Official agent skill

Power Bi Report Design Consultation

by github in github/awesome-copilot

Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

OfficialMITAuto-check passedData & Analytics

Install Power Bi Report Design Consultation

skills CLI
$ npx skills add github/awesome-copilot --skill power-bi-report-design-consultation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install github/awesome-copilot power-bi-report-design-consultation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/power-bi-report-design-consultation .claude/skills/power-bi-report-design-consultation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
power-bi-report-design-consultation
GitHub stars
40k
Used in
1 other repo
Token cost
~2.7k tokens
SKILL.md length
176 words
Files
1
Skills in repo
417
Repo updated
First seen
Licence
MIT

At a glance

Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

  • Works in 4 steps: Information Architecture → Visual Design Specifications → Interactive Design → …
  • Data & Analytics work in your project
  • SKILL.md covers Design Consultation Framework, Visualization Design Process, Design Review and Validation and Visualization Recommendations…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Power Bi Report Design Consultation is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

Its SKILL.md is about 2.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics. It works with Power BI. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.

When your agent uses it

  • Data & Analytics work in your project

Example prompts

  • “/power-bi-report-design-consultation”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Information Architecture
  2. Visual Design Specifications
  3. Interactive Design
  4. Mobile and Responsive Design

What it can do on your machine

Read from SKILL.md and the folder at commit 7cce7cf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Power Bi Report Design Consultation loads about 2.7k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 176 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from github/awesome-copilot at commit 7cce7cf, republished under its MIT licence (© github). 176 words, ~2,723 tokens.

Download SKILL.mdSave it as .claude/skills/power-bi-report-design-consultation/SKILL.md (or your agent's skills folder).
name
power-bi-report-design-consultation
description
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

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.

© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/power-bi-report-design-consultation of github/awesome-copilot.

Open the folder on GitHubat commit 7cce7cf

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in github/awesome-copilot, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Power Bi Report Design Consultation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Power Bi Report Design Consultation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Power Bi Report Design Consultation this skillgithub/awesome-copilot40k1 repos~2.7kAutomated safety check: PassMIT
Modifying Theme JSONdata-goblin/power-bi-agentic-development1k—~1.7kAutomated safety check: PassGPL-3.0
Pbi Report Designdata-goblin/power-bi-agentic-development1k—~5.4kAutomated safety check: PassGPL-3.0
Power Bi AI ReadinessDKH-DK/Self-Service-Power-BI-Fabric113—~2kAutomated safety check: PassNone
Pbi Report Builderlukasreese/powerbi-claude-skills128—~7.5kAutomated safety check: PassNone
Pbi Docxperiun/skills-xperiun-free116—~3kAutomated safety check: PassMIT

Similar skills

  • Modifying Theme JSON

    data-goblin/power-bi-agentic-development

    Design, enforce, audit, and validate Power BI report themes through the pbir CLI.

    1k GitHub stars~1.7k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Pbi Report Design

    data-goblin/power-bi-agentic-development

    The Power BI report design canon covering design identity, visual hierarchy and the 3-30-300 rule, layout/spacing/alignment, color discipline, chart selection, KPI and card design, tables and…

    1k GitHub stars~5.4k tokensUpdated yesterday
    Data & AnalyticsAuto-check passed
  • Power Bi AI Readiness

    DKH-DK/Self-Service-Power-BI-Fabric

    Score and prepare Power BI semantic models for AI (Fabric Data Agent / Copilot).

    113 GitHub stars~2k tokensUpdated 3 mo ago
    Data & AnalyticsAuto-check passed
  • Pbi Report Builder

    lukasreese/powerbi-claude-skills

    [power-bi] Power BI PBIR Report Builder with IBCS Visuals. An agent skill from lukasreese/powerbi-claude-skills.

    128 GitHub stars~7.5k tokensUpdated 5 mo ago
    Data & AnalyticsAuto-check passed
  • Pbi Doc

    xperiun/skills-xperiun-free

    Documenta projeto Power BI (PBIP) inteiro em markdown estruturado + HTML navegável (mini-site de doc).

    116 GitHub stars~3k tokensUpdated 21 days ago
    Data & AnalyticsAuto-check passed
  • Pbip Dependency Analyzer

    lukasreese/powerbi-claude-skills

    Power BI PBIP Dependency Analyzer. An agent skill from lukasreese/powerbi-claude-skills.

    128 GitHub stars~3.2k tokensUpdated 5 mo ago
    Data & AnalyticsAuto-check passed

More from github/awesome-copilot

All 417 skills in this repo
  • Acquire Codebase Knowledge

    github/awesome-copilot

    Official

    Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.

    40k GitHub starsUsed in 1 repo~2.3k tokens
    Auto-check passed
  • Azure Architecture Autopilot

    github/awesome-copilot

    Official

    Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.

    40k GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Draw.io Diagram Generator

    github/awesome-copilot

    Official

    Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.

    40k GitHub starsUsed in 1 repo~4.9k tokens
    Auto-check passed
  • Credit Risk Data Cleaning

    github/awesome-copilot

    Official

    Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.

    40k GitHub starsUsed in 1 repo~1.5k tokens
    Auto-check passed
  • Daily Focus Board

    github/awesome-copilot

    Official

    Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.

    40k GitHub stars~3k tokensUpdated today
    Auto-check passed
  • Python Pypi Package Builder

    github/awesome-copilot

    Official

    End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.

    40k GitHub starsUsed in 1 repo~4.6k tokens
    Auto-check passed

Works with

Questions about Power Bi Report Design Consultation

What does Power Bi Report Design Consultation do?

Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design. Power Bi Report Design Consultation is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.

When should I use Power Bi Report Design Consultation?

Power Bi Report Design Consultation fits situations like: data & Analytics work in your project.

How do I install Power Bi Report Design Consultation in Claude Code?

Run `npx skills add github/awesome-copilot --skill power-bi-report-design-consultation -a claude-code`. Or copy the skill folder (skills/power-bi-report-design-consultation in github/awesome-copilot) into .claude/skills/power-bi-report-design-consultation in your project. Claude Code loads it when a task matches its description.

How do I install Power Bi Report Design Consultation in Codex?

Run `npx skills add github/awesome-copilot --skill power-bi-report-design-consultation -a codex`. Or copy the skill folder (skills/power-bi-report-design-consultation in github/awesome-copilot) into .agents/skills/power-bi-report-design-consultation in your project. Codex loads it when a task matches its description.

Can I use Power Bi Report Design Consultation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add github/awesome-copilot --skill power-bi-report-design-consultation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/power-bi-report-design-consultation, .gemini/skills/power-bi-report-design-consultation, .github/skills/power-bi-report-design-consultation and .opencode/skills/power-bi-report-design-consultation in your project.

What does Power Bi Report Design Consultation need to run?

SKILL.md names no scripts, command-line tools or credentials: Power Bi Report Design Consultation is instructions for the agent only.

Does Power Bi Report Design Consultation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Power Bi Report Design Consultation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Power Bi Report Design Consultation use?

Power Bi Report Design Consultation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Power Bi Report Design Consultation use?

About 2.7k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Power Bi Report Design Consultation?

Skills that share tags, products or a category with Power Bi Report Design Consultation: Modifying Theme JSON (data-goblin/power-bi-agentic-development, 1k stars), Pbi Report Design (data-goblin/power-bi-agentic-development, 1k stars), Power Bi AI Readiness (DKH-DK/Self-Service-Power-BI-Fabric, 113 stars) and Pbi Report Builder (lukasreese/powerbi-claude-skills, 128 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Power Bi Report Design Consultation?

github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,792 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 8, 2026.

Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.