McKinsey Style-Abdelhamid

McKinsey-Style PPTX Generator — Claude Skill

Adapted by Abdelhamid Fahim (GCC Marketing Manager, Pharmalink | Dubai, UAE) from the open-source project seulee26/mckinsey-pptx by AX Labs (이승필) — MIT License © 2026 AX Labs.

What this skill does

Generates professional, consulting-grade .pptx files in McKinsey style using Python. Claude reads the user's request, picks the right slide template(s) from a catalog of 40, writes the Python builder code, runs it, and saves a .pptx file.

Trigger this skill when the user says anything like:

• "make me a McKinsey-style deck"
• "create a consulting presentation"
• "build a pitch deck / strategy deck / business review deck"
• "generate slides in BCG / McKinsey style"
• "turn my data into a professional PPT"
• Any request to produce a .pptx from bullet points, Excel data, or a text brief

Installation (one time)

pip install python-pptx pillow --break-system-packages
pip install git+https://github.com/seulee26/mckinsey-pptx.git --break-system-packages

Verify:

python -m mckinsey_pptx.cli --list-types

How to use this skill

Step 1 — Understand the request

Read the user's brief. Identify:

• Purpose: pitch deck, QBR, market analysis, strategy, project plan, etc.
• Audience: C-suite, board, investors, internal team
• Data provided: raw numbers, bullet points, Excel/CSV, free text
• Number of slides: if not specified, 6–10 is a good default

Step 2 — Select templates

Use the Template Catalog below to pick the right template for each slide. Apply the quick decision rules to avoid mistakes.

Step 3 — Write and run the builder code

from mckinsey_pptx import PresentationBuilder
import os

os.makedirs("output", exist_ok=True)
b = PresentationBuilder(default_section_marker="<section name>")

# Add slides using b.add("<template_name>", **kwargs)

b.save("output/deck.pptx")
print("Saved: output/deck.pptx")

Step 4 — Present the file

Tell the user the file path and offer to iterate.

Template Catalog (40 templates)

All templates accept these common optional kwargs: title, page_number, section_marker, source, footnote, theme

EXECUTIVE SUMMARY

executive_summary_paragraph

Flowing narrative of 2–4 paragraphs. Use for written reports.

b.add("executive_summary_paragraph",
      title="Executive summary",
      paragraphs=["Para 1...", "Para 2..."])

executive_summary_takeaways

2–4 bold takeaways, each with bullets. Most common McKinsey exec-summary pattern.

b.add("executive_summary_takeaways",
      sections=[{"takeaway": "Market growing 22% YoY",
                 "bullets": ["NA share rising", "Europe stagnating"]}],
      final_conclusion="Recommend immediate action on 5 areas.")

dark_navy_summary

Single impact statement, full-bleed deep navy. Section opener or "one thing" moment.

b.add("dark_navy_summary",
      body="[Bottom line]: The next 5 years will determine global leadership.",
      eyebrow="Strategy review")

CHARTS — TIME SERIES

column_simple_growth

One metric over 5–10 periods, single CAGR arrow.

b.add("column_simple_growth",
      categories=[2020,2021,2022,2023,2024],
      values=[100,115,120,135,150],
      growth_pct="10.7%")

column_split_growth

Two-phase growth with inflection point. Two growth arrows.

b.add("column_split_growth",
      categories=[2014,2015,2016,2017,2018,2019,2020,2021,2022],
      values=[1035,1050,1060,1075,1150,1200,1320,1430,1535],
      split_index=4, growth_pct_first="2%", growth_pct_second="8%")

column_historic_forecast

Actuals (navy) vs forecast (blue) with two growth arrows.

b.add("column_historic_forecast",
      categories=[2018,2019,2020,2021,2022,2023,2024,2025,2026],
      values=[1035,1108,1153,1148,1206,1265,1381,1430,1535],
      forecast_from_index=5,
      historic_growth="3%", forecast_growth="6%")

line_chart

1–4 lines over time. Multi-series KPI tracking.

b.add("line_chart",
      categories=["Jan","Feb","Mar","Apr","May","Jun"],
      series=[{"name":"NA","values":[100,108,115,118,124,130]},
              {"name":"EU","values":[80,82,85,88,92,98]}])

CHARTS — CATEGORICAL

column_comparison

Sorted bars high to low, one highlighted. Right-side takeaway pane.

b.add("column_comparison",
      categories=["A","B","C","D","E"], values=[670,623,580,514,421],
      focus_index=1, takeaways=["B is our focus segment"])

grouped_column_chart

2–4 series side by side per category.

b.add("grouped_column_chart",
      categories=["KSA","UAE","Kuwait","Qatar"],
      series=[{"name":"2023","values":[120,80,40,30]},
              {"name":"2024","values":[140,90,48,35]}])

stacked_column_chart

Composition over time — segments stacked per bar.

b.add("stacked_column_chart",
      categories=[2022,2023,2024,2025,2026],
      series=[{"name":"Hospital","values":[100,140,180,230,290]},
              {"name":"Retail","values":[80,100,130,160,200]}])

MATRIX / SCATTER

bubble_chart

5–15 entities on two continuous axes, bubble size = third dimension.

b.add("bubble_chart",
      bubbles=[{"label":"P1","x":200,"y":1500,"size":2,"group":"blue_dark"},
               {"label":"P2","x":350,"y":800,"size":4,"group":"navy"}])

bubble_chart_takeaways

Same as bubble_chart plus right-side bullet pane.

growth_share (alias bcg_matrix)

BCG matrix. Market share (x) x growth rate (y).

b.add("growth_share",
      bus=[{"name":"BU1","x":12,"y":37,"size":4},
           {"name":"BU2","x":55,"y":18,"size":6}])

prioritization_matrix

3x3 grid: time-to-impact x level-of-impact. Color-coded status per item.

b.add("prioritization_matrix",
      items=[{"name":"Initiative A","x_band":2,"y_band":0,"status":"green"},
             {"name":"Initiative B","x_band":1,"y_band":1,"status":"amber"}])

KPI / STATUS

kpi_dashboard

4–8 KPI tiles with big value, delta arrow, and context line.

b.add("kpi_dashboard",
      kpis=[{"label":"Revenue","value":"$1.2B","delta":"+12% YoY","delta_dir":"up"},
            {"label":"Margin","value":"18%","delta":"+200 bps","delta_dir":"up"},
            {"label":"NPS","value":"42","delta":"flat","delta_dir":"flat"}])

assessment_table

KPIs by category with target vs actual and green/amber/red status.

b.add("assessment_table",
      categories=[{"name":"GCC BU",
                   "rows":[{"kpi":"Market share","target":"15%","actual":"12%",
                             "status_label":"Behind","status":"red"}]}])

stat_hero (alias big_number)

Single huge statistic — the whole slide is one number.

b.add("stat_hero",
      stat="$3.2B", stat_label="GCC rare disease market by 2028",
      context="Based on IQVIA MENA 2024 projections.")

TRENDS / AREAS

three_trends_icons

Exactly 3 trends with circular icon and bullets.

b.add("three_trends_icons",
      trends=[{"label":"Market growth","icon":"📈","bullets":["22% CAGR"]},
              {"label":"Regulation","icon":"⚖","bullets":["SFDA","MOH"]},
              {"label":"Competition","icon":"🏁","bullets":["3 new entrants"]}])

three_trends_table

3 trends with name, description bullets, and examples column.

three_trends_numbered

3 trends as numbered rows with bright blue label pills.

five_key_areas

Exactly 5 strategic areas, each with name pill and one-line description.

b.add("five_key_areas",
      areas=[{"name":"KSA","description":"Largest GCC market, NUPCO tender opportunity"},
             {"name":"UAE","description":"Innovation hub, MOHAP early adoption"}])

overview_areas

5–7 column cards with header pill, letter badge (A–G), and bullets.

COMPARISON / OPTIONS

comparison_table (alias option_compare)

2–4 options x 3–6 criteria. Harvey ball ratings (0–4). Optional recommended column.

b.add("comparison_table",
      options=["Build","Buy","Partner"],
      criteria=[{"name":"Time to market","scores":[1,4,3]},
                {"name":"Capital","scores":[1,2,4]},
                {"name":"Strategic fit","scores":[4,2,3]}],
      recommended_index=2)

pros_cons

Green pros / red cons for ONE option.

b.add("pros_cons",
      pros=["First-mover advantage","Strong KOL support"],
      cons=["High COGS","Reimbursement uncertainty"])

two_column_compare (alias before_after)

Before/After or As-is/To-be with connecting arrow.

b.add("two_column_compare",
      left_label="Current state", right_label="Target state",
      left_items=["Single market focus","Reactive BD"],
      right_items=["Pan-GCC presence","Proactive in-licensing"])

ORG / TEAM

org_chart

Reporting structure: CEO to heads to reports.

project_team_circles

Leader plus N teammates as labeled circles with icons.

team_chart

Function columns x role rows (filled/outline circles).

TIMELINE / ROADMAP

phases_chevron_3

Exactly 3 phases as chevron arrows with deliverables and people.

phases_table_4

4 phases as parallel text columns.

waves_timeline_4

4 sequential waves on a horizontal arrow.

gantt_timeline

Multi-stream project plan across many weeks.

b.add("gantt_timeline",
      weeks=list(range(1,13)),
      workstreams=[
          {"name":"Registration","start_week":1,"end_week":6,"color":"blue_dark"},
          {"name":"KOL engagement","start_week":3,"end_week":10,"color":"blue_light"},
      ],
      milestones=[{"week":6,"label":"SFDA approval"}])

process_flow_horizontal (alias process_flow)

4–6 sequential steps as numbered chevron tiles.

b.add("process_flow_horizontal",
      steps=[{"name":"Discover","description":"Market & KOL research"},
             {"name":"Register","description":"SFDA/MOHAP dossier"},
             {"name":"Launch","description":"Go-to-market execution"},
             {"name":"Scale","description":"Tender & formulary listing"}])

funnel

TAM/SAM/SOM or conversion funnel.

b.add("funnel",
      stages=[{"name":"TAM","value":"$3.2B","description":"Total GCC pharma market"},
              {"name":"SAM","value":"$420M","description":"Specialty segment"},
              {"name":"SOM","value":"$45M","description":"Year 3 target"}])

HIERARCHY & IMPACT

issue_tree

Root issue to main drivers to secondaries to underlying causes.

quote_slide (alias quote)

Single expert or customer quote, large format.

b.add("quote_slide",
      quote="Rare disease patients in the GCC wait an average of 4 years for diagnosis.",
      author="Dr. Moeenaldeen AlSayed",
      author_title="Head of Metabolic Diseases, KFSH Riyadh")

STRUCTURAL SLIDES

cover_slide (alias cover)

First page. Title, subtitle, client, date, optional CONFIDENTIAL tag.

b.add("cover_slide",
      title="GCC Rare Disease Market Entry",
      subtitle="Strategic partnership proposal",
      client="Lucane Pharma", date="June 2026",
      confidentiality="CONFIDENTIAL")

section_divider

Chapter break with giant number and title.

b.add("section_divider", section_number="02",
      section_title="Market opportunity",
      subtitle="Size, growth, and unmet need")

agenda

Table of contents with optional active section highlight.

b.add("agenda",
      items=["Market context","Competitive landscape",
             "Strategic options","Recommendation","Next steps"],
      active_index=0)

Quick decision rules

Source & license

• Original project: seulee26/mckinsey-pptx
• Original author: AX Labs — Seungpil Lee — MIT © 2026
• SKILL.md adapted by: Abdelhamid Fahim
• Concept: Converting open-source tools into reusable Claude SKILL.md files