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Websocket Implementation

Checked
aj-geddes·vlatest·backend·MIT

Enables real-time bidirectional communication via WebSockets for dynamic data streaming and interactive applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill websocket-implementation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

aj-geddes

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned aj-geddes/useful-ai-prompts at 3f5182cfd7.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
3f5182cfd7
Manifest
skills/websocket-implementation/SKILL.md
Scanned
8 files, 624 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to establish persistent, full-duplex communication channels over a single TCP connection. It allows for real-time data exchange between the agent and server without the overhead of repeatedly establishing new connections.

When to use it

  • Building chat applications requiring instant message delivery without latency.
  • Creating live dashboards that update automatically as backend data changes.
  • Implementing collaborative tools where multiple users interact with shared state simultaneously.
  • Developing IoT integrations needing immediate sensor feedback loops.

Key capabilities

  • Maintains long-lived TCP connections for continuous data flow.
  • Supports bidirectional communication between client and server.
  • Handles real-time event streaming efficiently.
  • Reduces connection overhead compared to HTTP polling.

Example prompts

  • "Set up a WebSocket server in Node.js that broadcasts stock price updates every second."
  • "Create a React frontend component connected via WebSocket to display live chat messages."
  • "Write a Python script using the websockets library to handle incoming sensor data streams from an IoT device."

Tips & gotchas

Ensure your backend server supports WebSocket upgrades before attempting client connections. Handle connection closures gracefully to prevent application crashes during network interruptions.