# McKinsey Style-Abdelhamid > Generates professional consulting-grade .pptx files in McKinsey style using Python. Picks from 40 slide templates (charts, matrices, timelines, KPI dashboards, exec summaries) based on the user's brief. Use when asked to create a pitch deck, strategy presentation, business review, or any consulting-style PowerPoint. - Skill: `abomalek1986/mckinsey-style-abdelhamid` (Agent Skill) - Install (CLI): `npx skillmds@latest add abomalek1986/mckinsey-style-abdelhamid` - Raw SKILL.md: https://api.skillmd.com/api/skills/abomalek1986/mckinsey-style-abdelhamid/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Docs & Writing - License: MIT - Author: AboMalek1986 (https://skillmd.com/u/abomalek1986) - Updated: 2026-09-22 - Page: https://skillmd.com/skills/abomalek1986/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`](https://github.com/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) ```bash pip install python-pptx pillow --break-system-packages pip install git+https://github.com/seulee26/mckinsey-pptx.git --break-system-packages ``` Verify: ```bash 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 ```python from mckinsey_pptx import PresentationBuilder import os os.makedirs("output", exist_ok=True) b = PresentationBuilder(default_section_marker="
") # Add slides using b.add("", **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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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). ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python 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. ```python b.add("agenda", items=["Market context","Competitive landscape", "Strategic options","Recommendation","Next steps"], active_index=0) ``` --- ## Quick decision rules | Situation | Template | |-----------|----------| | Single bold statement | `dark_navy_summary` | | Structured takeaways with bullets | `executive_summary_takeaways` | | Narrative paragraphs | `executive_summary_paragraph` | | One huge number | `stat_hero` | | 4-8 KPI tiles | `kpi_dashboard` | | KPIs with target/actual/RAG | `assessment_table` | | Time series, one growth rate | `column_simple_growth` | | Time series, two phases | `column_split_growth` | | Actuals + forecast | `column_historic_forecast` | | Multi-series over time | `line_chart` | | Sorted bars, one focus | `column_comparison` | | Year-over-year by country | `grouped_column_chart` | | Parts of whole over time | `stacked_column_chart` | | 2D scatter with bubble size | `bubble_chart` | | BCG market share x growth | `growth_share` | | Impact x urgency 3x3 | `prioritization_matrix` | | 3 themes with icons | `three_trends_icons` | | 5 strategic areas | `five_key_areas` | | 5-7 area cards | `overview_areas` | | 2-4 options, Harvey balls | `comparison_table` | | One option pros/cons | `pros_cons` | | Before / After | `two_column_compare` | | Reporting org | `org_chart` | | 3 phases | `phases_chevron_3` | | 4 phases | `phases_table_4` | | 10+ week project plan | `gantt_timeline` | | TAM/SAM/SOM funnel | `funnel` | | Issue decomposition | `issue_tree` | | Expert quote | `quote_slide` | | First slide | `cover_slide` | | Chapter break | `section_divider` | | Table of contents | `agenda` | --- ## Source & license - **Original project:** [seulee26/mckinsey-pptx](https://github.com/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