When should I use a simple helper versus a full architectural change?

The skill suggests extracting simple helpers immediately for duplicated calculations or queries, while recommending user consultation for changes that introduce new architectural layers.

What triggers the Pythonista Patterning skill?

It activates when Claude detects keywords like 'refactor', 'DRY', 'reusable', 'duplicate', or when you are about to write new functionality that might overlap with existing code.

How does this skill prevent code duplication?

It implements a mandatory search workflow that checks sibling files and parallel structures for similar logic before any new implementation begins.

Does this skill help with naming consistency?

Yes, it specifically checks for and enforces the use of existing parameter names, types, and validation strategies to keep the codebase uniform.

Pythonista Patterning

Name: Pythonista Patterning
Author: gigaverse-app

bygigaverse-app

API 开发

Identifies existing code patterns and promotes DRY principles to ensure consistent and maintainable software architecture.

关于

Pythonista Patterning is a specialized Claude Code skill designed to optimize codebase health by enforcing architectural consistency and code reuse. It systematically guides the discovery of existing implementation patterns before new code is written, helping developers avoid logic duplication and fragmentation. By balancing simple helper extraction with cautious infrastructure changes, it ensures that projects remain clean, readable, and logically structured while respecting established validation layers and naming conventions.

主要功能

Standardized Implementation: Enforces consistent parameter naming, error handling, and validation strategies across sibling files.
Engineering Balance: Provides heuristics to differentiate between immediate helper extraction and complex architectural shifts.
DRY Implementation: Triggers on keywords like 'refactor' or 'duplicate' to consolidate redundant logic into reusable helpers.
Validation Integrity: Ensures lower-layer validations are trusted rather than unnecessarily duplicated in service layers.
0 GitHub stars
Pattern Discovery Workflow: Systematically searches for similar implementations using grep and structural analysis.

使用场景

Refactoring a growing codebase to extract reusable helper functions and utilities.
Implementing new API endpoints that must match the structure and logic of existing services.
Auditing a project for logic duplication to reduce maintenance overhead and bug surface area.

关于

主要功能

Standardized Implementation: Enforces consistent parameter naming, error handling, and validation strategies across sibling files.
Engineering Balance: Provides heuristics to differentiate between immediate helper extraction and complex architectural shifts.
DRY Implementation: Triggers on keywords like 'refactor' or 'duplicate' to consolidate redundant logic into reusable helpers.
Validation Integrity: Ensures lower-layer validations are trusted rather than unnecessarily duplicated in service layers.
0 GitHub stars
Pattern Discovery Workflow: Systematically searches for similar implementations using grep and structural analysis.

使用场景

Refactoring a growing codebase to extract reusable helper functions and utilities.
Implementing new API endpoints that must match the structure and logic of existing services.
Auditing a project for logic duplication to reduce maintenance overhead and bug surface area.