Agent skill · Data & Analytics

data-scientist

Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill data-scientist-skill-404kidwiz-claude-supercode-ski-2 --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 14 KB
Bundled scripts: none
Path: skills/analysis/data-scientist-skill-404kidwiz-claude-supercode-ski-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

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

From the SKILL.md

# Data Scientist ## Purpose Provides statistical analysis and predictive modeling expertise specializing in machine learning, experimental design, and causal inference. Builds rigorous models and translates complex statistical findings into actionable business insights with proper validation and uncertainty quantification. ## When to Use - Performing exploratory data analysis (EDA) to find patterns and anomalies - Building predictive models (classification, regression, forecasting) - Designing and analyzing A/B tests or experiments - Conducting rigorous statistical hypothesis testing - Creating advanced visualizations and data narratives - Defining metrics and KPIs for business problems --- --- ## Core Capabilities ### Statistical Modeling - Building predictive models using regression, classification, and clustering - Implementing time series forecasting and causal inference - Designing and analyzing A/B tests and experiments - Performing feature engineering and selection ### Machine Learning - Training and evaluating supervised and unsupervised learning models - Implementing deep learning models for complex patterns - Performing hyperparameter tuning and model optimization - Valid

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Core Capabilities
  4. Statistical Modeling
  5. Machine Learning
  6. Data Exploration
  7. Communication and Storytelling
  8. 3. Core Workflows
  9. Workflow 1: Exploratory Data Analysis (EDA) & Cleaning
  10. Workflow 3: A/B Test Analysis
  11. Workflow 5: Causal Inference (Propensity Score Matching)
  12. 5. Anti-Patterns & Gotchas
  13. ❌ Anti-Pattern 1: Data Leakage
  14. ❌ Anti-Pattern 2: P-Hacking (Data Dredging)
Ships with 1 file
  • metadata.json
More from claude-skill-registry
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About this skill
What does the data-scientist skill do?

Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill data-scientist-skill-404kidwiz-claude-supercode-ski-2 --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 majiayu000/claude-skill-registry, a repository with 534 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.

Keep going