Build scalable WebSocket systems for real-time communication with proper connection management, message routing, error handling, and horizontal scaling support.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwebsocket-implementationExecute the skills CLI command in your project's root directory to begin installation:
Fetches websocket-implementation from aj-geddes/useful-ai-prompts and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate websocket-implementation. Access via /websocket-implementation in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Build scalable WebSocket systems for real-time communication with proper connection management, message routing, error handling, and horizontal scaling support.
Minimal working example:
const express = require("express");
const http = require("http");
const socketIo = require("socket.io");
const redis = require("redis");
const app = express();
const server = http.createServer(app);
const io = socketIo(server, {
cors: { origin: "*" },
transports: ["websocket", "polling"],
reconnection: true,
reconnectionDelay: 1000,
reconnectionDelayMax: 5000,
reconnectionAttempts: 5,
});
// Redis adapter for horizontal scaling
const redisClient = redis.createClient();
const { createAdapter } = require("@socket.io/redis-adapter");
io.adapter(createAdapter(redisClient, redisClient.duplicate()));
// Connection management
const connectedUsers = new Map();
// ... (see reference guides for full implementation)
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Node.js WebSocket Server (Socket.IO) | Node.js WebSocket Server (Socket.IO) |
| Browser WebSocket Client | Browser WebSocket Client |
| Python WebSocket Server (aiohttp) | Python WebSocket Server (aiohttp) |
| Message Types and Protocols | Message Types and Protocols |
| Scaling with Redis | Scaling with Redis |
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
We added websocket-implementation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: websocket-implementation is focused, and the summary matches what you get after install.
Useful defaults in websocket-implementation — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for websocket-implementation matched our evaluation — installs cleanly and behaves as described in the markdown.
websocket-implementation fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend websocket-implementation for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added websocket-implementation from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: websocket-implementation is focused, and the summary matches what you get after install.
websocket-implementation is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
websocket-implementation reduced setup friction for our internal harness; good balance of opinion and flexibility.
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