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code-standards

Validate directory structure and file naming conventions across projects.

Updated Jan 28, 2026
Search Tags:#code quality#refactoring#project structure#code organization#naming conventions#code standards
One-click install
npx skills add https://github.com/zhizhunbao/ai-dev-config --skill code-standards-zhizhunbao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-standards
Source: https://github.com/zhizhunbao/ai-dev-config/tree/main/core/skills/dev-code_standards
Command: npx skills add https://github.com/zhizhunbao/ai-dev-config --skill code-standards-zhizhunbao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining consistent and high-quality code structure and naming conventions across projects, preventing technical debt and improving maintainability.

Core Features & Use Cases

  • Directory Structure Validation: Ensures projects adhere to established patterns (e.g., Python's src/, tests/, docs/).
  • File Naming Convention Enforcement: Checks for adherence to snake_case, kebab-case, PascalCase, etc., based on project type.
  • Code Organization Review: Identifies potential issues like large files, unclear module responsibilities, and tight coupling.
  • Use Case: When starting a new Python project, use this Skill to automatically set up a clean, standard directory structure and verify that all new files and modules follow the defined naming conventions.

Quick Start

Use the code-standards skill to validate the directory structure and file naming conventions for the current project.

Frequently Asked Questions about code-standards

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

FAQPage Schema
How do I validate directory structure and file naming conventions in my project?▼

File naming convention enforcement checks project files for adherence to snake_case, kebab-case, or PascalCase based on project type. This prevents technical debt by ensuring consistent code organization across various programming languages.

How do I review code organization for tight coupling and unclear module responsibilities?▼

To set up a Python project with a clean directory structure, apply validation scripts to automatically configure standard src/, tests/, and docs/ directories. This ensures all new files and modules follow defined naming conventions from the start.

Does this code standards validation work across various programming languages and project types?▼

Yes, code standards validation works across various programming languages and project types by requiring adherence to predefined project-specific rules. It adapts to different structural patterns and naming conventions based on your tech stack.

What are the limitations of enforcing code organization and module cohesion automatically?▼

Enforcing code organization and module cohesion automatically requires strict adherence to predefined project-specific rules. Limitations include potential conflicts with custom architectural patterns and the need for manual intervention when resolving complex dependency management issues.

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