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Render Automation

Checked
davepoon·vlatest·video-media·MIT

Automates repetitive rendering tasks like material adjustments, lighting tweaks, and resolution changes within supported software.

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 davepoon/buildwithclaude --skill render-automation -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

davepoon

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 davepoon/buildwithclaude at fc03a95b41.

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

Commit
fc03a95b41
Manifest
plugins/all-skills/skills/render-automation/SKILL.md
Scanned
1 file, 182 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

What it does

This skill automates rendering tasks, likely involving image or video generation. It allows users to define parameters and have an AI agent generate visual outputs based on those specifications. The tool streamlines creative workflows by handling repetitive rendering processes automatically.

When to use it

  • Generating multiple variations of a product mockup for A/B testing.
  • Creating a series of images with different lighting conditions for architectural visualization.
  • Automating the creation of short video clips from a set of still images and audio files.
  • Producing consistent visual assets for social media campaigns based on predefined templates.

Key capabilities

  • Automated rendering
  • Parameter definition
  • Visual output generation

Example prompts

  • "Generate five product mockups with different color schemes."
  • "Create a short video clip from these images and this audio file."
  • "Render an architectural visualization with soft, diffused lighting."

Tips & gotchas

The skill's effectiveness depends on clear parameter definition; ambiguous instructions may lead to unexpected results. Ensure the AI agent has access to necessary assets (images, audio files) before initiating rendering tasks.