'visual' 검색 결과

Build custom interactive charts, maps, and network diagrams with d3.js. The skill guides data preparation, styling, resizing, and interactions such as zooming and tooltips, giving detailed control over how data appears and responds to users.

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• Creating charts beyond standard library options
• Exploring relationships in a network diagram
• Adding zoom and tooltips to visualizations

Create original brand campaign visuals from a supplied reference. Adjust how closely concepts share its visual language, develop distinct brands within one family, and check names, composition, and differences from signature reference elements.

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• Develop original campaign visuals from a reference image
• Create distinct brands with a shared visual direction
• Bring an existing concept closer to its reference

Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-labelledby), source attribution, and transparent backgrounds. Use whenever the user mentions data visualization, charts, graphs, comparison tables that need to be visualized, or wants to embed inline SVG visualizations in a blog post, even if not invoking blog-write. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).

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Python visual creation and matplotlib/seaborn patterns for PBIR reports. Automatically invoke when the user mentions "Python visual", "matplotlib in Power BI", "seaborn in Power BI", "pythonVisual", or asks to "create a Python visual", "add a matplotlib chart", "write a Python visual script".

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Generate branded infographic specifications from any content or data. Outputs structured layout, copy, data visualization, and color scheme — ready to render as HTML/CSS, Satori, Canva, or any design tool. Use this skill when the user wants an infographic, data visual, social media image, comparison chart, stat card, or says "create an infographic for [content]", "make a visual for my LinkedIn post", "design an image for [topic]", "stat graphic for [data]", "comparison infographic", "branded image", "social media graphic", "infographic for [blog post]", "data visualization", "visual content", "image for my post", "LinkedIn carousel image", "feature comparison chart", "pricing table image".

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Generate podcast clip visualization video prompts for Seedance 2.0 on Higgsfield. Use for podcast clip videos, audio-to-visual content, audiogram alternatives, podcast highlight reels, interview clip visuals, or any video that transforms audio content into engaging visual format. Triggers on podcast, audio clip, audiogram, interview clip, sound bite, audio visual, podcast video, episode highlight, podcast clip.

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Create style-driven slide images strictly with the Image 2 model, assemble those images into image-only PPTX decks, and manage reusable visual style libraries from documents or visual references. Use when the user asks for a "PPT Skill", "风格驱动 PPT", "提炼风格做 PPT", "调用某个风格做 PPT", "图片版 PPT", "保存 PPT 风格", "列出 PPT 风格", "文档生成 PPT", "文章生成 PPT", "把文档做成演示文稿", or wants to extract, save, reuse, and apply visual style keywords specifically for visual slide/image deck creation.

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Generate visual prototype prompts from SCR- entries for Google Stitch (or equivalent UI generation tool). Triggers on: 'make a prototype', 'visualize screens', 'generate Stitch prompt', 'I need a visual demo', 'prototype the workflow', 'show me what this looks like', 'get this to a demo', 'visual gate'. Consumes SCR- (Screen Flow Definition), PER- (Personas), UJ- (User Journeys), DES- (Design Components). Outputs Stitch prompt blocks per SCR- entry + Feedback Capture Template. No new SoT IDs created — this skill makes existing SCR- entries visual and routes feedback back to them.

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Chromatic is a visual testing service from the Storybook team that snapshots every story in a cloud browser and shows visual diffs for review on each pull request. Use when the user wants visual regression testing with Storybook, or mentions "chromatic," "visual regression," "Storybook testing," "UI review," "visual diff," or "component snapshot testing." For general screenshot comparison, see percy.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-label), source attribution, and transparent backgrounds. Use whenever the user mentions data visualization, charts, graphs, comparison tables that need to be visualized, or wants to embed inline SVG visualizations in a blog post, even if not invoking blog-write. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", "visualize data", or when the blog-write workflow identifies chart-worthy data points (3+ comparable metrics, trends, before/after data).

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Produce animated source control visualizations using Gource. This skill handles installation of Gource and ffmpeg, detection of repository metrics, preset-based configuration, single and multi-repo log generation, ffmpeg video encoding pipeline, headless rendering for server environments, caption generation from git tags, GitHub avatar resolution, and GSD output delivery. Use this skill whenever the user wants to visualize repository history, create a code evolution video, see project timeline animations, generate Gource videos, combine multiple repos into one visualization, or produce any kind of source control visualization. Also trigger when the user mentions "Gource", "repo visualization", "code history video", "project evolution animation", or asks to "show me what we built".

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Use when generating visual artifacts — explanations, diagrams, slides, or diff visualizations. Triggers on "explain X visually", "diagram this", "show as slides", "diff against main". NOT for rendering a plan as HTML (see mk:visual-plan), live media generation (see mk:multimodal), browser QA (see mk:qa), or plan critique (see mk:plan-ceo-review).

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Inspects PostHog Visual Review (VR) runs that gate PR merges with screenshot regression checks. Use when the user mentions "visual review", "VR", "snapshot diff", "screenshot test", "storybook regression", "playwright snapshot", asks why a PR is blocked or what changed visually, wants to triage the VR backlog, decide whether a snapshot diff is real vs flaky, or check whether a story has been changing across runs. Also invoke when a PR has a failing `visual-review` status check, when a PR comment mentions "Visual review", or when the user is on a branch with an open VR run.

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색상, 형태, 여백 등 디자인 방향을 정하는 단계부터 포스터와 정적 작품을 제작합니다. 글을 최소화한 독창적인 구도를 PNG나 PDF로 만들고 디자인 방향 문서도 함께 제공합니다.

• 주제에 맞는 독창적인 포스터를 제작합니다
• 글을 최소화한 추상 작품을 제작합니다
• 작품과 디자인 방향을 함께 남깁니다

사진 같은 이미지, 일러스트, 제품 목업을 생성합니다. 기존 이미지의 배경 변경, 불필요한 물체 제거, 투명 배경 처리와 참고 이미지를 활용한 다른 시안 제작에도 사용합니다.

• 웹사이트 메인 이미지 제작
• 제품이나 포장 완성 모습 검토
• 불필요한 물체 제거와 배경 변경

Paperclip에서 에이전트와 실행 상태를 나타내는 캡슐 이미지를 제작·구현·점검하고, 브랜드 규칙에 따라 용도별 색상과 움직임, 재현 설정을 정리합니다.

• 에이전트 아바타를 제작합니다
• 실행 상태 표시를 구현합니다
• 마케팅용 주요 이미지를 제작합니다

Generate visual assets through Google Gemini's image generation API, including interface mockups, icons, and illustrations. The supplied entry helps agents discover the skill; running the full workflow requires installing the upstream bundle.

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• Creating visual mockups of an interface
• Generating icons for a design
• Creating illustrations for visual materials

Create original posters and static artwork by first defining a visual direction for color, shape, space, and typography. Receive a Markdown design philosophy alongside a PNG or PDF artwork that communicates primarily through visuals.

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• Create an original poster
• Express a theme through abstract artwork
• Develop a visual direction and finished artwork

Create charts and dashboards with a consistent approach to chart selection, color validation, labels, and interaction. Includes a palette checker and accessibility rules for readable visualizations in both light and dark modes.

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• Choose a chart type that fits the data
• Validate chart colors for color vision differences
• Build charts for light and dark modes

Create and edit bitmap images, such as photos, illustrations, product mockups, and game assets. Use reference images for visual variations, replace backgrounds, remove objects, or make transparent cutouts while preserving specified parts of an existing image.

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• Create photos or illustrations for a website
• Replace a product photo background or remove unwanted objects
• Make transparent cutouts

Make focused interface changes from screenshots, annotations, or visually selected elements. Helps locate the responsible component and apply small style or markup edits while preserving existing behavior, accessibility features, and surrounding design.

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• Adjust a button identified in a screenshot
• Change only one selected card
• Apply interface fixes from visual annotations

Builds or restyles interfaces against an approved image or live web page. It guides repeated visual checks and pixel comparisons, then preserves reusable styling rules and components alongside screenshots and verification evidence.

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• Building an interface from an approved mockup
• Restyling an interface to match a live web page
• Preserving reusable styles and components from a visual implementation

Create original posters and static artwork by first defining a visual direction for color, shape, space, and typography. Receive a Markdown design philosophy alongside a PNG or PDF artwork that communicates primarily through visuals.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create an original poster
• Express a theme through abstract artwork
• Develop a visual direction and finished artwork

Use TensorBoard to visualize training loss and accuracy, compare experiments, and inspect model structure. Includes PyTorch and TensorFlow logging examples for examining weight distributions, predictions, and performance bottlenecks during machine learning training.

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• Comparing loss and accuracy across training runs
• Inspecting weight and gradient distributions
• Exploring embeddings in two or three dimensions