definable-code-patterns

Standardize coding patterns and conventions for the Definable AI framework.

27|4|Updated Jun 12, 2025
One-click install
npx skills add https://github.com/definableai/definable.ai --skill definable-code-patterns
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: definable-code-patterns
Source: https://github.com/definableai/definable.ai/tree/main/.cursor/skills/definable-code-patterns
Command: npx skills add https://github.com/definableai/definable.ai --skill definable-code-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Authoritative guide for writing code in the Definable AI framework. It standardizes architecture, conventions, patterns, formatting, testing, and module idioms to improve consistency and quality when contributing to the definable package, building stores, interfaces, or tools.

Core Features & Use Cases

  • Enforces formatting rules (2-space indentation, double quotes, 150-character line length) and coding conventions across the Definable AI codebase.
  • Provides a centralized reference for architecture, idioms, testing strategies, and module-specific patterns to streamline development and reviews.
  • Use Case: Onboarding new contributors or reviewing code changes to ensure adherence to the Definable AI coding standards.

Quick Start

Follow these guidelines to begin aligning new or existing code with the Definable AI coding standards and patterns.

Frequently Asked Questions about definable-code-patterns

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

FAQPage Schema
What coding conventions does the Definable AI framework enforce?

Definable AI coding conventions enforce 2-space indentation, double quotes, 150-character line lengths, Python 3.12+ compatibility, TYPE_CHECKING guards, and lazy imports across the definable package. These standardized formatting rules ensure architecture consistency and high code quality.

How do I standardize code patterns for Definable AI tools and stores?

Standardize code patterns by applying centralized architecture, formatting, testing, and module-specific idioms across Definable AI tools, models, stores, and interfaces. This codification streamlines development and ensures adherence to established coding conventions during reviews.

Do I need Python 3.12 or higher to use Definable AI coding standards?

Yes, Python 3.12 or higher is required to ensure compatibility with Definable AI coding standards. The framework enforces this version prerequisite alongside specific formatting rules like 2-space indentation and 150-character lines for all module implementations.

What's the best way to onboard new contributors to Definable AI module idioms?

The best way to onboard contributors is using the authoritative Definable AI coding patterns guide. It provides a centralized reference for architecture, testing strategies, and module-specific idioms to streamline onboarding and review code changes effectively.

Why use TYPE_CHECKING guards and lazy imports in Definable AI architecture?

TYPE_CHECKING guards and lazy imports are enforced in Definable AI architecture to optimize module loading and manage dependencies cleanly. Adopting these specific coding patterns prevents circular imports and improves overall framework performance.