data-structures
CommunitySet Python data-structure standards with ease.
Software Engineering#pydantic#python#type-safety#dataclasses#software-design#coding-conventions#data-structures
Authorlibertininick
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides Python data-structure conventions to standardize when choosing between Pydantic models, dataclasses, and other data containers, ensuring consistency across the codebase and code reviews.
Core Features & Use Cases
- Validation-first modeling: Prefer Pydantic BaseModel for external API boundaries and validation.
- Lightweight internal containers: Use dataclasses for simple internal data containers with optional immutability.
- Decision guidance: Clear decision flow for when to apply Pydantic vs dataclasses, including examples and best practices.
Quick Start
Adopt the conventions in your code review and project scaffolding. Start by identifying whether a data structure represents external input/output or internal state, then apply the recommended pattern accordingly.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
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Please help me install this Skill: Name: data-structures Download link: https://github.com/libertininick/chain-reaction/archive/main.zip#data-structures Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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