nw-fp-domain-modeling

Model domain logic with type-level guarantees to eliminate invalid states.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/StudentCristian/nWave-github --skill nw-fp-domain-modeling
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: nw-fp-domain-modeling
Source: https://github.com/StudentCristian/nWave-github/tree/main/.github/skills/nw-fp-domain-modeling
Command: npx skills add https://github.com/StudentCristian/nWave-github --skill nw-fp-domain-modeling

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Type-driven domain modeling reduces runtime errors by representing domain invariants as compile-time guarantees and unrepresentable invalid states.

Core Features & Use Cases

  • Domain wrappers for primitives to prevent confusion and enforce boundaries
  • Validated construction (smart constructors) to guarantee invariants
  • Workflows as functions and state machines to model lifecycles
  • Type-level error handling and bounded contexts to reduce runtime checks

Quick Start

Create a domain model by wrapping a primitive, implement a smart constructor with validation, and compose it into a type-safe workflow.

Frequently Asked Questions about nw-fp-domain-modeling

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

FAQPage Schema
What is type-driven domain modeling and how does it prevent invalid states?

Type-driven domain modeling prevents invalid states by representing domain invariants as compile-time guarantees. It uses strong type systems to make invalid states unrepresentable, reducing runtime errors in functional workflows and data modeling.

How do I use smart constructors to enforce domain logic validation?

Smart constructors enforce domain logic validation by wrapping primitive types and applying invariant checks during object creation. This guarantees that only valid data enters your system, eliminating the need for subsequent runtime validation checks.

Can I model workflows as state machines using algebraic data types?

You can model workflows as state machines using algebraic data types to represent distinct lifecycle stages. This approach enforces type-level guarantees, ensuring that state transitions adhere to defined domain rules and preventing invalid workflow progressions.

What's the best way to handle errors in functional domain workflows?

The best way to handle errors in functional domain workflows is type-level error handling using railway-style pipelines. This method enforces strong type systems to manage bounded contexts and reduce runtime checks by making invalid states unrepresentable.

Does domain modeling with strong type systems support functional design principles?

Domain modeling with strong type systems supports functional design principles by applying algebraic data types and smart constructors. It enforces boundaries on primitives and models domain logic through type-safe workflows and state machines, ensuring compile-time guarantees.