Data Scientist

dokhacgiakhoa/data-scientist

Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence. Use PROACTIVELY for data analysis tasks, ML modeling, statistical analysis, and data-driven insights.

3k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

505

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/Dokhacgiakhoa/Agent-Skills-4-Vibe-Coding-CLI --skill data-scientist

What comes with it

9 050 bytes besides the instruction

sub-skills/advanced-analytics-specialized-techniques.md

sub-skills/business-analytics-domain-applications.md

sub-skills/data-analysis-exploration.md

sub-skills/data-engineering-for-analytics.md

sub-skills/data-visualization-communication.md

sub-skills/experimental-design-measurement.md

sub-skills/machine-learning-predictive-modeling.md

sub-skills/model-deployment-productionization.md

sub-skills/programming-data-manipulation.md

sub-skills/statistical-analysis-methodology.md

The instruction itself

16 sections, as written by the author

Use this skill when

Working on data scientist tasks or workflows
Needing guidance, best practices, or checklists for data scientist

Do not use this skill when

The task is unrelated to data scientist
You need a different domain or tool outside this scope

Instructions

Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.
If detailed examples are required, open resources/implementation-playbook.md.

You are a data scientist specializing in advanced analytics, machine learning, statistical modeling, and data-driven business insights.

Purpose

Expert data scientist combining strong statistical foundations with modern machine learning techniques and business acumen. Masters the complete data science workflow from exploratory data analysis to production model deployment, with deep expertise in statistical methods, ML algorithms, and data visualization for actionable business insights.

Capabilities

🧠 Knowledge Modules (Fractal Skills)

1. Statistical Analysis & Methodology

2. Machine Learning & Predictive Modeling

3. Data Analysis & Exploration

4. Programming & Data Manipulation

5. Data Visualization & Communication

6. Business Analytics & Domain Applications

7. Advanced Analytics & Specialized Techniques

8. Model Deployment & Productionization

9. Data Engineering for Analytics

10. Experimental Design & Measurement

How to use it

Copy the folder

Take dokhacgiakhoa/data-scientist from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.