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Python Patterns

Enforce Python coding standards and architectural patterns for MCP projects.

8|1|Updated Jun 30, 2025
Search Tags:#architecture#python#patterns#coding-standards#code-review#analyze
One-click install
npx skills add https://github.com/Vasallo94/obsidian-mcp-server --skill python-patterns-vasallo94
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Python Patterns
Source: https://github.com/Vasallo94/obsidian-mcp-server/tree/main/.agent/skills/python-patterns
Command: npx skills add https://github.com/Vasallo94/obsidian-mcp-server --skill python-patterns-vasallo94

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill consolidates and promotes clean coding standards, consistent architecture, and clear conventions for Python projects in the MCP ecosystem, helping teams write maintainable, high-quality code.

Core Features & Use Cases

  • Coding standards: Enforces module and function naming, typing, docstrings, and anti-patterns across Python codebases.
  • Architectural patterns: Guides module layout, import ordering, and pattern templates to improve readability and extensibility.
  • Use Case: When starting a new Python submodule in the MCP server, apply these patterns to structure modules, create robust tests, and ensure consistent style across the project.

Quick Start

Run the skill to generate a starter module following the project's Python patterns, for example creating a skeleton file structure for a new component in the MCP server.

Frequently Asked Questions about Python Patterns

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

FAQPage Schema
How do I enforce Python coding standards for MCP server modules?▼

To enforce Python coding standards for MCP server modules, apply pattern templates that structure module layout, mandate typing, docstrings, and import ordering. This ensures consistent, clean code across your project.

What is the best way to structure a new Python submodule in an MCP project?▼

The best way to structure a new Python submodule in an MCP project is to generate a skeleton file layout using established architectural patterns. This guides module organization, improves readability, and ensures scalable code.

How do I apply Python anti-patterns and code review checks in an MCP codebase?▼

Apply Python anti-pattern and code review checks in an MCP codebase by codifying class organization and function naming rules. This enforces project standards during module design and documentation tasks.

Do I need specific dependencies to use Python patterns for MCP projects?▼

No specific dependencies are required to use Python patterns for MCP projects. The skill operates standalone to codify best practices, typing, and docstring conventions directly into your software development workflow.

Why does my Python code lack consistent architecture across MCP submodules?▼

Your Python code lacks consistent architecture across MCP submodules because established pattern templates for import ordering and module layout are not applied. Enforcing these coding standards aligns the project.

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