Pragmatic Functional Programming

Apply fp-ts patterns like pipe, Option, and Either to TypeScript data transformations.

11|3|Updated Jan 30, 2026
One-click install
npx skills add https://github.com/whatiskadudoing/fp-ts-skills --skill pragmatic-functional-programming
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Pragmatic Functional Programming
Source: https://github.com/whatiskadudoing/fp-ts-skills/tree/main/skills/fp-pragmatic
Command: npx skills add https://github.com/whatiskadudoing/fp-ts-skills --skill pragmatic-functional-programming

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pragmatic Functional Programming eliminates the cognitive load of FP by presenting a practical, jargon-free approach to applying core patterns in real TypeScript projects.

Core Features & Use Cases

  • Pipe: Build clear, linear data transformations using pipe from fp-ts/function.
  • Option & Either: Handle missing values and errors in a typed, composable way.
  • Core patterns in practice: Learn to compose readable pipelines for validation, parsing, and formatting in everyday code.
  • Use Case: Implement a small data processor that parses input, validates it, and formats the result in a single, readable flow.

Quick Start

Try the Pragmatic FP guide by applying a simple 3-step pipeline (parse → validate → format) to a sample data object.

Frequently Asked Questions about Pragmatic Functional Programming

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

FAQPage Schema
How do I use fp-ts pipe for data transformations in TypeScript?▼

Use pipe from fp-ts/function to build clear, linear data transformations by passing an initial value through a sequence of functions like map and flatMap for readable processing pipelines.

What is the best way to handle missing values in TypeScript without academic jargon?▼

Handle missing values using the Option pattern from fp-ts, which wraps potentially absent data in a typed container, allowing you to apply transformations safely without runtime null checks.

How do I manage error handling with fp-ts Either in TypeScript?▼

Manage errors using the Either pattern from fp-ts to represent failure or success in a typed, composable way, enabling you to chain operations that might fail without throwing exceptions.

How do I build a TypeScript pipeline to parse, validate, and format data?▼

Build a 3-step pipeline using pipe to parse input data, validate the results using Either or Option, and format the final output in a single, readable flow without nested callbacks.

Do I need to understand category theory to use functional programming in TypeScript?▼

No, you do not need category theory. This approach eliminates cognitive load by presenting practical functional programming patterns with clear examples and actionable guidance, avoiding academic jargon entirely.

When should I use fp-ts Option vs Either for TypeScript data processing?▼

Use Option for handling missing or optional values, and use Either for operations that can fail with a specific error. Both allow composable, typed data transformations within a pipe.