library-design-patterns

Identify and articulate standardized design patterns for Python libraries in the autonomous-dev ecosystem.

32|5|Updated Oct 19, 2025
One-click install
npx skills add https://github.com/akaszubski/autonomous-dev --skill library-design-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: library-design-patterns
Source: https://github.com/akaszubski/autonomous-dev/tree/main/plugins/autonomous-dev/skills/library-design-patterns
Command: npx skills add https://github.com/akaszubski/autonomous-dev --skill library-design-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill defines standardized library design patterns (two-tier design, progressive enhancement, non-blocking enhancements, security-first architecture) to improve reusability and maintainability.

Core Features & Use Cases

  • Two-tier design pattern: core library + CLI wrapper
  • Progressive enhancement: incremental validation and security
  • Non-blocking enhancements: degrade gracefully
  • Security-first architecture and docstring standards

Quick Start

Use the two-tier pattern to structure a new Python library.

Frequently Asked Questions about library-design-patterns

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

FAQPage Schema
How do I structure a Python library for reusability and maintainability?▼

Use two-tier design: separate the core library logic from CLI wrapper interfaces. This pattern improves reusability, testability, and modularity by decoupling business logic from command-line concerns, enabling the library to be imported and used programmatically across the autonomous-dev ecosystem.

What's the best way to handle security validation in library design?▼

Implement security-first architecture with input validation, audit logging, and CWE-22/CWE-78-informed practices. Progressive enhancement lets you add validation incrementally without breaking existing code, while non-blocking enhancements allow graceful degradation when security checks fail.

How do I build a CLI that wraps a reusable Python library?▼

Apply the two-tier pattern: keep the CLI as a thin wrapper around a core library. Document APIs with comprehensive docstrings, use separation of concerns to isolate CLI logic from library logic, and ensure the core remains importable independently for programmatic use.

Can I add features to a library without breaking existing code?▼

Yes, use progressive enhancement and non-blocking enhancements. These patterns let you layer new functionality—including security checks and validation—incrementally. Code degrades gracefully when enhancements aren't available, preserving backward compatibility.

What security vulnerabilities should I address in library design?▼

Document and mitigate CWE-22 (path traversal), CWE-59 (link following), CWE-78 (command injection), and CWE-117 (log injection). Security-first architecture embeds input validation and audit logging into design from the start, reducing exposure across all library consumers.

Why separate concerns between library code and CLI interfaces?▼

Separation of concerns isolates testability, reusability, and security logic. Libraries can be used in multiple contexts—CLI, imports, server plugins—without duplicating validation or audit logic. This design supports the modular, autonomous-dev plugin ecosystem.