·concept-to-video
*

concept-to-video

Turn any concept into an animated explainer video using Manim (Python). Use whenever the user wants animated visualizations, motion graphics, or video output (MP4/GIF) for technical concepts. Covers: architecture animations, data flow visualizations, algorithm step-throughs, pipeline explainers, math proofs, comparisons, agent interactions, training loops, or any "animate X" / "make a video of X" request. Also trigger for existing Manim scene edits or re-renders. Trigger on: "create a video", "animate this", "make an explainer", "concept to video", "manim animation", "show this as a video", "motion graphic", "visualize this process", or any concept + video/animation output request. Use this skill even for casual "animate" requests about technical ideas.

16Installs·1Trend·@mathews-tom

Installation

$npx skills add https://github.com/mathews-tom/praxis-skills --skill concept-to-video

How to Install concept-to-video

Quickly install concept-to-video AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/mathews-tom/praxis-skills --skill concept-to-video
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: mathews-tom/praxis-skills.

SKILL.md

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Creates animated explainer videos from concepts using Manim (Python) as a programmatic animation engine.

| references/scene-patterns.md | Common scene patterns for different concept types with reusable templates | | scripts/rendervideo.py | Wrapper around Manim CLI — handles quality, format, output path cleanup |

Manim is the "SVG of video" — you write Python code that describes animations declaratively, and it renders to MP4/GIF at any resolution. The Python scene file IS the editable intermediate: the user can see the code, request changes ("make the arrows red", "add a third step", "slow down the transition"), and only do a final high-quality render once satisfied. This makes the workflow iterative and controllable, exa...

Turn any concept into an animated explainer video using Manim (Python). Use whenever the user wants animated visualizations, motion graphics, or video output (MP4/GIF) for technical concepts. Covers: architecture animations, data flow visualizations, algorithm step-throughs, pipeline explainers, math proofs, comparisons, agent interactions, training loops, or any "animate X" / "make a video of X" request. Also trigger for existing Manim scene edits or re-renders. Trigger on: "create a video", "animate this", "make an explainer", "concept to video", "manim animation", "show this as a video", "motion graphic", "visualize this process", or any concept + video/animation output request. Use this skill even for casual "animate" requests about technical ideas. Source: mathews-tom/praxis-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/mathews-tom/praxis-skills --skill concept-to-video
Category
*Creative Media
Verified
First Seen
2026-02-25
Updated
2026-03-10

Browse more skills from mathews-tom/praxis-skills

Quick answers

What is concept-to-video?

Turn any concept into an animated explainer video using Manim (Python). Use whenever the user wants animated visualizations, motion graphics, or video output (MP4/GIF) for technical concepts. Covers: architecture animations, data flow visualizations, algorithm step-throughs, pipeline explainers, math proofs, comparisons, agent interactions, training loops, or any "animate X" / "make a video of X" request. Also trigger for existing Manim scene edits or re-renders. Trigger on: "create a video", "animate this", "make an explainer", "concept to video", "manim animation", "show this as a video", "motion graphic", "visualize this process", or any concept + video/animation output request. Use this skill even for casual "animate" requests about technical ideas. Source: mathews-tom/praxis-skills.

How do I install concept-to-video?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/mathews-tom/praxis-skills --skill concept-to-video Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/mathews-tom/praxis-skills