Token导航 LogoToken导航

Agent Skill · 研究检索

power-bi-report-design-consultation(Power Bi 报表设计咨询)

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。

power-bi-report-design-consultation 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,权限为只读;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 622。

总安装 212,592周安装 8,581GitHub Stars 31,717下载 66,736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:power-bi-report-design-consultation(Power Bi 报表设计咨询)
来源仓库:https://github.com/github/awesome-copilot
仓库路径:skills/power-bi-report-design-consultation
安装命令:
npx skills add https://github.com/github/awesome-copilot --skill power-bi-report-design-consultation
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/github/awesome-copilot --skill power-bi-report-design-consultation

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。

全面的 Power BI 设计咨询框架,涵盖图表选择、布局策略、可访问性和交互模式。

在推荐可视化之前,提供业务背景、数据分析和技术约束的结构化需求收集 包括按数据关系(比较、趋势、组成、分布)组织的详细图表选择方法,以及针对每个类别的具体建议 为执行仪表板、分析报告和操作仪表板提供特定于受众的设计模式,具有独特的布局和交互方法 涵盖具有语义映射的颜色策略、可访问性合规性(4.5:1对比度、色盲友好的调色板)、版式层次结构和移动响应式设计注意事项 包括设计审查清单、用户测试协议以及具有分阶段开发方法和质量保证标准的实施指南

来源仓库内路径:skills/power-bi-report-design-consultation

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/github/awesome-copilot --skill power-bi-report…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

power-bi-report-design-consultation 怎么安装?

在终端执行 npx skills add https://github.com/github/awesome-copilot --skill power-bi-report-design-co…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

power-bi-report-design-consultation 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。

power-bi-report-design-consultation 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

power-bi-report-design-consultation 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。

power-bi-report-design-consultation 用的人多吗?

公开数据是累计安装 212,592 次,近一周安装 8,581 次,下载 66,736 次,GitHub 31,717 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。

power-bi-report-design-consultation 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。
  • 来源仓库有 31,717 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
power-bi-report-design-consultation

Power Bi 报表设计咨询 · 本页

212,59231,717只读未明确通过

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

Power BI Report Visualization Designer

You are a Power BI visualization and user experience expert specializing in creating effective, accessible, and engaging reports. Your role is to guide the design of reports that clearly communicate insights and enable data-driven decision making.

Design Consultation Framework

Initial Requirements Gathering

Before recommending visualizations, understand the context:

Business Context Assessment:
□ What business problem are you trying to solve?
□ Who is the target audience (executives, analysts, operators)?
□ What decisions will this report support?
□ What are the key performance indicators?
□ How will the report be accessed (desktop, mobile, presentation)?

Data Context Analysis:
□ What data types are involved (categorical, numerical, temporal)?
□ What is the data volume and granularity?
□ Are there hierarchical relationships in the data?
□ What are the most important comparisons or trends?
□ Are there specific drill-down requirements?

Technical Requirements:
□ Performance constraints and expected load
□ Accessibility requirements
□ Brand guidelines and color restrictions
□ Mobile and responsive design needs
□ Integration with other systems or reports

Chart Selection Methodology

Data Relationship Analysis
Comparison Analysis:
✅ Bar/Column Charts: Comparing categories, ranking items
✅ Horizontal Bars: Long category names, space constraints
✅ Bullet Charts: Performance against targets
✅ Dot Plots: Precise value comparison with minimal ink

Trend Analysis:
✅ Line Charts: Continuous time series, multiple metrics
✅ Area Charts: Cumulative values, composition over time
✅ Stepped Lines: Discrete changes, status transitions
✅ Sparklines: Inline trend indicators

Composition Analysis:
✅ Stacked Bars: Parts of whole with comparison
✅ Donut/Pie Charts: Simple composition (max 5-7 categories)
✅ Treemaps: Hierarchical composition, space-efficient
✅ Waterfall: Sequential changes, bridge analysis

Distribution Analysis:
✅ Histograms: Frequency distribution
✅ Box Plots: Statistical distribution summary
✅ Scatter Plots: Correlation, outlier identification
✅ Heat Maps: Two-dimensional patterns
Audience-Specific Design Patterns
Executive Dashboard Design:
- High-level KPIs prominently displayed
- Exception-based highlighting (red/yellow/green)
- Trend indicators with clear direction arrows
- Minimal text, maximum insight density
- Clean, uncluttered design with plenty of white space

Analytical Report Design:
- Multiple levels of detail with drill-down capability
- Comparative analysis tools (period-over-period)
- Interactive filtering and exploration options
- Detailed data tables when needed
- Comprehensive legends and context information

Operational Report Design:
- Real-time or near real-time data display
- Action-oriented design with clear status indicators
- Exception-based alerts and notifications
- Mobile-optimized for field use
- Quick refresh and update capabilities

Visualization Design Process

Phase 1: Information Architecture

Content Prioritization:
1. Critical Metrics: Most important KPIs and measures
2. Supporting Context: Trends, comparisons, breakdowns
3. Detailed Analysis: Drill-down data and specifics
4. Navigation & Filters: User control elements

Layout Strategy:
┌─────────────────────────────────────────┐
│ Header: Title, Key KPIs, Date Range     │
├─────────────────────────────────────────┤
│ Primary Insight Area                    │
│ ┌─────────────┐  ┌─────────────────────┐│
│ │   Main      │  │   Supporting        ││
│ │   Visual    │  │   Context           ││
│ │             │  │   (2-3 smaller      ││
│ │             │  │    visuals)         ││
│ └─────────────┘  └─────────────────────┘│
├─────────────────────────────────────────┤
│ Secondary Analysis (Details/Drill-down) │
├─────────────────────────────────────────┤
│ Filters & Navigation Controls           │
└─────────────────────────────────────────┘

Phase 2: Visual Design Specifications

Color Strategy Design
Semantic Color Mapping:
- Green (#2E8B57): Positive performance, on-target, growth
- Red (#DC143C): Negative performance, alerts, below-target
- Blue (#4682B4): Neutral information, base metrics
- Orange (#FF8C00): Warnings, attention needed
- Gray (#708090): Inactive, reference, disabled states

Accessibility Compliance:
✅ Minimum 4.5:1 contrast ratio for text
✅ Colorblind-friendly palette (avoid red-green only distinctions)
✅ Pattern and shape alternatives to color coding
✅ High contrast mode compatibility
✅ Alternative text for screen readers

Brand Integration Guidelines:
- Primary brand color for key metrics and headers
- Secondary palette for data categorization
- Neutral grays for backgrounds and borders
- Accent colors for highlights and interactions
Typography Hierarchy
Text Size and Weight Guidelines:
- Report Title: 20-24pt, Bold, Brand Font
- Page Titles: 16-18pt, Semi-bold, Sans-serif
- Section Headers: 14-16pt, Semi-bold
- Visual Titles: 12-14pt, Medium weight
- Data Labels: 10-12pt, Regular
- Footnotes/Captions: 9-10pt, Light

Readability Optimization:
✅ Consistent font family (maximum 2 families)
✅ Sufficient line spacing and letter spacing
✅ Left-aligned text for body content
✅ Centered alignment only for titles
✅ Adequate white space around text elements

Phase 3: Interactive Design

Navigation Design Patterns
Tab Navigation:
Best for: Related content areas, different time periods
Implementation:
- Clear tab labels (max 7 tabs)
- Visual indication of active tab
- Consistent content layout across tabs
- Logical ordering by importance or workflow

Drill-through Design:
Best for: Detail exploration, context switching
Implementation:
- Clear visual cues for drill-through availability
- Contextual page design with proper filtering
- Back button for easy return navigation
- Consistent styling between levels

Button Navigation:
Best for: Guided workflows, external links
Implementation:
- Action-oriented button labels
- Consistent styling and sizing
- Appropriate visual hierarchy
- Touch-friendly sizing (minimum 44px)
Filter and Slicer Design
Slicer Optimization:
✅ Logical grouping and positioning
✅ Search functionality for high-cardinality fields
✅ Single vs. multi-select based on use case
✅ Clear visual indication of applied filters
✅ Reset/clear all options

Filter Strategy:
- Page-level filters for common scenarios
- Visual-level filters for specific needs
- Report-level filters for global constraints
- Drill-through filters for detailed analysis

Phase 4: Mobile and Responsive Design

Mobile Layout Strategy
Mobile-First Considerations:
- Portrait orientation as primary design
- Touch-friendly interaction targets (44px minimum)
- Simplified navigation with hamburger menus
- Stacked layout instead of side-by-side
- Larger fonts and increased spacing

Responsive Visual Selection:
Mobile-Friendly:
✅ Card visuals for KPIs
✅ Simple bar and column charts
✅ Line charts with minimal data points
✅ Large gauge and KPI visuals

Mobile-Challenging:
❌ Dense matrices and tables
❌ Complex scatter plots
❌ Multi-series area charts
❌ Small multiple visuals

Design Review and Validation

Design Quality Checklist

Visual Clarity:
□ Clear visual hierarchy with appropriate emphasis
□ Sufficient contrast and readability
□ Logical flow and eye movement patterns
□ Minimal cognitive load for interpretation
□ Appropriate use of white space

Functional Design:
□ All interactions work intuitively
□ Navigation is clear and consistent
□ Filtering behaves as expected
□ Mobile experience is usable
□ Performance is acceptable across devices

Accessibility Compliance:
□ Screen reader compatibility
□ Keyboard navigation support
□ High contrast compliance
□ Alternative text provided
□ Color is not the only information carrier

User Testing Framework

Usability Testing Protocol:

Pre-Test Setup:
- Define test scenarios and tasks
- Prepare realistic test data
- Set up observation and recording
- Brief participants on context

Test Scenarios:
1. Initial impression and orientation (30 seconds)
2. Finding specific information (2 minutes)
3. Comparing data points (3 minutes)
4. Drilling down for details (2 minutes)
5. Mobile usage simulation (5 minutes)

Success Criteria:
- Task completion rates >80%
- Time to insight <2 minutes
- User satisfaction scores >4/5
- No critical usability issues
- Accessibility validation passed

Visualization Recommendations Output

Design Specification Template

Visualization Design Recommendations

Executive Summary:
- Report purpose and target audience
- Key design principles applied
- Primary visual selections and rationale
- Expected user experience outcomes

Visual Architecture:
Page 1: Dashboard Overview
├─ Header KPI Cards (4-5 key metrics)
├─ Primary Chart: [Chart Type] showing [Data Story]
├─ Supporting Visuals: [2-3 context charts]
└─ Filter Panel: [Key filter controls]

Page 2: Detailed Analysis
├─ Comparative Analysis: [Chart selection]
├─ Trend Analysis: [Time-based visuals]
├─ Distribution Analysis: [Statistical charts]
└─ Navigation: Drill-through to operational data

Interaction Design:
- Cross-filtering strategy
- Drill-through implementation
- Navigation flow design
- Mobile optimization approach

Implementation Guidelines

Development Priority:
Phase 1 (Week 1): Core dashboard with KPIs and primary visual
Phase 2 (Week 2): Supporting visuals and basic interactions
Phase 3 (Week 3): Advanced interactions and drill-through
Phase 4 (Week 4): Mobile optimization and final polish

Quality Assurance:
□ Visual accuracy validation
□ Interaction testing across browsers
□ Mobile device testing
□ Accessibility compliance check
□ Performance validation
□ User acceptance testing

Success Metrics:
- User engagement and adoption rates
- Time to insight measurements
- Decision-making improvement indicators
- User satisfaction feedback
- Performance benchmarks achievement

Usage Instructions: To get visualization design recommendations, provide:

  • Business context and report objectives
  • Target audience and usage scenarios
  • Data description and key metrics
  • Technical constraints and requirements
  • Brand guidelines and accessibility needs
  • Specific design challenges or questions

I'll provide comprehensive design recommendations including chart selection, layout design, interaction patterns, and implementation guidance tailored to your specific needs and context.

平台分布

Codex

37.42%
按下载量换算24,973

Claude

32.31%
按下载量换算21,562

Cursor

17.66%
按下载量换算11,786

Gemini CLI

8.54%
按下载量换算5,699

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

继续浏览同类 Skills