Vercel Automation
ListedHelps with Vercel, automation as part of agent workflows workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add sickn33/agentic-awesome-skills --skill vercel-automation -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
sickn33
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.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
Declares what it does: failed
No SKILL.md was found in the skill's directory.
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 sickn33/agentic-awesome-skills at c808e6e480.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c808e6e480
- Scanned
- 0 files
- Copies in repo
- 3 — all of them scanned
About this skill
vercel-automation
What it does
This skill enables AI agents to interact with Vercel's platform, allowing for the management of deployments and project configurations. It streamlines DevOps workflows by automating routine tasks directly within the agent's execution environment.
When to use it
- Triggering new deployments when code changes are detected in a repository.
- Managing environment variables or updating project settings without manual login.
- Automating rollback procedures for failed builds or unstable releases.
- Streamlining CI/CD pipelines by integrating Vercel actions into agent workflows.
Key capabilities
- Direct integration with Vercel's API for automation tasks.
- Execution of deployment commands via the agent interface.
- Management of project-level configurations and settings.
Example prompts
- "Deploy the latest changes from my main branch to the production environment on Vercel."
- "Update the database URL in my staging environment variables and redeploy the app."
- "Rollback the last deployment if the health checks are failing."
Tips & gotchas
Ensure your AI agent has valid API credentials with appropriate permissions before attempting to deploy or modify projects. Verify that the connected Vercel project is correctly configured to accept automated commands from the agent's identity.