by Yusuke710
SKILL.md for creating animations with Manim.
# Add to your Claude Code skills
git clone https://github.com/Yusuke710/manim-skillLast scanned: 7/3/2026
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"status": "PASSED",
"scannedAt": "2026-07-03T07:20:56.448Z",
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}See how manim-skill compares with popular alternatives.
manim-skill is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Yusuke710. SKILL.md for creating animations with Manim. It has 172 GitHub stars.
Yes. manim-skill passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/Yusuke710/manim-skill" and add it to your Claude Code skills directory (see the Installation section above).
manim-skill is primarily written in HTML. It is open-source under Yusuke710 on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh manim-skill against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Automated security scan — not a certification.
Create videos like you write code, with your coding agent
Works with Claude Code and Codex. Your coding agent autonomously generates 3Blue1Brown-style videos following a structured workflow: Narration → TTS → Code → Render → Mux → View. Voiceover narration and time-synced subtitles are on by default.

git clone https://github.com/Yusuke710/manim-skill
cd manim-skill
# System libraries (macOS)
brew install cairo pkg-config ffmpeg
brew install --cask mactex-no-gui # LaTeX — required for Tex/MathTex text rendering
# Python packages — Manim + local Kokoro voiceover(no API key needed), from pyproject.toml
uv sync
# Register the skill (symlink it into each agent's skills dir)
ln -s "$PWD/skills/manim-skill" ~/.claude/skills/manim-skill # Claude Code
ln -s "$PWD/skills/manim-skill" ~/.codex/skills/manim-skill # Codex
# Alternatively, ask your coding agent to add this skill
Describe the video to your coding agent. It chooses the scene structure directly in the animation code, without creating a separate plan document.
Generate - The agent writes spoken lines to narration.txt, generates
local Kokoro TTS, writes Manim code using measured narration timing, checks
subtitles, renders, and muxes until video.mp4 exists. Silent videos skip
narration and go straight to code and rendering.
Iterate - Claude opens a video viewer in your browser. Add feedback, copy it into Claude Code, and Claude refines the video based on your notes. The same workflow works with Codex.

Watch the video and pause at a moment you want to discuss. Click Capture or press t to add the current timestamp and scene name to Notes. Describe what to fix in that frame, request a change, or ask a question—for example, "These labels overlap; move them apart" or "Why does this token attend most strongly to cup?" Repeat for any other moments.
Click Copy, paste the notes into Claude Code (or Codex), and send them. The agent can inspect the referenced frames, answer your questions, and update the affected scenes. Reload the viewer to watch the revised video and repeat as needed.
Narration uses Kokoro TTS, an open-weight
text-to-speech model that runs locally without an API key. uv sync installs
the Python dependencies.
Every video is a flat session folder under one consistent home — never in your working directory:
~/.manim-skill/<project-slug>/ # narration.txt, script.py, video.mp4, media/, ...
Override the home with MANIM_SKILL_HOME. This means you can point the skill at
your own codebase ("visualize this algorithm") without it leaving artifacts
behind — it reads your files in place and writes only into the session folder.
MIT License - see LICENSE file for details.