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Skill Creator

Official
vercel-labs·vlatest·agents·Apache-2.0

Automatically generates Vercel deployment configurations and scripts from natural language prompts, streamlining project setup.

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 vercel-labs/json-render --skill skill-creator -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

vercel-labs

Matched to the vendor's own GitHub organisation.

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 vercel-labs/json-render at c2600d7390.

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

Commit
c2600d7390
Manifest
skills/skill-creator/SKILL.md
Scanned
7 files, 948 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 Labs Skill Creator enables you to discover, install, and manage custom capabilities directly within your AI agent environment. It streamlines the workflow of expanding an agent's functionality by providing a centralized interface for browsing available tools and integrating them seamlessly.

When to use it

  • You need to equip a new AI agent with specific domain knowledge or external tool access before deployment.
  • You want to browse the registry of available skills without leaving your current development workspace.
  • You are managing multiple agents and require a consistent method to update their installed capabilities.

Key capabilities

  • Discovery: Browse a curated library of skills designed for AI agents.
  • Installation: One-click integration of new skills into your agent configuration.
  • Management: Centralized control over which tools an agent can access and utilize.

Example prompts

  • "Help me install the latest data analysis skill so my agent can process CSV files."
  • "Show me all available skills for integrating with third-party APIs."
  • "Update my production agent by adding the security audit capability from the registry."

Tips & gotchas

Ensure your AI agent has write permissions to its configuration directory before attempting to install new skills. While this tool simplifies integration, always verify that a newly installed skill aligns with your specific use case and data privacy requirements before enabling it in a live environment.