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KangWang42
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project-init

Create standardized epidemiological research project directories and template files.

14|2|Updated Jan 29, 2026
Search Tags:#data management#project initialization#directory structure#epidemiology#research setup#template files
One-click install
npx skills add https://github.com/KangWang42/EpiClaude --skill project-init-kangwang42
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: project-init
Source: https://github.com/KangWang42/EpiClaude/tree/main/skills/project-init
Command: npx skills add https://github.com/KangWang42/EpiClaude --skill project-init-kangwang42

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of a standardized, seven-layer directory structure and essential template files for epidemiological and health statistics research projects, ensuring consistency and best practices from the outset.

Core Features & Use Cases

  • Project Structure Generation: Creates a predefined directory hierarchy (01_data/, 02_code/, etc.) suitable for research projects.
  • Template File Creation: Generates boilerplate files like CLAUDE.md, README.md, .gitignore, and initial R scripts for data cleaning.
  • Git Configuration: Sets up a basic .gitignore file to manage project files effectively.
  • Use Case: When starting a new cohort study, use this skill to instantly set up the project's file system and initial configuration, allowing you to focus immediately on data acquisition and cleaning.

Quick Start

Use the project-init skill to create a new cohort study project named 'my_project'.

Frequently Asked Questions about project-init

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up a standardized directory structure for an epidemiological research project?▼

To set up an epidemiological research project, this tool initializes a seven-layer directory structure and essential template files. It automatically generates folders like `01_data/` and `02_code/` to ensure consistency and best practices from the outset.

What template files are generated when initializing a new research project?▼

When initializing a research project, the tool generates template files including `CLAUDE.md`, `README.md`, data dictionaries, initial R scripts for data cleaning, and a `.gitignore` file. These boilerplate files help standardize project configuration.

Can I use this project setup tool for different types of epidemiological studies?▼

Yes, this project setup tool supports various epidemiological study types. It can initialize standardized directory structures and template files for cohort, case-control, cross-sectional, and intervention studies.

How do I create a new cohort study project with initial R scripts and data dictionaries?▼

You can create a new cohort study project by triggering the initialization process. It instantly sets up the file system, generates initial R scripts for data cleaning, and creates data dictionaries, allowing you to focus immediately on data acquisition.

Does this research project initialization tool require any specific dependencies or environments?▼

No specific dependencies are required to use this research project initialization tool. It operates independently to generate the standardized directory hierarchy and template files directly in your project folder.

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