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Veo Use

Checked
cnemri·vlatest·video-media·MIT

Veo Use allows you to generate images based on detailed descriptions of scenes and objects, offering creative visual content generation.

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 cnemri/google-genai-skills --skill veo-use -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

cnemri

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 cnemri/google-genai-skills at 7277476f92.

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

Commit
7277476f92
Manifest
skills/veo-use/SKILL.md
Scanned
7 files, 842 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 veo-use skill enables AI agents to interact with Google's Veo video generation model, allowing them to create high-quality video clips directly from text prompts or image inputs. This capability bridges the gap between generative language models and advanced visual synthesis, empowering agents to produce dynamic media for storytelling, marketing, or educational content.

When to use it

  • Generate short-form video content for social media campaigns based on a specific script or theme.
  • Create visual demonstrations for software tutorials by describing the desired UI interactions and outcomes.
  • Produce personalized birthday greetings or event highlights by inputting a description of the scene and atmosphere.

Key capabilities

  • Direct integration with Google's Veo video generation engine.
  • Text-to-video synthesis for creating clips from natural language descriptions.
  • Support for generating visual media assets within the agent workflow.

Example prompts

  • "Create a 5-second video clip of a futuristic cityscape at sunset with flying cars."
  • "Generate a short animation showing a coffee cup steaming and being picked up by a hand."
  • "Make a video illustrating the concept of photosynthesis using simple, colorful graphics."

Tips & gotchas

Ensure your text prompts are descriptive and include details about lighting, style, and motion to achieve the best results. Note that video generation capabilities may depend on specific access permissions or API limits associated with the underlying Veo model.