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Create Remotion Geist

Official
vercel-labs·vlatest·video-media

Generates captivating, looping videos from text prompts using Remotion and Vercel's advanced AI technology.

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/skill-remotion-geist --skill create-remotion-geist -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/skill-remotion-geist at 4f7201370f.

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

Scanned
9 files, 1,527 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 create-remotion-geist skill enables AI agents to generate and render video projects using the Remotion library. It handles the full lifecycle from creating project configurations to compiling final video outputs directly within the agent's workflow.

When to use it

  • Automating the creation of dynamic marketing videos based on real-time data feeds.
  • Generating personalized training clips for internal company documentation.
  • Rapidly prototyping visual content ideas without manual code setup.
  • Building generative video sequences where scenes change based on user input parameters.

Key capabilities

  • Initializes new Remotion projects with specific configuration settings.
  • Manages the compilation process to render final video files.
  • Integrates seamlessly into existing AI agent workflows for media generation.

Example prompts

  • "Create a new Remotion project configured for 1080p output and compile a sample scene."
  • "Set up a Geist instance to generate a looping video using the provided JSON configuration."
  • "Initialize a video project with custom component definitions and render the first frame."

Tips & gotchas

Ensure your environment has the necessary dependencies installed before invoking the skill, as it relies on the Remotion ecosystem. This tool is best suited for developers who understand the underlying React-based video architecture to debug rendering issues effectively.