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Nodejs Expert

Checked
ai-engineer-agent·vlatest·backend

Develops, debugs, and optimizes Node.js backend applications and APIs with expert-level proficiency.

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 agenticaiengineer/ai-engineer-skills --skill nodejs-expert -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

ai-engineer-agent

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 ai-engineer-agent/ai-engineer-skills at ae0b890c03.

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

Scanned
1 file, 156 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

The ai-engineer-agent-nodejs-expert skill enables AI agents to write, debug, and deploy Node.js applications. It leverages expert knowledge of the Node.js ecosystem including frameworks, libraries, and best practices. This allows for automated backend development tasks, from simple scripts to complex APIs.

When to use it

  • Automated API Development: Generate a REST API endpoint based on a given schema or description.
  • Debugging Existing Code: Identify and fix errors in existing Node.js codebases.
  • Script Generation: Create custom Node.js scripts for tasks like data processing, web scraping, or system automation.
  • Code Refactoring: Improve the structure and efficiency of existing Node.js projects.

Key capabilities

  • Node.js application development
  • Debugging and error resolution
  • API creation and management
  • Script generation
  • Code refactoring

Example prompts

  • "Write a simple Node.js HTTP server that returns 'Hello, world!'"
  • "Debug this Node.js code: [paste code here]"
  • "Create a Node.js script to scrape data from [website URL]."

Tips & gotchas

This skill requires a basic understanding of JavaScript and the Node.js runtime environment for optimal results. While it can generate complex applications, review generated code carefully before deployment.