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Manim Idea To Export

Checked
skheiller·vlatest·video-media·MIT

This skill converts Manim visualizations into exportable formats (like images or videos) for easy sharing and integration.

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 skheiller/manim-community-deep-skill --skill manim-idea-to-export -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

skheiller

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

    Only contacts known or declared hosts: github.com.

    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.

    Hosts contacted

    github.comsource host

  • 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 skheiller/manim-community-deep-skill at 52b39a1615.

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

Commit
52b39a1615
Manifest
SKILL.md
Scanned
17 files, 1,104 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 allows AI agents to translate conceptual ideas into exportable Manim animations. It handles the complex process of converting a description or outline into a functional Manim scene, including setting up camera angles and object placement. The resulting animation can then be rendered as a video file for presentation or further editing.

When to use it

  • Educational content creation: Generate animated explanations for mathematical concepts or scientific principles.
  • Presentation visuals: Create engaging visual aids for presentations by automatically turning ideas into animations.
  • Prototyping animation sequences: Quickly test and iterate on animation concepts without manual coding.
  • Automated video production: Streamline the creation of short, animated videos from textual descriptions.

Key capabilities

  • Idea to Manim scene conversion
  • Camera angle setup
  • Object placement within scenes
  • Video file rendering

Example prompts

  • "Create a Manim animation showing the concept of a Mobius strip."
  • "Generate an animation explaining how derivatives work, with graphs and labels."
  • "Produce a short video demonstrating projectile motion with adjustable launch angles."

Tips & gotchas

  • The quality of the output heavily depends on the clarity and detail provided in the prompt. Be specific about desired visuals and actions.