Agent skill · Data & Analytics

statistics-math

Statistics, probability, linear algebra, and mathematical foundations for data science

foryourhealth111-pixelgithub.com/foryourhealth111-pixelGitHub ↗
claude-codecodexships scriptsApache-2.0
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill statistics-math --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 8 KB
Bundled scripts: yes
Path: bundled/skills/statistics-math/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,593
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Statistics & Mathematics Mathematical foundations for data science, machine learning, and statistical analysis. ## Quick Start ```python import numpy as np import scipy.stats as stats from sklearn.linear_model import LinearRegression # Descriptive Statistics data = np.array([23, 45, 67, 32, 45, 67, 89, 12, 34, 56]) print(f"Mean: {np.mean(data):.2f}") print(f"Median: {np.median(data):.2f}") print

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About this skill
What does the statistics-math skill do?

Statistics, probability, linear algebra, and mathematical foundations for data science

How do I install it?

Run `npx skills add foryourhealth111-pixel/Vibe-Skills --skill statistics-math --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From foryourhealth111-pixel/Vibe-Skills, a repository with 2,593 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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