Use whenever the user asks MATLAB to analyze data, plot results, fit models, process CSV/Excel/MAT files, or reproduce figures.

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。

MATLAB R2026a and Simulink workflow for creating, inspecting, modifying, simulating, validating, and exporting .slx models. Use for Simulink, Stateflow, Simscape, model-based design, parameter sweeps, signal logging, requirements, and simulation automation. On this machine, Simulink tasks should be visual-first: open the model in a visible Simulink window before doing substantial automated modeling or simulation so the user can watch the process.

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 chart and data visualization palettes from Chinese traditional colors. Use when a user needs categorical, sequential, diverging, highlight, dashboard, map, ECharts, D3, Chart.js, or colorblind-aware data palettes with Chinese traditional color identity.

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。

"Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. (gstack)".

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。

Visual design audit for iOS apps on real hardware. (gstack).

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。

Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check. Use when building landing pages, portfolios, redesigns, or frontend interfaces that need strong visual taste.

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 publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.

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 effective data dashboards with proper KPI hierarchy, chart type selection, and interactive features. Use this skill when the user needs to create a dashboard, choose the right visualizations, organize metrics for different audiences, or evaluate dashboard tools — even if they say 'build a dashboard', 'our reports are confusing', 'which chart should I use', or 'executives can't find the metrics they need'.".

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 story dependencies, detect issues, and generate visual dependency graphs

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 high-converting, visually distinctive landing pages. Use when building marketing pages, product launches, SaaS homepages, or any single-page conversion-focused website. Guides section-by-section composition with anti-AI-slop 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。

Use when designing, redrawing, or validating research-paper figures and tables, including Matplotlib plots, LaTeX tables, benchmarks, captions, legends, annotations, color, and typography. Preserves exact evidence and checks rendered PDFs for clipping, overlap, and readability.

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 Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.

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。

Facilitate SAFe 6.0 PI Planning events. Structure the 2-day cadence, generate PI Objectives with Business Value scores, build the Program Board for dependency visualization, and run the Confidence Vote. Use before every Program Increment when the organization follows SAFe.

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。

Structure presentations, pitch decks, and internal slide decks from rough ideas into clear outlines with slide-by-slide content guidance, key messages, and data callouts. Use when the work is organizing thoughts into a presentation structure. Do not use for visual design, slide layout, or graphic creation.

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.

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 adding visual effects to a PlayCanvas app, to choose between particle systems, shader chunks, runtime meshes, and post-processing.

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。

Read, create, edit, and verify PDFs with local code-execution tools and rendered-page inspection. Use whenever PDF layout, forms, extraction, merging, or final visual quality matters.

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 or revise Interpreter UI for non-developers with an ultra-minimal, utilitarian style inspired by the OpenAI website and ChatGPT, not the developer platform. Use when simplifying settings, onboarding, chat, forms, empty states, or helper copy; when removing extra containers, labels, or visual noise; when replacing technical wording with plain language; when clarifying hierarchy and making the main user action obvious; when making every visible label and status understandable to an average HR admin or other non-technical user; when hiding implementation details such as logs, IDs, endpoints, paths, or protocol names; or when a screen must respect the app's existing CSS variables and light/dark theme behavior.

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。

End-to-end AI website generation pipeline. Claude Opus 4.8 emits Bolt-style <boltArtifact> envelopes (multi-file, plan-first) that customize Vite+React+Tailwind templates from pre-researched business data. Pre-research via APIs, media acquisition, brand extraction, visual inspection via GPT Image 2 vision, R2 upload (per-file content-type by extension), D1 status updates. Supports all business types: SaaS, portfolio, non-profit, restaurant, salon, medical, legal, retail, tech.

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。

MANDATORY deploy after every code change. Typecheck → deploy → purge CDN → E2E on production → visual verify → fix-forward loop. Workers Builds native CI/CD, D1 Time Travel PIT recovery, D1→R2 long-term backups, wrangler rollback, wrangler secrets management, structured observability, cross-browser smoke tests, rollback procedures, and GitHub auto-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。

Storybook patterns - CSF 3.0, args, controls, autodocs, play functions, interaction testing, visual testing, addons 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。