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Express Production

Checked
bobmatnyc·vlatest·backend·MIT

Express Production streamlines backend code generation for rapid prototyping & deployment, boosting developer efficiency and accelerating application development.

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 bobmatnyc/claude-mpm-skills --skill express-production -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

bobmatnyc

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 bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Scanned
6 files, 4,581 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

The express-production skill enables AI agents to deploy Express.js applications directly to production environments, streamlining the transition from development to live servers. It automates configuration and deployment workflows for Node.js backends without manual intervention.

When to use it

  • Deploying a new API endpoint that requires immediate public access.
  • Updating an existing backend service with bug fixes or performance improvements.
  • Setting up a staging environment that mirrors production settings.
  • Automating CI/CD pipelines for rapid iteration on server-side logic.

Key capabilities

  • One-click deployment of Express.js applications to live servers.
  • Automatic handling of production configuration variables and environment setup.
  • Integration with standard hosting platforms for Node.js services.
  • Simplified lifecycle management for backend microservices.

Example prompts

"Deploy my Express API to production using the express-production skill." "Update the user authentication endpoint and push changes to the live server." "Set up a new production instance of my order processing service with optimized settings."

Tips & gotchas

Ensure your application is fully tested in a development environment before triggering deployment, as automated processes do not revert failed pushes. Verify that all required environment variables are defined in your project configuration prior to execution.