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Agent Skill · 研究检索

desktop-app-design(桌面应用程序设计)

用于辅助界面设计、视觉规范、排版、配色、布局和交互体验优化。它适合让 Agent 根据产品场景整理页面结构、生成 UI 方案、检查视觉一致性或改进组件层级。使用时需要结合现有品牌、设计系统和用户任务,不应只堆装饰元素;涉及真实页面改动时,应通过截图或浏览器预览检查文本溢出、对齐和响应式表现。

desktop-app-design 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 24,092。

总安装 4,104周安装 160GitHub Stars 3下载 2,079核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:desktop-app-design(桌面应用程序设计)
来源仓库:https://github.com/phazurlabs/ux-ui-mastery
仓库路径:skills/desktop-app-design
安装命令:
npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill 'Desktop App Design'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill 'Desktop App Design'

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

该技能专注专业级桌面应用设计,优化信息密度与持续工作效率。融合 Edward Tufte 数据墨水比理念与 Jony Ive 简洁美学,平衡新手与专家体验。强调控件层级、快捷键支持与多显示器适配,避免装饰性元素堆砌。安装前需确认设计系统基础,建议通过原型验证布局在不同分辨率下的表现。

desktop-app-design 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/desktop-app-design

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill 'Desktop App…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

desktop-app-design 怎么安装?

在终端执行 npx skills add https://github.com/phazurlabs/ux-ui-mastery --skill 'Desktop App Design'。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

desktop-app-design 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

desktop-app-design 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

desktop-app-design 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

desktop-app-design 用的人多吗?

公开数据是累计安装 4,104 次,近一周安装 160 次,下载 2,079 次,GitHub 3 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

desktop-app-design 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
desktop-app-design

桌面应用程序设计 · 本页

4,1043操作浏览器未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Desktop App Design — Professional & Enterprise Excellence

Desktop Design Philosophy

Desktop applications serve users who invest hours of focused attention in professional workflows. Unlike mobile's brief, task-focused interactions, desktop design must optimize for sustained productivity, information density, and expert efficiency. The challenge is supporting both first-day learnability and thousandth-day mastery within the same interface.

Core Principles (Edward Tufte + Jony Ive)

  1. Information density with clarity — show more data without increasing cognitive load (Tufte: "maximize data-ink ratio")
  2. Invisible design — the interface should disappear, leaving only the work (Ive: "true simplicity is derived from so much more than just the absence of clutter")
  3. Keyboard-first, mouse-enhanced — power users live on the keyboard; mouse interaction is the fallback
  4. Progressive complexity — simple surface, deep capability accessible through exploration
  5. Spatial memory — consistent layouts allow users to develop muscle memory over months of use

Dashboard Design

Dashboard Types

Operational Dashboards

  • Real-time monitoring with auto-refresh (5-30 second intervals)
  • Status-at-a-glance with clear normal/warning/critical states
  • Anomaly detection with visual emphasis on outliers
  • Minimize decoration — every pixel serves monitoring goals

Analytical Dashboards

  • Interactive exploration with filter, drill-down, and cross-filtering
  • Comparison-oriented: support time-range, segment, and baseline comparisons
  • Export and sharing capabilities for collaborative analysis
  • Allow users to create and save custom views

Strategic Dashboards

  • KPI-focused with trend indicators and goal tracking
  • Executive summary level — 5-7 key metrics maximum
  • Contextual benchmarks (vs. target, vs. last period, vs. industry)
  • Minimal interaction needed — the story should be immediately clear

Dashboard Layout Principles

  • F-pattern reading: Place the most critical metric top-left, summary row at top
  • Card-based layout: Each card is one complete thought — metric + context + trend
  • Consistent grid: 12-column grid with standardized card sizes (1/4, 1/3, 1/2, full)
  • Information hierarchy: Primary numbers large (24-48px), secondary context small (12-14px)
  • Color as data: Use color to encode meaning (red=bad, green=good), not decoration
  • White space as separator: Generous padding between cards reduces cognitive switching cost

Data Visualization Best Practices (Tufte)

  • Choose chart types based on the relationship being shown: comparison → bar, trend → line, composition → stacked bar, distribution → histogram
  • Label data directly rather than using legends when possible
  • Eliminate chartjunk: unnecessary gridlines, 3D effects, decorative elements
  • Use consistent axis scales across comparable charts
  • Small multiples (repeated small charts) outperform single complex charts for comparison
  • Accessible color palettes: ensure distinguishability for color vision deficiency

Data Table Design

Table Architecture

  • Fixed headers that persist during vertical scroll
  • Fixed key columns (usually first 1-2) that persist during horizontal scroll
  • Row height: 40-52px standard, 32px compact mode for data-heavy views
  • Column resizing by dragging column borders
  • Column reordering by drag-and-drop headers
  • Row striping (subtle alternating background) for wide tables — optional for narrow ones

Table Functionality

  • Sorting: Click column header to sort; show direction indicator; support multi-column sort
  • Filtering: Column-level filters with appropriate types (text search, range, multi-select)
  • Search: Global search across all visible columns with result highlighting
  • Pagination vs. infinite scroll: Pagination for data manipulation tasks, infinite scroll for browsing
  • Bulk actions: Checkbox selection with select-all, action toolbar appears on selection
  • Inline editing: Double-click to edit cells for quick corrections; full edit mode for complex changes
  • Export: CSV, Excel, PDF with current filter/sort state preserved

Table Density Modes

  • Comfortable: 52px rows, generous padding — default for general audiences
  • Standard: 40px rows — default for data-oriented users
  • Compact: 32px rows, smaller text — for power users managing large datasets
  • Allow users to toggle density preference with persistent setting

Complex Workflow Design

Multi-Step Workflows

  • Progress indicator: Show current step, total steps, and completion state
  • Non-linear navigation: Allow jumping to completed steps for editing
  • Save draft at every step — never lose user work on navigation
  • Summary/review step before final submission
  • Clear step labels that describe the content, not just "Step 1, Step 2"

Form-Heavy Interfaces

  • Section grouping with clear headings and optional collapse
  • Contextual help near complex fields — info icons with tooltips or inline descriptions
  • Dependent fields: Show/hide fields based on previous selections
  • Auto-save with visual confirmation (subtle "Saved" indicator)
  • Validation summary at top of form linking to each error field

Master-Detail Pattern

  • List/grid on left, detail panel on right — the dominant desktop productivity pattern
  • Support resizable split panes
  • Detail panel updates without full page reload
  • Keyboard navigation: arrow keys traverse list, Enter opens detail, Escape returns to list
  • Mobile adaptation: replace side-by-side with stack navigation

Keyboard-First Interaction

Essential Keyboard Patterns

  • Global shortcuts: Document common shortcuts in an overlay (? or Ctrl+/)
  • Command palette: Cmd/Ctrl+K for quick action access — the most important desktop UX innovation of the 2020s
  • Tab order: Logical focus progression through interactive elements
  • Focus indicators: Always visible, high-contrast focus rings (never remove outline without replacement)
  • Escape key: Consistently closes modals, dropdowns, and cancels operations

Shortcut Design Rules

  • Follow platform conventions (Ctrl/Cmd+S = Save, Ctrl/Cmd+Z = Undo)
  • Avoid overriding browser shortcuts
  • Use modifier combinations logically: Ctrl = action, Shift = modify/extend, Alt = alternate
  • Provide visual shortcut hints in menus, tooltips, and command palette

Multi-Window and Panel Management

Panel Patterns

  • Sidebar navigation: Collapsible, persistent across views, icon+label or icon-only modes
  • Inspector panels: Right-side contextual properties panel (design tool pattern)
  • Bottom panels: Console, log, terminal outputs — resizable with collapse
  • Floating panels: Detachable for multi-monitor workflows

State Management

  • Persist panel states (open/closed, sizes) across sessions
  • Remember user's last-used view and filters
  • Support workspace presets ("Developer layout", "Review layout")
  • Handle window resize gracefully — responsive desktop is essential for varied monitor sizes

Enterprise-Specific Patterns

Permission-Aware UI

  • Hide elements users cannot access (not just disable) for cleaner interfaces
  • For disabled elements that provide context, show tooltip explaining why access is restricted
  • Role-based views: admin sees all controls, viewer sees read-only, etc.
  • Audit trails for sensitive actions with clear attribution

Notification and Alert Design

  • Severity levels: Info (blue), Success (green), Warning (amber), Error (red), Critical (red + icon)
  • Position: Non-blocking toasts for confirmations, blocking modals for critical decisions
  • Persistence: Success toasts auto-dismiss (3-5s), errors persist until addressed
  • Grouping: Batch similar notifications to prevent notification fatigue

Empty States and Onboarding

  • First-run experience should guide users to first value moment
  • Empty states include illustration, explanation, and clear CTA to populate the view
  • Progressive onboarding: introduce features as they become relevant, not all at once
  • In-app guidance: highlight new features with subtle callouts, dismissible permanently

Cross-Referencing

  • For data visualization accessibility, reference accessibility-inclusive-design
  • For design token systems, reference design-systems-architecture
  • For interaction and transition design, reference interaction-motion-design
  • For UX evaluation, reference nng-ux-heuristics

v3.0 Cross-References

The v3.0 upgrade introduces comprehensive data visualization references, production component patterns, and design tool workflows that extend desktop application design capabilities.

Data Visualization Patterns — references/data-visualization-patterns.md

The new references/data-visualization-patterns.md reference expands significantly on the Data Visualization Best Practices section above. It covers: comprehensive chart type selection guides with decision trees (when to use bar vs. column, line vs. area, scatter vs. bubble, treemap vs. sunburst); accessible data visualization patterns including screen reader-compatible chart descriptions, sonification approaches, and tactile-friendly data encoding; and dashboard composition frameworks for arranging multiple visualizations into coherent analytical narratives. Includes real-world examples of dashboard redesigns with before/after performance metrics.

Production Component Patterns — component-patterns-code

The component-patterns-code skill provides production-ready React component patterns directly applicable to desktop application design. Includes data table components with full state matrices (loading, empty, error, paginated, filtered, sorted, bulk-selected), command palette implementations, master-detail layout components, resizable panel systems, and keyboard-navigable tree views. Each component cookbook entry includes TypeScript types, accessibility annotations, and Storybook configurations — bridging the gap between the design patterns in this skill and production code.

Design Tool Workflows — figma-design-tool-workflows

The figma-design-tool-workflows skill covers the Figma-to-code pipeline applicable to desktop design systems. Relevant capabilities include: Figma variable modes for light/dark/high-contrast theme switching; auto-layout configurations that map to CSS Grid and Flexbox; component property definitions that generate developer handoff specifications; and the MCP-powered design-to-code flywheel that enables continuous synchronization between Figma design system files and production component libraries. Particularly valuable for desktop apps with complex theming requirements and dense component libraries.

Key Sources

  • Tufte, E. (2001). "The Visual Display of Quantitative Information"
  • Cooper, A. (2014). "About Face: The Essentials of Interaction Design"
  • Microsoft Fluent Design System guidelines
  • Apple macOS Human Interface Guidelines
  • NNG Group enterprise UX research

平台分布

Codex

33.62%
按下载量换算699

Claude

32.08%
按下载量换算667

Cursor

19.72%
按下载量换算410

Gemini CLI

10.06%
按下载量换算209

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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