mckinsey-deck

mckinsey-deck is a skill for Claude Code from norahe0304-art/30x-mckinsey-research-deck. It costs 119 tokens per session (1,604 once invoked), scanned A, original, MIT.

A workflow for turning supplied content into a polished 1280×720 presentation in HTML, with a PDF version that prints one slide per page. The visual style is modeled on McKinsey-style business presentations.

In plain words
What is it for?
Creating executive, board, investor, research, or other business slide decks from notes or structured content.
Why use it?
It provides one shared rendering engine and a review process for checking the presentation on screen and in print.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Creating executive, board, investor, research, or other business slide decks from notes or structured content.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add norahe0304-art/30x-mckinsey-research-deck --skill mckinsey-deck
Clone the repo
git clone --depth 1 https://github.com/norahe0304-art/30x-mckinsey-research-deck

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mckinsey-deck

README.md
[![agentmods](https://agentmods.dev/badge/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck/github.svg)](https://agentmods.dev/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck)
Your own site
<a href="https://agentmods.dev/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mckinsey-deck

Your own site · 80×15
<a href="https://agentmods.dev/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck"><img src="https://agentmods.dev/badge/skills/norahe0304-art/30x-mckinsey-research-deck/mckinsey-deck.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,604 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00119 $0.01604
Opus 5 $0.00060 $0.00802
Sonnet 5 $0.00024 $0.00321
Haiku 4.5 $0.00012 $0.00160

Measured 12d ago against content hash d9f4fda71024, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mckinsey-deck scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (assets/deck_engine.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/mckinsey-deck/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

McKinsey-Style Deck (the style + engine skill)

Build a research-grade-looking, page-turning deck from content the user gives you. Reviewed on screen as an HTML presentation; shared as a print-clean PDF. The whole engine is one file — assets/deck_engine.py — copy it into the project and compose build().

This skill owns the canonical engine. mckinsey-market-research-deck (and any future deck skill) consumes assets/deck_engine.py from HERE — engine fixes land in this file only, never in a project-local or sibling-skill fork. One engine, zero drift.

How to use

  1. Copy assets/deck_engine.py into the working dir. Set BRAND (the footer line) and OUT_HTML.
  2. Compose the deck inside build() using the renderers (below). Feed them the user's content directly, or load from a JSON if the content is structured.
  3. Render + export:
    python3 deck_engine.py
    "/Applications/Google Chrome.app/Contents/MacOS/Google Chrome" --headless --disable-gpu \
      --no-pdf-header-footer --print-to-pdf="Deck.pdf" "Deck.html"
    
    (Windows/Linux: swap the Chrome path for chrome/google-chrome.)
  4. QC (below), fix, re-render, then deliver.

Renderers (all in deck_engine.py)

  • cover(title_html, subtitle) — navy hero (uses product-images/cover-hero.png if present), title + one subtitle.
  • answer_slide(title, deck, governing, pillars, src) — the executive-summary page (Pyramid Principle: answer first). One-sentence governing thought + 3–4 pillar conclusions, each optionally with a serif key stat. Place right after the cover; reading only the headlines from here to the end must form one persuasive essay (horizontal logic).
  • divider(no, title, points) — full-navy section break; big sky-blue number; optional duotone image (divider-<no>.png).
  • heroes([(num, label), ...]) — 4-up serif stat strip.
  • prose_slide(title, deck, themes, src, cols=2, note=None) — "bold theme + paragraph" blocks (the McKinsey prose page). themes=[(heading, paragraph_html), ...].
  • essay_slide(title, deck, lead, paras, src, side=None) — flowing two-column prose + optional side rail.
  • table_slide(title, deck, columns, rows, src, note=None, fill=True, bold_keys=(), extra=None) — navy-header table, uniform row heights (header 34px / rows 52px, never stretched); bold_keys highlights total rows; extra= takes a content block (e.g. heroes([...])) to fill a sparse page by composition.
  • decision_slide(page, src) — renders a structured exhibit (buildup/breakdown/scenarios + assumptions + READ).
  • donut_block(...), bars_chart(...), heatmap_block(...) — titled chart blocks for a page's side rail (charts ride beside their analysis; never alone on a page); charts_slide(...) for the rare full-canvas exhibit. Low-level: donut_svg(...), heatmap hcell(...).
  • sources_register(url_set, selected_rows, src) — the numbered, clickable source appendix.
  • render(slides) — assembles the page-turning HTML and prints the div-balance check.

Read the full file on GitHub · 92 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 92 lines · 119 tokens per session scan A d9f4fda71024

Subscribe to this mod's changes

mckinsey-deck is a skill published in the GitHub repository norahe0304-art/30x-mckinsey-research-deck (39 stars, last pushed 2mo ago), licensed MIT. It adds 119 tokens to every session and 1,604 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

strategy-consulting-visualization

Use when turning any content into clear, professional visualizations - board slides, reports, proposals, research summaries, training materials, technical diagrams, infographics, process flows, timelines, benchmarks, waterfall charts, or data-backed visual specs for any audience.

kgraph57/mckinsey-style-visualization-skill · 58 tokens

flight-check

Final-pass quality review for near-finished slide decks before they are sent or presented. Use when the user shares a PowerPoint, PDF, slide screenshots, or pasted slide text and asks for a review, final pass, sanity check, readiness check, polish check, source check, citation check, AI-tell check, or asks whether the…

analystacademy/flight-check · 96 tokens

baoyu-youtube-transcript

A tool for downloading the written captions, subtitles, chapter information, speaker labels, and cover image from a YouTube video using its URL or ID.

JimLiu/baoyu-skills · 107 tokens

html-ppt-zhangzara-soft-editorial

A digital-transformation roadmap for a legacy insurer — the diagnosis, the sequenced bets, and the operating rhythm to land them. Built as a decision-grade consulting deck for client executives.

nexu-io/open-design · 49 tokens

pydicom

Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.

K-Dense-AI/scientific-agent-skills · 56 tokens

treatment-plans

Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and…

K-Dense-AI/scientific-agent-skills · 62 tokens