mckinsey-style-visualization
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- 88 / 100 · community maintained
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- @kgraph57 · no license declared
- Token usage
- Moderate
- Setup complexity
- Guided setup
- External API key
- Not required
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- Unspecified (assume cross-platform)
- Runtime requirements
- No special requirements
- Permissions
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- Read-only
- Write / modify
- Shell exec
- Network behavior
- Local-only
- Install commands
- 26 variants
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
---
name: mckinsey-style-visualization
description: > Use when ** Showing adoption rates, market growth, performance over time. This skill enables t…
category: other
runtime: no special runtime
---
# mckinsey-style-visualization output preview
## PART A: Task fit
- Use case: > Use when ** Showing adoption rates, market growth, performance over time. This skill enables the creation of high-density, professional consulting presentation slides and data visualizations in the style of top-tier strategy firms (McKinsey, BCG, Bain). The output combines institutional authority with editorial financial-report aesthetics, designed for ….
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Overview / When to Use This Skill / Core Design Principles” and do not present inference as author intent.
## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “> Use when ** Showing adoption rates, market growth, performance over time. This skill enables the creation of high-density, professional consulting presentation slides and data visualizations in the style of top-tier strategy firms (McKinsey, BCG, Bain). The output combines institutional authority with editorial financial-report aesthetics, designed for …”.
- **02** When the source has headings, the agent prioritizes “Overview / When to Use This Skill / Core Design Principles” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
## Running Rules
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options. The source does not require a stable slash command. After installation, invoke the skill by name and describe the task.
Name target files or source material, expected output, forbidden changes, and whether network or shell access is allowed. Permission fingerprint: read files, write/modify files, run shell commands.
Start with a small task and check whether the result follows “Overview / When to Use This Skill / Core Design Principles”. Inspect diffs, logs, previews, or tests before expanding scope.
Confirm the final output includes a concrete result, evidence, and next action. If it stays generic, tighten inputs, boundaries, and acceptance criteria.
---
name: mckinsey-style-visualization
description: > Use when ** Showing adoption rates, market growth, performance over time. This skill enables t…
category: other
source: kgraph57/mckinsey-style-visualization-skill
---
# mckinsey-style-visualization
## When to use
- > Use when ** Showing adoption rates, market growth, performance over time. This skill enables the creation of high-de…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.
## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.
## Execution rules
- Organize steps around “Overview / When to Use This Skill / Core Design Principles” and keep inference separate from source facts.
- read files, write/modify files, run shell commands; mostly runs locally; usually needs no extra API key.
- Validate with a small sample before expanding the task.
## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies. The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.
skill "mckinsey-style-visualization" {
input -> user goal + target files + boundaries + acceptance criteria
context -> Overview / When to Use This Skill / Core Design Principles
rules -> SKILL.md triggers / order / output contract
runtime -> no special runtime | read files, write/modify files, run shell commands | mostly runs locally
guardrails -> usually needs no extra API key + small-sample validation + diff/log review
output -> copyable result + checklist + next iteration
} McKinsey/BCG Style Visualization
Professional consulting-style data visualization and infographics creation skill for strategic analysis and executive presentations.
Overview
This skill enables the creation of high-density, professional consulting presentation slides and data visualizations in the style of top-tier strategy firms (McKinsey, BCG, Bain). The output combines institutional authority with editorial financial-report aesthetics, designed for boardroom-ready executive presentations.
When to Use This Skill
Use this skill when:
- Creating strategic analysis presentations for executive audiences
- Developing competitive benchmarking visualizations
- Building data-driven consulting deliverables
- Designing market analysis infographics
- Producing high-information-density business reports
- Visualizing complex strategic frameworks and comparisons
Do NOT use for:
- Marketing materials or promotional content
- Startup pitch decks with bright colors
- Decorative or artistic visualizations
- Low-information-density slides
Core Design Principles
1. Strategic Framing (Mandatory)
Every visualization must be hypothesis-driven, not descriptive.
Requirements:
- State a clear, insight-led headline that answers a strategic question directly
- Every section must drive toward a specific strategic implication
- Avoid neutral comparison — highlight structural trade-offs, capability gaps, competitive moats, and strategic asymmetries
- The visualization should implicitly support an executive-level decision (e.g., invest, partner, build, acquire, differentiate)
Bad Example: "Comparison of AI Video Models" Good Example: "Temporal Consistency Emerges as the Key Differentiator in GenAI Video — Seedance 2.0 Leads on Technical Benchmarks but Lags on Ecosystem Integration"
2. Visual & Design Standards
Aesthetic
- Tech-minimalist but information-heavy
- Clean, sharp, authoritative
- Institutional and boardroom-ready
- NOT startup-style or decorative
Typography
For Cover Slides:
- Main Title: Serif font (Times New Roman / Georgia / Playfair Display / Libre Baskerville)
- Size: Very large (48-72pt equivalent)
- Weight: Regular or Medium (not bold - maintains elegance)
- Color: White
#FFFFFF
- Subtitle: Sans-serif (Inter / Helvetica / Arial)
- Size: Medium (18-24pt equivalent)
- Weight: Light or Regular
- Color: Light Grey
#E5E7EB
- Metadata: Sans-serif (Inter / Helvetica / Arial)
- Size: Small (10-12pt equivalent)
- Weight: Light
- Color: Light Grey
#E5E7EB
For Content Slides:
- Headlines: Serif (Times New Roman / Georgia)
- Size: Large (24-36pt equivalent)
- Weight: Bold
- Color: Black
#000000
- Body Text: Sans-serif (Inter / Helvetica / Arial)
- Size: Medium (14-16pt equivalent)
- Weight: Regular
- Color: Dark Grey
#374151
- Data Labels: Sans-serif (Inter / Helvetica / Arial / Roboto)
- Size: Small-Medium (12-14pt equivalent)
- Weight: Medium or Semibold
- Color: Black
#000000or Deep Royal Blue#1E3A8A
- Emphasis: Bold for key numbers and strategic insights
Color Palette
For Content Slides (Data Visualizations):
- Background: Pure White
#FFFFFF - Primary Text: Sharp Black
#000000 - Primary Accent: Deep Royal Blue
#1E3A8A - Secondary Accent: Medium Blue
#2563EB - Grey Hierarchy:
- Dark Grey (primary text):
#374151 - Medium Grey (secondary text):
#6B7280 - Light Grey (borders/dividers):
#D1D5DB - Very Light Grey (subtle backgrounds):
#F3F4F6
- Dark Grey (primary text):
For Cover Slides:
- Background: Deep Navy Blue
#1E3A5F - Alternative Background: Gradient from
#1E3A5Fto#2C4A6F - Primary Text: Pure White
#FFFFFF - Secondary Text: Light Grey
#E5E7EB - Optional Accent: Subtle Gold
#D4AF37(for premium touch, use sparingly)
General Rules:
- NO gradients on content slides (only subtle gradients allowed on cover slides)
- NO bright startup colors (avoid neon, pastels, or vibrant hues)
Graphic Rules
- Hairline borders for tables (thin, precise lines)
- Precise vector lines for charts and frameworks
- NO decorative icons (use functional icons only when necessary)
- NO visual clutter (every element must serve a purpose)
3. Aspect Ratio Standards
CRITICAL: Always use landscape (horizontal) orientation for consistency.
Recommended aspect ratios:
- Landscape (16:9): Default for all visualizations — ensures consistency across slides
- Landscape (3:2): Alternative for wider layouts
Avoid:
- Portrait orientation (unless specifically requested)
- Square formats (unless for specific use cases like social media)
Rationale:
- Landscape orientation is standard for business presentations
- Maintains visual consistency when multiple charts are used together
- Optimized for screen sharing and projection
- Easier to read in document formats
Visualization Types & Use Cases
Type 1: Time-Series Growth Charts
Use when: Showing adoption rates, market growth, performance over time
Elements:
- Line chart or bar chart with clear time axis
- Large percentage numbers above data points
- Annotation box for key insights (e.g., "2x growth in 2 years")
- Clean gridlines every 10-20%
- Upward arrow for positive trends
Example: AI adoption rate from 38% (2023) to 72% (2025)
Type 2: Gap/Funnel Visualizations
Use when: Highlighting dramatic differences, maturity gaps, conversion funnels
Elements:
- Horizontal bars or funnel shape
- Extreme contrast in bar lengths to emphasize gap
- Large percentage labels
- Annotation explaining the implication (e.g., "Only 1 in 90 organizations...")
Example: 90% using AI vs. 1% with mature operations
Type 3: Before/After Comparisons
Use when: Demonstrating impact, ROI, performance improvement
Elements:
- Two vertical bars side by side
- Different colors (grey for "before", royal blue for "after")
- Curved arrow with improvement metric (e.g., "+28.8 points")
- Y-axis with clear scale
- Annotation box for context (e.g., "RCT study in Pakistan")
Example: Diagnostic accuracy 50% → 78.8% after 20-hour training
Type 4: Market Share / Adoption Rate
Use when: Showing percentage breakdowns, market penetration
Elements:
- Donut chart with center percentage
- Left side: chart; Right side: key statistics in large text
- Two-color scheme (primary + grey)
- Legend with color-coded boxes
Example: 77% of US medical schools adopted AI curriculum
Type 5: Investment / Scale Infographics
Use when: Comparing organizational investments, scale of operations
Elements:
- Horizontal layout with vertical divider
- Left section: Organization A with icon, large numbers, context
- Right section: Organization B with icon, large numbers, context
- Clean vector icons in royal blue
- Hairline divider between sections
Example: Kaiser Permanente (40 hospitals, 600+ facilities) vs. Mayo Clinic ($1B, 200+ projects)
Type 6: Timeline Visualizations
Use when: Showing chronological events, policy changes, milestones
Elements:
- Horizontal timeline with circular nodes
- Icons above each milestone
- Event labels above line, dates below line
- Connecting line in royal blue
- Clean sans-serif labels
Example: 2025 medical education AI integration (July AAMC → Fall Stanford → November AMA)
Type 7: Comparison / Contrast Diagrams
Use when: Highlighting differences between regions, organizations, or strategies
Elements:
- Split design with vertical divider
- Left side: data-rich with bullet points and icons
- Right side: sparse or question marks to emphasize gap
- High contrast between sections
- Clear header labels
Example: US/Global Leaders (72%, 77%, $1B+) vs. Japan (status unclear, unknown data)
Type 8: Strategic Frameworks
Use when: Positioning analysis, capability assessment, competitive mapping
Elements:
- 2×2 matrix with clearly labeled axes
- Positioning markers for each player
- Thin vector lines for grid
- Quadrant labels explaining strategic implications
Example: Market Share (x-axis) vs. Technical Capability (y-axis)
Type 9: Competitive Benchmarking Tables
Use when: Detailed multi-dimensional comparison across players
Elements:
- Multi-row, multi-column table
- Quantified metrics (numbers, percentages, scores)
- Clear ranking or benchmarking logic
- Hairline borders
- Numeric alignment and hierarchy
- Visual indicators for leaders/laggards (e.g., color coding)
Example: Comparison of GenAI video models across architecture, consistency, prompt adherence
Type 10: Waterfall Charts
Use when: Showing cumulative effect, step-by-step changes, variance analysis
Elements:
- Horizontal bars showing incremental changes
- Starting value → intermediate steps → ending value
- Color coding for positive (blue) and negative (grey/red) changes
- Connecting lines between bars
- Clear labels for each step
Example: Revenue bridge from Q1 to Q4 showing growth drivers
Type 11: Cover Slide
Use when: Creating the opening slide for a consulting presentation
Elements:
- Deep navy blue background (solid
#1E3A5For subtle gradient from#1E3A5Fto#2C4A6F) - Large serif font title in white (centered or left-aligned)
- Subtitle in smaller sans-serif font
- Optional metadata (date, author, organization) in small text at bottom
- Optional subtle gold accent (
#D4AF37) for premium touch - Minimal or no graphics — focus on typography
Example: "The Future of AI in Healthcare: Strategic Implications for 2026"
Prompt Engineering Templates
When generating visualizations using image generation tools, use these templates:
Template 1: Time-Series Growth Chart
Create a professional consulting-style time-series growth chart in landscape 16:9 format.
White background, black text, royal blue (#1E3A8A) line chart.
Serif headline in bold: "[Your Insight-Driven Headline]"
X-axis: [Time periods], Y-axis: [Metric with gridlines every 10-20%]
Large percentage labels above data points: [Data points]
Annotation box in top right: "[Key insight, e.g., '2x growth in 2 years']"
Clean, minimal, institutional aesthetic. No gradients, no decorative elements.
Template 2: Gap/Funnel Visualization
Create a professional consulting-style gap visualization in landscape 16:9 format.
White background, black text. Serif headline in bold: "[Your Insight-Driven Headline]"
Two horizontal bars:
- Top bar (royal blue #1E3A8A): [X%] - [Label]
- Bottom bar (light grey #D1D5DB): [Y%] - [Label]
Extreme contrast in bar lengths to emphasize gap.
Large percentage labels on right side of each bar.
Annotation below: "[Strategic implication]"
Clean, minimal, institutional aesthetic. No gradients, no decorative elements.
Template 3: Before/After Comparison
Create a professional consulting-style before/after comparison chart in landscape 16:9 format.
White background, black text. Serif headline in bold: "[Your Insight-Driven Headline]"
Two vertical bars side by side:
- Left bar (grey #6B7280): [Before value] - labeled "Before"
- Right bar (royal blue #1E3A8A): [After value] - labeled "After"
Curved arrow between bars with improvement metric: "+[X] points"
Y-axis with clear scale from 0 to [max value]
Annotation box: "[Context, e.g., 'RCT study in Pakistan']"
Clean, minimal, institutional aesthetic. No gradients, no decorative elements.
Template 4: Cover Slide
Create a professional consulting-style cover slide in landscape 16:9 format.
Deep navy blue background (#1E3A5F) with subtle gradient to (#2C4A6F).
Large serif font title in white (#FFFFFF), centered or left-aligned: "[Your Title]"
Subtitle in smaller sans-serif font, light grey (#E5E7EB): "[Your Subtitle]"
Optional metadata at bottom in small text: "[Date | Author | Organization]"
Optional subtle gold accent (#D4AF37) for premium touch (use sparingly).
Minimal or no graphics — focus on elegant typography.
Clean, institutional, boardroom-ready aesthetic.
General prompt engineering tips:
- Always specify "landscape 16:9 format" at the beginning
- Always specify "white background" for content slides, "deep navy blue background" for cover slides
- Always specify "serif headline in bold" for content slides
- Always include exact hex codes for colors
- Always emphasize "clean, minimal, institutional aesthetic"
- Always add "No gradients, no decorative elements" at the end for content slides
- Use specific data points and labels from your analysis
- Include strategic insight in the headline
Workflow
- Define the strategic question — What decision does this visualization support?
- Choose the visualization type — Select from the 11 types above
- Draft the insight-driven headline — Make it hypothesis-driven, not descriptive
- Gather and structure data — Organize data points, labels, and annotations
- Select the prompt template — Use the appropriate template from above
- Customize the prompt — Fill in your specific data, headline, and insights
- Generate the visualization — Use image generation tools with the customized prompt
- Review and refine — Check against the quality checklist below
Language Considerations
Default language: English
While this skill can be used in Japanese or other languages, English is strongly recommended for the following reasons:
- Font rendering: Image generation models handle English typography more reliably
- Consistency: Serif/sans-serif font pairing works better in English
- Readability: Latin characters render more clearly at small sizes
- International audience: English is standard for global business presentations
If Japanese is required:
- Use sans-serif fonts only (avoid serif for Japanese text)
- Increase font sizes for better readability
- Test rendering quality before finalizing
- Be prepared for potential issues:
- Font substitution
- Character spacing problems
- Inconsistent font rendering
Best practice: Use English for all text in visualizations, then provide Japanese translations in accompanying documents if needed.
Multi-Visualization Projects
When creating multiple visualizations for a single project:
- Maintain consistent aspect ratio — Use landscape for all charts
- Use the same color palette — Deep royal blue, greys, white, black
- Apply consistent typography — Serif for headlines, sans-serif for data
- Align visual density — Similar level of information across all charts
- Create a visual hierarchy — Most important insights first
Batch generation:
- Generate up to 5 images per batch using image generation tools
- Ensure all images in a batch use the same aspect ratio
- Review all images for consistency before delivering
Quality Checklist
Before delivering any visualization, verify:
- Aspect ratio: Landscape orientation used
- Color palette: White background, black text, royal blue accents, no gradients (for content slides)
- Typography: Serif headline, sans-serif data labels
- Data accuracy: All numbers, percentages, and labels are correct
- Strategic insight: Headline is insight-driven, not descriptive
- Visual clarity: No clutter, every element serves a purpose
- Annotations: Key insights and context provided
- Consistency: If multiple charts, all follow same design system
- Language: English used to avoid rendering issues (unless Japanese explicitly requested)
Common Pitfalls to Avoid
❌ Decorative over functional — Every element must serve a strategic purpose ❌ Bright, startup-style colors — Stick to institutional blue, grey, black, white ❌ Portrait orientation — Always use landscape for consistency ❌ Descriptive headlines — Use insight-driven, strategic headlines ❌ Low information density — Pack in data while maintaining clarity ❌ Marketing language — Use analytical, objective tone ❌ Inconsistent design — Maintain visual consistency across all charts
Example Use Cases
Use Case 1: Market Analysis
Scenario: Analyze GenAI video model market Visualizations needed:
- Competitive benchmarking table (architecture, consistency, prompt adherence)
- 2×2 positioning matrix (technical capability vs. market share)
- Timeline of product launches
- Investment comparison infographic
Use Case 2: Performance Reporting
Scenario: Show quarterly business performance Visualizations needed:
- Waterfall chart (revenue bridge)
- Before/after comparison (KPI improvements)
- Time-series growth chart (adoption metrics)
- Gap visualization (target vs. actual)
Use Case 3: Strategic Recommendation
Scenario: Support investment decision Visualizations needed:
- Comparison diagram (option A vs. option B)
- Strategic framework (capability assessment)
- Investment scale infographic
- Timeline of implementation milestones
Integration with Other Skills
This skill works well with:
- design-sensei: For additional design principles and accessibility
- paper-presentation-slides: For academic presentation context
- paper-article-generator: For article-embedded visualizations
Version History
- v1.1 (2026-02-11): Added Type 11 Cover Slide, detailed color palette with hex codes, enhanced typography specifications, and cover slide prompt templates
- v1.0 (2026-02-11): Initial skill creation with comprehensive visualization types, aspect ratio standards, and prompt engineering templates
References
- McKinsey & Company presentation style guidelines
- BCG visual identity and data visualization standards
- Financial Times editorial design principles
- Harvard Business Review chart design best practices
Skill Author: KEN
Last Updated: 2026-02-11
Skill Type: Visualization & Design
Decide Fit First
Design Intent
How To Use It
Boundaries And Review