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Strategy Consulting Visualization

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kgraph57
strategy-consulting-visualization

Use when turning content into clear strategy-consulting visualizations, including board slides, reports, diagrams, quiet animated decks, or explicit dynamic and interactive decks with clickable evidence, scenario controls, what-if sliders, and deterministic presenter demos.

Overview

Publisherkgraph57
Repositorymckinsey-style-visualization-skill
Skill namestrategy-consulting-visualization
Stars
158
Forks
21
Bundled files
492
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 492 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by kgraph57 on GitHub. Read the source before you install it.

Installation

Install the Strategy Consulting Visualization AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/kgraph57/mckinsey-style-visualization-skill/tree/main
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/kgraph57/mckinsey-style-visualization-skill.git \
  .claude/skills/strategy-consulting-visualization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Strategy Consulting Visualization in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Strategy Consulting Visualization on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Strategy Consulting Visualization is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Strategy Consulting Visualization

Purpose

Use this skill to turn any content into professional visualization specs with strategy-consulting clarity: insight-led headlines, disciplined layout, accurate data, restrained design, and explicit implications. It covers board slides first, and generalizes to reports, proposals, training materials, technical diagrams, infographics, and any input that benefits from visual structure.

Fast Path

Skip the pattern-by-pattern build when the user just wants a complete, real deck or document immediately.

Full deck — scaffold a ready-made archetype from templates/decks/, then fill in the illustrative placeholders with real data:

bash
python3 scripts/scaffold_deck.py --list                       # 6 archetypes with slide counts
python3 scripts/scaffold_deck.py board-update -o my-deck       # copies deck.json + specs/
# edit my-deck/specs/*.json with real data, keeping the pattern shapes intact
python3 scripts/build_html_deck.py --manifest my-deck/deck.json -o my-deck/deck.html

Click-through motion presentation — when the reader should enter a page from an overview, press the exhibit or its main number for supporting detail, and verify the claim through an operation, use the story-led presentation route. This is the preferred route for a reference-led request for うちた-style 動く資料 or クリックで深掘り. Read references/motion-story.md and author a small motion.json; the six-page Japanese example demonstrates the components:

bash
python3 scripts/build_motion_deck.py --manifest examples/interactive-deck/motion.json -o deck.motion.html
python3 scripts/build_motion_deck.py --manifest examples/interactive-deck/motion.json --static -o deck.motion.static.html

The opening is a navigable argument, followed by evidence-led pages with one primary operation each. Exhibits and prominent numbers open a source-bearing drawer; classification sorts, comparison retains the prior shape, a slider recalculates the displayed formula, actions fill a gap, and a timeline advances through real decisions. Review the entire flow and run the visible cursor demo through its ending in the page overview. A single redesigned comparison page does not satisfy a request for this whole-deck experience.

Contract-backed interactive companion — “animated” alone keeps the classic quiet- reveal path above. An explicit request for an interactive/dynamic deck, 動く・ 動的スライド, clickable evidence, what-if recalculation, a slider, drill-down, or auto-demo builds the classic artifact first and then a companion from the same manifest:

bash
python3 scripts/build_html_deck.py --manifest my-deck/deck.json -o my-deck/deck.html
python3 scripts/build_interactive_deck.py --manifest my-deck/deck.json -o my-deck/deck.interactive.html

Before adding a scene, use references/interaction-selection.md. Author the closed scene contract with references/interactive-scene-schema.md, review references/interactive-accessibility.md, and hand off with references/presenter-operation.md. Always report both paths. The interactive artifact never replaces the static/print baseline.

Document — write Markdown (with spec:/svg: exhibit references where a chart belongs) and build it straight to a browser-ready, print-to-A4 HTML report:

bash
python3 scripts/build_html_report.py my-report.md -o my-report.html --lang en

templates/reports/ has three starting points (board pre-read, one-pager, proposal memo).

Speaker script — the podium version of any deck: add a top-level "notes" field (a string, or a list of paragraph strings) to the slides that need narration, then build a print-first, one-slide-per-page HTML script with the narration set below each slide. The renderer ignores notes entirely, so adding it never changes the rendered slide, and a slide with no notes still gets its own page with a muted "no script" marker.

bash
python3 scripts/build_speaker_script.py --manifest my-deck/deck.json -o my-deck/script.html --lang en

Deck as an article — the same deck read top-to-bottom on a single 680px reading column instead of click-through slides or a side-nav document: a paper-first hero (kicker/lead from the manifest's optional series/lead keys), then each slide's SVG followed by its notes as reading prose, with optional per-slide label/refs fields adding a section tag and a "Links" aside that rolls up into an end-of-article links section.

bash
python3 scripts/build_html_article.py --manifest my-deck/deck.json -o my-deck/article.html --lang en

All classic fast paths and the optional interactive companion still obey the style system and quality rubric below — they only skip writing specs from a blank page. Fall back to the full workflow for anything the templates don't already cover.

Use When

  • The user needs a board slide, executive memo visual, market map, competitor benchmark, investment view, performance bridge, or strategic timeline.
  • The user needs visuals for any other document: internal reports, research summaries, sales proposals, project status updates, training or education materials, technical documentation, one-pagers, infographics, or study notes.
  • The user has raw data, prose, notes, a process description, or a question and needs a visual direction — even if they only say "visualize this".
  • The user asks for McKinsey-style, BCG-style, Bain-style, consulting-style, boardroom-ready, executive-ready, or strategy-deck visuals.
  • The output should feel like a top-tier professional deliverable without implying affiliation with any consulting firm.

Do Not Use When

  • The user wants decorative art with no informational content, brand campaigns, or low-density inspirational visuals.
  • The user needs regulated financial, medical, or legal conclusions without source verification.
  • The user asks for a final rendered chart but has not provided enough data to check labels, scales, and claims.

Workflow

  1. Identify the decision, question, or job the visual should support for its reader.
  2. If the input is not an obvious chart request, triage it with references/input-triage.md to map any input type to a pattern family.
  3. Pick the document profile from references/document-type-profiles.md to set canvas, density, and tone.
  4. Convert the request into an insight-led headline that answers the reader's question. The headline must be a single proposition — one answer or one tension, never several claims joined by "and". For an explicit interactive request, write the title-only storyboard first and add Evidence, Main interaction, May change, and Must not change. Reject any interaction that does not improve verification, insight, action, a decision, or evidence retrieval. See references/interaction-selection.md.
  5. Select the visualization pattern from references/visualization-patterns.md, starting from the comparison-type gate at the top of that file. Structural patterns (section_divider, agenda, bullet_list, closing, quote, end_cover, cover) are deck furniture, not the argument — use them for connective tissue between slides (opening, orienting, transitioning, closing) and spend the insight-headline discipline on the content slides they connect.
  6. Apply the visual system in references/style-system.md, using the canvas from the document profile. Write copy to its Word Budget: when text does not fit, cut words or split the slide — never shrink type.
  7. Produce a structured spec, diagram-as-code source, or image-generation prompt using references/prompt-templates.md. When the environment allows running scripts, render supported patterns to SVG with python3 scripts/render_slide_spec.py <spec.json>. Twenty-two patterns render (cover, section_divider, end_cover, agenda, bullet_list, closing, quote, waterfall, gap, before_after, time_series, benchmark_table, summary_strip, process_flow, funnel, heatmap, gantt, kpi_scorecard, two_by_two, scatter, distribution, small_multiples), on a 16:9 canvas only; every other pattern and canvas is spec-only. cover, section_divider, and end_cover are full-bleed navy and skip the header/footer chrome; every other renderable pattern uses the standard white content chrome. Tell the user which they are getting — never imply a spec-only pattern will render. Spec examples are in examples/render-specs/.
  8. Score the output against references/quality-rubric.md. For decks, also run its deck-level headline check. Inspect every rendered page at intended viewing size. A test pass or contact sheet alone is not completion. Numerical assertions need proportional visual evidence: bars for magnitude, a full model line and gate for a threshold, and contributions or a counterfactual for an additive score. Do not substitute a list of numbers, equal-width bands, or an isolated dot for that proof. For an interactive companion, validate the scene, inspect live and declared static states, run the author audit, and keep every unperformed manual/physical check explicit. See references/interactive-accessibility.md and references/presenter-operation.md.
  9. Flag missing data, unverifiable claims, source-sensitive assumptions, or trademark-sensitive wording.
  10. For public, high-stakes, cross-functional, or broad-audience work, run references/expert-review-loop.md to remove blind spots, overclaims, jargon, accessibility issues, and cultural assumptions.
  11. For polished executive work, run the draft through references/iterative-review-loop.md until the output reaches the stopping criteria.

Output Contract

Return a concise deliverable with:

  • Strategic question (or the reader's key question for non-strategy documents)
  • Insight headline
  • Recommended visualization
  • Slide spec (or figure, page, or diagram spec matching the document profile)
  • Data and assumptions
  • Quality check
  • Expert review notes when the output is public, high-stakes, cross-functional, or broad-audience

When the user requests a batch, deck, or multi-figure document, repeat the contract per visual and add a brief flow summary explaining how the visuals build the argument.

Reference-led reproduction

When the user requests a particular firm's style or supplies a reference, read references/reference-reproduction.md before selecting a theme. Consult references/consulting-reference-evidence.json and inspect the specific source page. Record geometry, hierarchy, chart encoding, notes and deviations. Choose presentation, analytical pre-read, or reading document explicitly. Do not claim exact fidelity from a colour preset alone. The worked examples are in templates/reference-layouts/.

Default Visual Standards

  • For business presentation requests, prefer "theme": "executive" consistently across the deck: sans-serif headlines, neutral comparison marks, and navy for the main outcome. In a metric-led summary, use focus_block only for the single decision-critical column. For diagrams, keep executive process flows to five steps with optional owner/duration fields and priority matrices to six numbered options; split denser content across slides. See references/style-system.md for the supported options; retain classic when the user requests serif styling.

  • Slides render to 16:9. Supported chart/diagram patterns also render compact document exhibits with --exhibit; arbitrary canvases remain spec-only. HTML reports support A4 briefing/editorial layouts with editable captions and sources. Optional scripts/build_briefing_docx.cjs creates editable A4 Word briefs and requires Node packages docx and sharp.

  • White content slides with black text, a single navy accent (#15296B), and grey hierarchy.

  • Navy full-bleed slides only when opening a deck (cover), opening a section (section_divider), or closing a deck (end_cover) — never for a content slide.

  • Classic uses serif headlines; executive and analytical content use sans-serif headlines. A reference-led request takes precedence over these defaults.

  • High information density with clear hierarchy; no decorative clutter.

  • All numbers must be visible, consistently formatted, and tied to the user's data or cited assumptions.

  • Keep action titles self-contained; omit subtitles that merely restate the title. Preserve the fixed title baseline and a clear gap before the exhibit.

  • Presentation body copy uses 26px and primary exhibit labels 22px on the 1280 × 720 canvas. Reduce content or split the page before reducing these sizes.

  • Interactive desktop slides are one composition: exhibit, inputs and decision visible together at 1280 × 720 and 1440 × 900. Hide redundant semantic copies visually while retaining accessible equivalents. Narrow screens reflow; never shrink the entire interface into unreadable text.

  • Choose control placement for the argument, not a fixed dashboard template. For a small scenario comparison, retain the reference state beside the changing state and place the selector near the comparison. A rank bridge encodes ordinal position; label the scores directly rather than implying its slope measures score change. Emphasize the decision-changing item and keep supporting actions visually secondary.

  • Check the decision sequence across the deck. A gated action cannot precede its review, and “approve today” must not conflict with a later conditional decision.

Marketplace Safety

This skill is not affiliated with, endorsed by, or sponsored by McKinsey & Company, Boston Consulting Group, Bain & Company, or any other consulting firm. Use category language such as "strategy consulting visualization" in user-facing outputs unless the user specifically asks for comparative style references.

Do not invent client names, confidential labels, benchmark data, or source citations. If a visual depends on uncertain or missing data, mark the assumption explicitly in Data and assumptions.

Reference Files

  • references/motion-story.md for the story-led motion presentation builder, six component contracts, whole-deck navigation and direct evidence access.

  • references/consulting-design-study.md for the six-firm page-level design study.

  • references/reference-reproduction.md for measured reproduction, supported routes and fidelity review.

  • references/persona-playbook.md for role-based entry points (sales, marketing, product, PMO, HR, engineering, research, finance, executive) with prompts and example specs.

  • references/input-triage.md for mapping any input — numbers, prose, processes, ideas — to a pattern family.

  • references/document-type-profiles.md for adapting format, density, and tone to slides, reports, proposals, training materials, technical docs, and infographics.

  • references/visualization-patterns.md for pattern selection and use cases.

  • references/style-system.md for palette, typography, spacing, and layout rules.

  • references/prompt-templates.md for slide specs and image-generation prompts.

  • references/quality-rubric.md for final scoring and marketplace-quality checks.

  • references/expert-review-loop.md for challenging assumptions, overclaims, accessibility, localization, and audience-fit risks.

  • references/public-reference-corpus.md for public executive-report sources to study without copying.

  • references/iterative-review-loop.md for draft, review, revise, and score cycles.

  • references/interaction-selection.md for the classic/animated/interactive routing boundary and the static-first deletion gate.

  • references/interactive-scene-schema.md for the six scenes, model/control/view matrix, exact values, lineage, and build commands.

  • references/interactive-accessibility.md for semantic, focus, compact, print, automated, and manual review obligations.

  • references/presenter-operation.md for live controls, demo, safe links, offline use, printing, and the physical-device checklist.

  • templates/decks/ and scripts/scaffold_deck.py for ready-made deck archetypes (--list to see all six).

  • templates/reports/ and scripts/build_html_report.py for Markdown-to-report documents with numbered exhibits.

  • scripts/build_speaker_script.py for a print-first, one-slide-per-page podium script built from a deck's notes field.

  • scripts/build_html_article.py for reading the same deck top-to-bottom as a single web-page article, slide by slide with its notes as prose.

HTML to PDF

Use JSON for charts and Markdown for the narrative. Generate HTML, review it in the browser, and export that same HTML to PDF. HTML is the primary layout artifact; Word is an optional separate export. Reports use A4 print styles; decks use one 16:9 slide per page.

bash
python3 -m pip install playwright
python3 scripts/build_html_report.py templates/reference-layouts/decision-brief.md -o brief.html
python3 scripts/export_pdf.py brief.html -o brief.pdf
python3 scripts/export_pdf.py examples/demo-deck.html -o deck.pdf

PDF export requires installed Google Chrome or Chromium (--browser /path/to/browser for a custom executable). SVG and HTML generation remain Python-standard-library only. Alternatively, open the generated HTML, choose Save as PDF, and select the browser’s PDF destination. Inspect every page after changing content; longer reports may need deliberate page breaks.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 140 more files.

Frequently asked questions

What does the Strategy Consulting Visualization AI skill do?

Use when turning content into clear strategy-consulting visualizations, including board slides, reports, diagrams, quiet animated decks, or explicit dynamic and interactive decks with clickable evidence, scenario controls, what-if sliders, and deterministic presenter demos.

Why use Strategy Consulting Visualization on TypingMind?

Because you install it once and use it with any model. Strategy Consulting Visualization is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Strategy Consulting Visualization in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kgraph57/mckinsey-style-visualization-skill/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Strategy Consulting Visualization?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Strategy Consulting Visualization?

As many as you like. As long as a model supports skills, you can use Strategy Consulting Visualization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Strategy Consulting Visualization AI skill free?

Yes. It is published on GitHub by kgraph57 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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