Part VIII - Project Structure and Organization

What problem does it solve?

This Skill addresses the problem of inconsistent and non-standard project structures and organizations in AI development, which can lead to maintainability and scalability issues.

Core Features & Use Cases

• Standardized Directory Structure: Ensures a consistent layout that is predictable and self-documenting.
• File Naming Conventions: Establishes clear naming standards for different types of files (e.g., source, test, config).
• Configuration Management: Provides guidelines for centralized, environment-aware configuration.
• Dependency Management: Outlines best practices for dependency selection, updating, and auditing.
• Monorepo Governance: Details standards for managing packages in a monorepo environment.
• Build and Deployment: Standardizes automation and documentation for builds and deployments.
• Versioning: Defines Semantic Versioning rules for consistent versioning of AI projects.
• Release Management: Outlines a process for planning, testing, and documenting releases.
• Branching Strategy: Recommends a consistent branching strategy for development.
• Git Commit Standards: Provides guidelines for meaningful and conventional commit messages.
• Pull Request Standards: Ensures high-quality contributions through review processes.
• Code Freeze: Defines procedures for scheduling and managing code freezes.

Quick Start

To begin applying these standards, review the provided SKILL.md file which includes the detailed guidelines and checklists for each aspect of project structure and organization.