structured-content-storage

# Structured Content Storage Skill Ensures all created or processed content follows strict organizational and documentation standards with structured storage, comprehensive comments, and complete project documentation. ## When to Use This Skill **AUTO-ACTIVATES** for any of these tasks: - Writing machine learning training scripts - Creating data processing or data cleaning scripts - Developing any code that processes or transforms data - Modifying existing structured projects or scripts - Creating analysis scripts or computational workflows - Building data pipelines or ETL processes - Any code creation task that produces files or processes data ## Not For / Boundaries - Pure conversational queries without code output - Reading or analyzing existing code without modification - Simple one-line fixes that don't affect project structure **Required inputs**: If modifying existing projects, must first read and understand the original structure. ## Quick Reference ### Core Principles **1. Structured Directory Layout** ``` project-name/ ├── README.md # Project overview and directory guide ├── src/ # Source code with detailed comments │ ├── main.py # Main entry point │ └── utils.py # Utility functions ├── data/ # Data files │ ├── raw/ # Original data │ ├── processed/ # Cleaned/transformed data │ └── DATA_DICTIONARY.md # Data field descriptions ├── docs/ ...