fp-pragmatic
Helps your agent explain functional programming practically. It teaches how to get results without complexity.
What it does
This guide teaches the essential concepts of functional programming practically, focusing on what truly matters to improve your code without complexity.
When to use it
- ✓To get started with functional programming in TypeScript.
- ✓When exploring functional programming ideas quickly (80/20 approach).
- ✓To understand when functional programming helps and when to keep code simple.
Example of what to ask your AI
“How can I start with functional programming in TypeScript in a simple way?”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
It focuses on useful patterns and avoids academic jargon, showing how to apply concepts that deliver real results.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill fp-pragmaticOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/fp-pragmatic/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Pragmatic Functional Programming
Read this first. This guide cuts through the academic jargon and shows you what actually matters. No category theory. No abstract nonsense. Just patterns that make your code better.
Detailed Guide
Read the detailed guide before executing this skill. It retains the complete procedure and reference material. Treat its safety, prerequisites, and validation requirements as mandatory. For focused work, load the relevant sections; for end-to-end work, read the guide completely.
When to Use
- You want a pragmatic starting point for fp-ts or functional programming in TypeScript.
- The task is exploratory or educational and needs an 80/20 view of what is actually worth adopting.
- You need guidance on when FP helps and when it is better to keep code simple.
When NOT to Use FP
Functional programming is not always the answer. Here's when to keep it simple.
Simple Null Checks
// Just use optional chaining - it's built into the language
const city = user?.address?.city ?? 'Unknown'
// DON'T overcomplicate it
const city = pipe(
O.fromNullable(user),
O.flatMap(u => O.fromNullable(u.address)),
O.flatMap(a => O.fromNullable(a.city)),
O.getOrElse(() => 'Unknown')
)
Simple Loops
// A for loop is fine when you need early exit or complex logic
function findFirst(items: Item[], predicate: (i: Item) => boolean): Item | null {
for (const item of items) {
if (predicate(item)) return item
}
return null
}
// DON'T force FP when it doesn't help
const result = pipe(
items,
A.findFirst(predicate),
O.toNullable
)
Performance-Critical Code
// For hot paths, imperative is faster (no intermediate arrays)
function sumLarge(numbers: number[]): number {
let sum = 0
for (let i = 0; i < numbers.length; i++) {
sum += numbers[i]
}
return sum
}
// fp-ts creates intermediate structures
const sum = pipe(numbers, A.reduce(0, (acc, n) => acc + n))
When Your Team Doesn't Know FP
If you're the only one who can read the code, it's not good code.
// If your team knows this pattern
async function getUser(id: string): Promise<User | null> {
try {
const response = await fetch(`/api/users/${id}`)
if (!response.ok) return null
return await response.json()
} catch {
return null
}
}
// Don't force this on them
const getUser = (id: string): TE.TaskEither<Error, User> =>
pipe(
TE.tryCatch(() => fetch(`/api/users/${id}`), E.toError),
TE.flatMap(r => r.ok ? TE.right(r) : TE.left(new Error('Not found'))),
TE.flatMap(r => TE.tryCatch(() => r.json(), E.toError))
)
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
FAQ
What is functional programming?
It's a programming style where you build software by thinking about functions that transform data, rather than changing the state of things.
When should I NOT use functional programming?
Avoid it when simple code solves the problem (like easy null checks), or if your team isn't familiar with the style.
Does this guide teach everything about functional programming?
No, it focuses on the 20% of concepts that yield 80% of the results, cutting out academic jargon.
Details
Original description by the author
A practical, jargon-free guide to functional programming - the 80/20 approach that gets results without the academic overhead
Popularity
- GitHub stars
- 48k
- Ranking position
- #3031
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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