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Vercel Deployments Builds

Checked
bobmatnyc·vlatest·cloud·MIT

Automates Vercel deployment builds and checks status using bobmatnyc's tool for streamlined DevOps workflows.

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 bobmatnyc/claude-mpm-skills --skill vercel-deployments-builds -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.

Commit
718070a7d6
Manifest
toolchains/platforms/deployment/vercel-deployments-builds/SKILL.md
Scanned
2 files, 106 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 vercel-deployments-builds skill enables AI agents to programmatically trigger and manage build processes on Vercel deployments. It allows for automated integration of code changes directly into the deployment pipeline without manual intervention.

When to use it

  • Automate CI/CD workflows by triggering builds immediately after code commits or pull requests are merged.
  • Schedule periodic rebuilds for long-running projects that require fresh asset generation.
  • Test specific build configurations or environment variables before pushing changes to production.
  • Integrate with other automation tools to notify teams when a Vercel build completes successfully.

Key capabilities

  • Trigger new builds on specified Vercel projects via API calls.
  • Monitor build status and retrieve logs for debugging failed deployments.
  • Support for custom build commands and environment variable injection during the process.
  • Manage multiple deployment targets within a single workflow execution.

Example prompts

  • "Trigger a new build on my Vercel project using the latest commit from the main branch."
  • "Check the status of the last three builds and summarize any errors found in the logs."
  • "Start a deployment with custom environment variables set for staging testing."

Tips & gotchas

Ensure your AI agent has valid API credentials with sufficient permissions to interact with your Vercel account. Always verify that the repository path and branch names are correctly formatted to avoid triggering builds on unintended code.