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Vercel Development

Checked
mindrally·vlatest·cloud·Apache-2.0

Automates Vercel project deployments, configurations, and troubleshooting tasks directly within your workflow.

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 mindrally/skills --skill vercel-development -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
vercel-development/SKILL.md
Scanned
1 file, 485 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

Vercel Development

What it does

This skill enables AI agents to interact directly with the Vercel platform, allowing them to manage deployments, configure environments, and handle project settings. It streamlines the workflow for developers who want automated control over their serverless infrastructure and continuous integration pipelines.

When to use it

  • Automating the deployment of new features or hotfixes to production environments.
  • Managing multiple Vercel projects by switching contexts and applying specific configurations.
  • Troubleshooting build failures by accessing logs and error details within the platform.
  • Setting up custom domains, SSL certificates, and environment variables programmatically.

Key capabilities

  • Deploying applications directly from the command line or via API integration.
  • Managing project settings including team memberships and access controls.
  • Viewing real-time build logs and deployment status updates.
  • Configuring production and preview environments with distinct settings.

Example prompts

  • "Deploy my latest changes to the main branch on Vercel and confirm the build status."
  • "List all active projects in my Vercel team and show their current deployment URLs."
  • "Update the environment variables for my staging project to include the new API keys."

Tips & gotchas

Ensure your AI agent has the necessary authentication tokens or CLI credentials configured before attempting any write operations like deployments. Always verify the target branch and environment settings to avoid accidental overwrites of production data.