Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install fp-pipe-refgit clone https://github.com/sickn33/antigravity-awesome-skills.gitcp antigravity-awesome-skills/skills/fp-pipe-ref/SKILL.md ~/.claude/skills/fp-pipe-ref/SKILL.md---
name: fp-pipe-ref
description: Quick reference for pipe and flow. Use when user needs to chain functions, compose operations, or build data pipelines in fp-ts.
risk: unknown
source: community
version: 1.0.0
tags: [fp-ts, pipe, flow, composition, quick-reference]
---
# pipe & flow Quick Reference
## pipe - Transform a Value
```typescript
import { pipe } from 'fp-ts/function'
// pipe(startValue, fn1, fn2, fn3)
// = fn3(fn2(fn1(startValue)))
const result = pipe(
' hello world ',
s => s.trim(),
s => s.toUpperCase(),
s => s.split(' ')
)
// ['HELLO', 'WORLD']
```
## flow - Create Reusable Pipeline
```typescript
import { flow } from 'fp-ts/function'
// flow(fn1, fn2, fn3) returns a new function
const process = flow(
(s: string) => s.trim(),
s => s.toUpperCase(),
s => s.split(' ')
)
process(' hello world ') // ['HELLO', 'WORLD']
process(' foo bar ') // ['FOO', 'BAR']
```
## When to Use
| Use | When |
|-----|------|
| `pipe` | Transform a specific value now |
| `flow` | Create reusable transformation |
## With fp-ts Types
```typescript
import * as O from 'fp-ts/Option'
import * as A from 'fp-ts/Array'
// Option chain
pipe(
O.fromNullable(user),
O.map(u => u.email),
O.getOrElse(() => 'no email')
)
// Array chain
pipe(
users,
A.filter(u => u.active),
A.map(u => u.name)
)
```
## Common Pattern
```typescript
// Data last enables partial application
const getActiveNames = flow(
A.filter((u: User) => u.active),
A.map(u => u.name)
)
// Reuse anywhere
getActiveNames(users1)
getActiveNames(users2)
```
## 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.