preferences-algebraic-data-types

Implement Algebraic Data Types with sum types, product types, and newtype patterns.

14|Updated May 28, 2024
One-click install
npx skills add https://github.com/cameronraysmith/vanixiets --skill preferences-algebraic-data-types
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: preferences-algebraic-data-types
Source: https://github.com/cameronraysmith/vanixiets/tree/main/modules/home/ai/skills/src/core/preferences-algebraic-data-types
Command: npx skills add https://github.com/cameronraysmith/vanixiets --skill preferences-algebraic-data-types

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you design robust and precise data structures by leveraging Algebraic Data Types (ADTs), ensuring that illegal states are unrepresentable and improving code safety and clarity.

Core Features & Use Cases

  • Sum Types: Model "OR" relationships (e.g., discriminated unions for states like Pending, Confirmed, Cancelled).
  • Product Types: Model "AND" relationships (e.g., records, tuples, database tables).
  • Newtype Pattern: Wrap primitive types to add semantic meaning and prevent accidental mixing (e.g., UserId vs. OrderId).
  • State Machines: Naturally represent entity lifecycles and transitions.
  • Use Case: When designing a payment system, use sum types to ensure a payment is either CreditCardPayment OR BankAccountPayment, preventing invalid combinations and enforcing required fields for each type.

Quick Start

Use the preferences-algebraic-data-types skill to understand how to model a shopping cart's lifecycle using sum types.

Frequently Asked Questions about preferences-algebraic-data-types

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

FAQPage Schema
How do I model state machines using algebraic data types?

You can model state machines using algebraic data types by representing entity lifecycles and transitions as sum types, ensuring that only valid states and transitions are representable in your code.

How do I make illegal states unrepresentable in domain-driven design?

To make illegal states unrepresentable in domain-driven design, use algebraic data types like sum types to enforce strict 'OR' relationships, preventing invalid data combinations such as mixing required fields across different payment methods.

What is the newtype pattern for type safety?

The newtype pattern for type safety involves wrapping primitive types to add semantic meaning, preventing accidental mixing of distinct domain identifiers like UserId and OrderId during data modeling operations.

When should I use sum types vs product types for data modeling?

Use sum types to model 'OR' relationships like discriminated unions for various states, and product types to model 'AND' relationships like records or database tables when designing complex domain logic.

Can I implement algebraic data types across different programming languages and databases?

Yes, you can implement algebraic data types across various programming languages and database systems by applying specific patterns to define precise types, ensuring robustness and maintainability in your software design.