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Reactive Programming

  • 439 installs
  • 305 repo stars
  • Updated March 4, 2026
  • aj-geddes/useful-ai-prompts

reactive-programming is a Claude Code skill that applies reactive streams and observables to model async UI events, data pipelines, backpressure, and composable operators in Rx-style client or server code for developers

About

reactive-programming is a prompt-driven skill from aj-geddes/useful-ai-prompts that teaches Rx-style reactive programming patterns for async UI events, server data pipelines, backpressure handling, and composable stream operators. The skill helps developers refactor callback-heavy or Promise-chained code into observable pipelines using map, filter, mergeMap, switchMap, and debounce patterns familiar from RxJS, RxJava, and ReactiveX ecosystems. Reach for reactive-programming when building real-time dashboards, autocomplete search, WebSocket feeds, or multi-step async workflows where event composition and cancellation matter. Output includes observable chain designs, operator selection rationale, marble-diagram explanations, and refactored TypeScript or Java stream code snippets.

  • Observables and subscribers
  • Operator composition
  • Backpressure handling
  • Hot vs cold streams
  • Error and completion paths

Reactive Programming by the numbers

  • 439 all-time installs (skills.sh)
  • Ranked #647 of 2,245 Frontend Development skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
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Listed on Skillselion
Installs439
repo stars305
Last updatedMarch 4, 2026
Repositoryaj-geddes/useful-ai-prompts

How do you model async UI with Rx observables?

Apply reactive streams and observables to model async UI events, data pipelines, backpressure, and composable operators in Rx-style client or server code.

Who is it for?

Frontend and full-stack engineers implementing RxJS or ReactiveX streams for real-time UI and async pipelines.

Skip if: Simple REST CRUD pages or batch ETL jobs where plain async/await without stream composition is sufficient.

When should I use this skill?

User asks about RxJS observables, reactive streams, backpressure, switchMap, or refactoring callbacks to observables.

What you get

Observable pipeline design with operators, backpressure strategy, and refactored stream code

Files

SKILL.mdMarkdownGitHub ↗

Reactive Programming

Table of Contents

Overview

Build responsive applications using reactive streams and observables for handling asynchronous data flows.

When to Use

  • Complex async data flows
  • Real-time data updates
  • Event-driven architectures
  • UI state management
  • WebSocket/SSE handling
  • Combining multiple data sources

Quick Start

Minimal working example:

import {
  Observable,
  Subject,
  BehaviorSubject,
  fromEvent,
  interval,
} from "rxjs";
import {
  map,
  filter,
  debounceTime,
  distinctUntilChanged,
  switchMap,
} from "rxjs/operators";

// Create observable from array
const numbers$ = new Observable<number>((subscriber) => {
  subscriber.next(1);
  subscriber.next(2);
  subscriber.next(3);
  subscriber.complete();
});

numbers$.subscribe({
  next: (value) => console.log(value),
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

GuideContents
RxJS BasicsRxJS Basics
Search with DebounceSearch with Debounce
State ManagementState Management
WebSocket with ReconnectionWebSocket with Reconnection
Combining Multiple StreamsCombining Multiple Streams
Backpressure HandlingBackpressure Handling
Custom OperatorsCustom Operators

Best Practices

✅ DO

  • Unsubscribe to prevent memory leaks
  • Use operators to transform data
  • Handle errors properly
  • Use shareReplay for expensive operations
  • Combine streams when needed
  • Test reactive code

❌ DON'T

  • Subscribe multiple times to same observable
  • Forget to unsubscribe
  • Use nested subscriptions
  • Ignore error handling
  • Make observables stateful

Related skills

How it compares

Pick reactive-programming for stream composition and operator design; use async/await refactoring skills when linear Promise chains are enough.

FAQ

What reactive libraries does reactive-programming target?

reactive-programming targets Rx-style ecosystems including RxJS for TypeScript frontends and ReactiveX patterns on Java and other server runtimes. The skill covers observables, operators, backpressure, and composable async pipelines.

When should developers use reactive-programming?

reactive-programming fits real-time dashboards, WebSocket feeds, autocomplete search, and multi-step async workflows where stream composition, cancellation, and operator chaining matter more than simple Promise chains.

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