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The creation of effective visualizations is a fundamental component of data analysis. In biomedical research, new challenges are emerging to visualize multi-dimensional data in a 2D space, but current data visualization tools have limited capabilities. To address this problem, we leverage Gestalt principles to improve the design and interpretability of multi-dimensional data in 2D data visualizations, layering aesthetics to display multiple variables. The proposed visualization can be applied to

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Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.

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The ultimate brand asset: a consistent, explorable universe generated by AI. This skill covers creating coherent brand worlds, consistent characters, architectural spaces, and visual universes that serve as the foundation for all marketing content. Traditional brand building creates guidelines. AI world building creates explorable realities. Characters with consistent personalities across thousands of images. Environments that feel like real places. Visual languages so coherent that any new asset feels like it belongs. This is where AI generation meets universe design. The practitioners of this skill don't just create images—they create the DNA that generates infinite consistent images. They build the source code for visual worlds. Use when "world building, brand world, universe, consistent character, character design, visual language, brand universe, style bible, world bible, coherent assets, character sheet, environment design, world-building, universe, character-design, consistency, visual-language, brand-world, style-guide" mentioned.

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The enhancement layer for AI-generated content. This skill covers AI-powered visual effects, compositing, upscaling, restoration, and post-production magic—turning raw AI output into polished, professional content. AI generation gets you 80% of the way. Visual effects get you the remaining 20% that separates "clearly AI" from "how did they do that?" This skill covers ComfyUI workflows, Runway's AI tools, intelligent upscaling, rotoscoping, color grading, and the integration of AI elements into traditional footage. The practitioners of this skill are technical artists who understand both traditional VFX workflows and the new AI-native approaches that are revolutionizing post-production. Use when "AI visual effects, VFX, upscale, upscaling, composite, rotoscope, background removal, color grade, inpaint, outpaint, style transfer, enhance, ComfyUI, post-production AI, vfx, visual-effects, compositing, upscaling, post-production, comfyui, enhancement, color-grading" mentioned.

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Mastery of AI image generation across the full spectrum: Midjourney for aesthetic perfection, Flux for prompt adherence, DALL-E 3 for concept clarity, Stable Diffusion for control, and Imagen 3 for photorealism. This skill transforms text into visual reality at the speed of thought. We've moved beyond "AI can make pictures" to "AI is the fastest concept artist, product photographer, and visual designer ever created." The skill isn't just prompting—it's understanding how each model thinks, what makes images work, and how to systematically produce exactly what you envision. The best AI image generators have internalized composition, lighting, color theory, and style—not by studying art, but by generating thousands of images and learning what works. They're visual directors who happen to work in text. Use when "AI image, generate image, Midjourney, DALL-E, Flux, Stable Diffusion, Imagen, text to image, AI art, AI photo, AI illustration, AI visual, AI graphics, generate picture, ai-image, midjourney, dall-e, flux, stable-diffusion, imagen, generation, text-to-image, visual, art" mentioned.

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Use when asked to audit UI for visual quality, check design consistency, review brand alignment, evaluate design system compliance, or find visual issues before a launch. Examples: "audit our UI", "check visual consistency", "review the design for issues", "is our UI on-brand", "find visual bugs", "design QA before launch".

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Create R-based pictogram glyphs for skill, agent, or team icons in the visualization layer. Covers concept sketching, ggplot2 layer composition using the primitives library, color strategy, registration in the appropriate glyph mapping file and manifest, rendering via the build pipeline, and visual verification of the neon-glow output. Use when a new entity has been added and needs a visual icon for the force-graph visualization, an existing glyph needs replacement, or when batch-creating glyphs for a new domain.

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On-brand visual marketing content using Paper MCP and parallel agent teams. Reads the project's brand/ directory to build a design system, then spawns designer agents in parallel — each creating a unique artboard with a different on-brand layout interpretation. Intelligently adapts agent count and approach based on user goals via AskUserQuestion interrogation. Produces Instagram carousels, TikTok slideshows, social posts, story slides, and visual assets. When used with content spec YAMLs from /slideshow-script, each agent gets a unique script AND unique design direction. Make sure to use this skill whenever the user wants visual marketing content designed in Paper — carousels, slideshows, social posts, story slides, or any visual asset. Even if they just say "design something" or "make slides" or "create visual content", this is the skill. Also triggers on "paper marketing", "instagram design", "TikTok design", "slideshow design", "create carousel", or "social graphics".

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Generate an interactive HTML brand playground that shows your brand rendered live — palette, typography, logo, voice — with a social card and OG image preview that updates as you tweak tokens. Opens in browser. The visual approval step for the /cmo flow: /visual-style writes the brand, this skill shows it. Use when the user says "show me my brand", "brand playground", "preview my brand", "what does our brand look like", "visual preview", "brand kit", "see my colors", "how does my brand look", or after /visual-style completes and the user needs to approve the visual identity before moving to content generation. Also use when someone says "I want to see it" during any brand-building conversation.

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Premium UI/UX design audit and refinement skill. Conducts systematic visual audits of existing apps and produces phased, implementation-ready design plans. Use this skill whenever the user asks to audit a UI, improve an app's visual design, make an interface feel more polished or premium, review design consistency, fix visual hierarchy, or refine spacing/typography/color. Also trigger when the user says "design review", "make it look better", "UI polish", "visual refinement", "design pass", "audit the design", or references making an app feel more professional. This skill is purely visual — it does not touch functionality, logic, or features. It elevates what exists.

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Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

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Create visual designs, graphics, and layouts using HTML Canvas API or design tools for data visualization, graphics, animations, and interactive visual content. Use when creating data visualizations, building interactive graphics, implementing drawing tools, creating charts and diagrams, building game graphics, implementing image manipulation, or creating dynamic visual content.

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Verify every visual-evidence artifact (screenshot/GIF/recording) attached to a PR carries a provenance manifest binding it to real daemon-backed truth — daemon port, run id, transcript head hash, agent node id, commit, and an honest real/fixture/mock source label — and that operator-control-panel PRs cover the required set of proof states. Use when gating a PR's proof artifacts before merge, auditing whether a "LIVE" visual claim is backed by a real daemon run versus a reused or fixture-backed mock, or defining the required state-coverage set for a control-panel change. NOT for the capture technique itself — headless Playwright, `screencapture -x -l`, non-interruptive capture (use port-daddy-agent-skill's visual-evidence doctrine), designing the receipt body schema an artifact attaches to (use agent-work-receipt-designer), or the broader dogfood/Potemkin product-quality bar (use multi-agent-authoring-product-bar).

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Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

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从现有界面代码中提取颜色、字体和间距等共用规则，生成设计说明与交互预览。按十个维度评估视觉一致性，并指出具体修改位置。

• 从现有代码提取设计规则
• 改版前检查视觉一致性
• 审查修改样式的拉取请求

使用WebGL制作全屏动态视觉，将着色器图案、3D场景或粒子效果与标题叠加，交付无需外部通信的单个HTML文件。

• 制作网站首屏动态视觉
• 制作带标题的生成艺术
• 试作3D场景与粒子效果

在制作前，根据现有设计规则、品牌资料或项目需求确定一个视觉方向，整理配色、字体和留白等实施设置，并将选定方向写入计划。

• 实施前确定设计方向
• 应用现有设计规则
• 根据品牌资料制定设计方针

制作介绍品牌标志、配色、字体及使用规则的HTML幻灯片，保留奶油色背景和多彩点缀，将品牌内容整理为供客户或团队讨论的演示资料。

• 发布户外品牌视觉设计
• 制作创意公司的提案资料
• 与客户评审品牌方案

将参考图片和模糊的视觉偏好整理为配色、字体、布局等具体设计方向，生成可复用的DESIGN.md、决策记录及制作交接说明。

• 根据参考图片确定应用外观
• 在改版前明确设计判断标准
• 交接幻灯片的设计规则

引导反复评审、调整和完善已实现的界面，缩小其与设计要求之间的视觉差异；此目录条目用于找到原始工作流程，完整使用前需另行安装。

• 对照已实现界面与设计要求
• 反复调整界面的视觉差异
• 规划从设计到实现的复查环节

将标志、配色、字体及屏幕和印刷品上的应用示例汇成一张品牌展示图，依据品牌目的与受众，呈现视觉风格统一的设计方案。

• 分享新产品的品牌形象
• 探讨具有明确含义的标志方案
• 集中查看配色、字体与应用示例

使用D3.js制作可交互的图表，让读者在阅读时探索数据。借助多种图表与表现手法的示例，可用于报告、仪表盘、数据原型和文章配图。

• 通过可缩放图表查看销售数据
• 展示数据之间的关系
• 用颜色呈现每日变化趋势

将图表、关系图、表格、报告和界面模型制作成HTML页面，直接显示在Orca聊天中，为文字回答补充可视化说明，帮助比较数值、解释信息关系和界面布局。

• 用图表比较数值
• 用关系图解释信息之间的联系
• 在聊天中展示表格和报告

根据数据特点，从26种图表和示意图中选择合适的形式并生成图片，可展示时间变化、比较、分布和关联，并返回图片链接及生成时使用的完整配置。

• 展示随时间变化的趋势
• 比较类别与构成比例
• 展示分布与相关性