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Asset Optimization

Checked
davincidreams·vlatest·other·MIT

Automatically reduces asset file sizes in Davinci's Dream projects while preserving visual quality for faster rendering and storage.

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 monumentalsystems/atlas-agent-teams --skill asset-optimization -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

davincidreams

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 davincidreams/agent-team-plugins at 826a409e23.

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

Scanned
1 file, 204 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 optimizes assets, likely images or videos, to reduce file size and improve loading times. It can perform tasks such as compression, resizing, and format conversion. The goal is to enhance performance for web applications and other digital platforms by minimizing resource consumption.

When to use it

  • You need to optimize images for a website to improve page load speed.
  • You're preparing videos for distribution across different devices with varying bandwidth capabilities.
  • Your application requires smaller asset sizes to reduce storage costs or data transfer fees.
  • You want to automatically resize and compress assets uploaded by users.

Key capabilities

  • Asset compression
  • Image resizing
  • Format conversion
  • Automated optimization

Example prompts

  • "Optimize this image for web use."
  • "Reduce the file size of this video without significant quality loss."
  • "Convert this PNG to a more efficient JPG format."
  • “Resize these images to 500x300 pixels.”

Tips & gotchas

The skill's effectiveness depends on the original asset’s characteristics; heavily compressed assets may not benefit significantly from further optimization. Consider testing different compression levels to find the optimal balance between file size and quality.