Brand DOCX
ferdinandobons/brand-docs
Brand-aware Word engine. An agent skill from ferdinandobons/brand-docs.
Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint).
Install Mckinsey Charts
$ npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sruthir28/enterprise-ai-skills mckinsey-charts --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/mckinsey-charts .claude/skills/mckinsey-charts && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mckinsey-charts" agent skill from https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-charts into .claude/skills/mckinsey-charts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mckinsey-charts", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-chartsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sruthir28/enterprise-ai-skills mckinsey-charts --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/mckinsey-charts .agents/skills/mckinsey-charts && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mckinsey-charts" agent skill from https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-charts into .agents/skills/mckinsey-charts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mckinsey-charts", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sruthir28/enterprise-ai-skills mckinsey-charts --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/mckinsey-charts .cursor/skills/mckinsey-charts && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mckinsey-charts" agent skill from https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-charts into .cursor/skills/mckinsey-charts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mckinsey-charts", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sruthir28/enterprise-ai-skills.git --path mckinsey-charts--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sruthir28/enterprise-ai-skills mckinsey-charts --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/mckinsey-charts .gemini/skills/mckinsey-charts && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mckinsey-charts" agent skill from https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-charts into .gemini/skills/mckinsey-charts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mckinsey-charts", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sruthir28/enterprise-ai-skills mckinsey-chartsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/mckinsey-charts .github/skills/mckinsey-charts && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mckinsey-charts" agent skill from https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-charts into .github/skills/mckinsey-charts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mckinsey-charts", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sruthir28/enterprise-ai-skills mckinsey-charts --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sruthir28/enterprise-ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/mckinsey-charts .opencode/skills/mckinsey-charts && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mckinsey-charts" agent skill from https://github.com/sruthir28/enterprise-ai-skills/tree/main/mckinsey-charts into .opencode/skills/mckinsey-charts/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mckinsey-charts", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
mckinsey-charts- GitHub stars
- 148
- Token cost
- ~999 tokens
- SKILL.md length
- 295 words
- Files
- 3
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint).
- You need a chart that looks like it came from an EM-reviewed deck
- SKILL.md covers The Three Charts, Design choices (intentional,…, How to use and Test it, plus 1 more section
- Runs Python scripts from its folder; calls python3
- Not from Excel defaults
What it does
Mckinsey Charts is an agent skill from sruthir28/enterprise-ai-skills. Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint). Three workhorse types — bar+callout for TAM/single-number stories, stacked column over time for revenue/usage mix, and waterfall for drivers/bridge analysis. Use when you need a chart that looks like it came from an EM-reviewed deck, not from Excel defaults.
Its SKILL.md is about 1000 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `charts.py` and `test_charts.py`).
It sits in Documents & Office, covering PowerPoint presentations and Excel spreadsheets. It works with Microsoft PowerPoint, python-pptx and Microsoft Excel. The repository describes itself as: Open-source AI skills for enterprise professionals. McKinsey consulting frameworks, PM workflows, and practical tools. Currently for Claude, expanding to other LLMs. The licence is MIT.
When your agent uses it
- You need a chart that looks like it came from an EM-reviewed deck
- Not from Excel defaults
Example prompts
- “/mckinsey-charts”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit ae8fe60. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships script files (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Mckinsey Charts loads about 999 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 295 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sruthir28/enterprise-ai-skills at commit ae8fe60, republished under its MIT licence (© sruthir28). 295 words, ~999 tokens.
Download SKILL.mdSave it as
.claude/skills/mckinsey-charts/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- mckinsey-charts
- description
- Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint). Three workhorse types — bar+callout for TAM/single-number stories, stacked column over time for revenue/usage mix, and waterfall for drivers/bridge analysis. Use when you need a chart that looks like it came from an EM-reviewed deck, not from Excel defaults.
McKinsey Charts
Drop-in chart builders for python-pptx. Charts are inserted as native PowerPoint chart objects — your audience can edit the data, change the colors, copy the chart to their own deck. No images, no screenshots.
The Three Charts
| Type | When to use | Example |
|---|---|---|
bar_callout | One number is the story. TAM, market size, headcount, anything where you want to anchor on a single highlighted bar with a big callout. | "RTD coffee TAM will hit $42.5B by 2028" |
stacked_bar_over_time | Composition over time. Revenue by segment, usage by feature, headcount by function. Shows both total growth and mix shift. | "Revenue grew 3x, but enterprise segment grew 7x" |
waterfall | Bridging two numbers. Revenue walk, cost walk, headcount changes, any "start → adds → subtracts → end" story. | "FY24 → FY25 revenue bridge: $80M → $112M" |
Design choices (intentional, not configurable)
- Title is a claim, not a label. "RTD market will hit $42.5B by 2028" beats "Market Size."
- One highlight color, everything else grey. McKinsey decks don't rainbow. The chart points at one thing.
- No gridlines, no chart border, no legend unless multi-series. Less ink → more signal.
- Source line at the bottom in light grey italic. Always include it.
- Single font (Inter) at consistent sizes. Title 20pt, axis 10pt, source 9pt.
How to use
from pptx import Presentation
from pptx.util import Inches
from charts import add_bar_callout, add_stacked_bar_over_time, add_waterfall, new_deck
prs = new_deck() # 16:9 with title slide layout
slide = prs.slides.add_slide(prs.slide_layouts[6]) # blank
add_bar_callout(
slide,
title="RTD coffee TAM will hit $42.5B by 2028",
categories=["2023", "2024", "2025", "2026", "2027", "2028"],
values=[28.1, 30.8, 33.6, 36.5, 39.4, 42.5],
highlight_index=5, # which bar to highlight (last one here)
callout="$42.5B\n2028 TAM",
y_label="USD, billions",
source="Euromonitor 2025; Mintel; team analysis",
)
prs.save("output.pptx")Same pattern for the other two:
add_stacked_bar_over_time(
slide,
title="Enterprise segment now drives 62% of revenue, up from 18% in 2021",
categories=["2021", "2022", "2023", "2024", "2025"],
series=[
("SMB", [12, 14, 15, 16, 18]),
("Mid-market", [8, 12, 16, 22, 28]),
("Enterprise", [4, 10, 22, 38, 74]),
],
highlight_series="Enterprise",
y_label="Revenue, $M",
source="Internal financials; FY21–FY25",
)
add_waterfall(
slide,
title="FY24 → FY25 revenue bridge: $80M → $112M, with new logos doing the heavy lifting",
labels=["FY24", "New logos", "Expansion", "Churn", "Price", "FY25"],
values=[80.0, 24.0, 12.0, -8.0, 4.0, 112.0],
kinds=["start", "pos", "pos", "neg", "pos", "total"],
y_label="Revenue, $M",
source="Internal financials; FY24–FY25",
)Test it
python3 test_charts.py
open test_output.pptxThe test script generates one slide per chart type with realistic sample data. Open it in PowerPoint or Keynote and right-click any chart → "Edit Data" to confirm it's a native chart, not an image.
When NOT to use this skill
- You need a distribution (use a histogram or box plot — not a McKinsey staple).
- You need a scatter / quadrant (the 2x2 / portfolio map is a different skill).
- You're showing >5 series stacked (split into small multiples instead — one chart can't carry that load).
© sruthir28, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in mckinsey-charts of sruthir28/enterprise-ai-skills.
- SKILL.md
- charts.py
- test_charts.py
Open the folder on GitHubat commit ae8fe60
Compare with similar skills
Mckinsey Charts next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Mckinsey Charts this skillsruthir28/enterprise-ai-skills | 148 | — | ~999 | Automated safety check: Pass | MIT | |
| Brand DOCXferdinandobons/brand-docs | 272 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Brand PPTXferdinandobons/brand-docs | 272 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Brand XLSXferdinandobons/brand-docs | 272 | — | ~3.3k | Automated safety check: Pass | MIT | |
| Kb Office RemediationCommunity-Access/accessibility-agents | 423 | — | ~2k | Automated safety check: Pass | MIT | |
| Office RemediatorCommunity-Access/accessibility-agents | 423 | — | ~1k | Automated safety check: Pass | MIT |
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Categories
Questions about Mckinsey Charts
What does Mckinsey Charts do?
Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint). Mckinsey Charts is an agent skill from sruthir28/enterprise-ai-skills. Generate McKinsey-style consulting charts as native python-pptx objects (editable inside PowerPoint).
When should I use Mckinsey Charts?
Mckinsey Charts fits situations like: you need a chart that looks like it came from an EM-reviewed deck; not from Excel defaults.
How do I install Mckinsey Charts in Claude Code?
Run `npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a claude-code`. Or copy the skill folder (mckinsey-charts in sruthir28/enterprise-ai-skills) into .claude/skills/mckinsey-charts in your project. Claude Code loads it when a task matches its description.
How do I install Mckinsey Charts in Codex?
Run `npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a codex`. Or copy the skill folder (mckinsey-charts in sruthir28/enterprise-ai-skills) into .agents/skills/mckinsey-charts in your project. Codex loads it when a task matches its description.
Can I use Mckinsey Charts in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sruthir28/enterprise-ai-skills --skill mckinsey-charts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mckinsey-charts, .gemini/skills/mckinsey-charts, .github/skills/mckinsey-charts and .opencode/skills/mckinsey-charts in your project.
What does Mckinsey Charts need to run?
Going by SKILL.md and its folder, Mckinsey Charts needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Mckinsey Charts access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Mckinsey Charts safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Mckinsey Charts use?
Mckinsey Charts is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Mckinsey Charts use?
About 999 tokens (SKILL.md is roughly 4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Mckinsey Charts?
Skills that share tags, products or a category with Mckinsey Charts: Brand DOCX (ferdinandobons/brand-docs, 272 stars), Brand PPTX (ferdinandobons/brand-docs, 272 stars), Brand XLSX (ferdinandobons/brand-docs, 272 stars) and Kb Office Remediation (Community-Access/accessibility-agents, 423 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Mckinsey Charts?
sruthir28 (a GitHub user) maintains it in sruthir28/enterprise-ai-skills, which has 148 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 1, 2026.
Source: sruthir28/enterprise-ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.