Agent skill

Manim Video

by WrongStack in WrongStack/WrongStack

Create mathematical, geometric and scientific videos with Manim Community in Python.

MITAuto-check passedMedia & Creative

Install Manim Video

skills CLI
$ npx skills add WrongStack/WrongStack --skill manim-video -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install WrongStack/WrongStack manim-video --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/WrongStack/WrongStack.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/skills/manim-video .claude/skills/manim-video && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
manim-video
GitHub stars
371
Token cost
~953 tokens
SKILL.md length
359 words
Files
1
Skills in repo
100
Repo updated
First seen
Licence
MIT

At a glance

Create mathematical, geometric and scientific videos with Manim Community in Python.

  • Works in 6 steps: Inspect the project's environment and… → Derive the explanation before the… → Use Scene or a supported specialized… → …
  • Animating equations
  • SKILL.md covers Selection card, Overview, Rules and Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Manim Video is an agent skill from WrongStack/WrongStack. Create mathematical, geometric and scientific videos with Manim Community in Python. Use when animating equations, graphs, transformations or educational explanations; distinguish Manim Community from ManimGL and deliver a rendered, inspected video.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Media & Creative. It works with Manim and Python. The repository describes itself as: An AI coding agent that reads your code, edits files, runs commands, and reasons through bugs — across a terminal REPL, a full-screen TUI, and a browser UI, while you keep your… The licence is MIT.

When your agent uses it

  • Animating equations
  • Transformations
  • Educational explanations
  • Distinguish Manim Community from ManimGL and deliver a rendered

Example prompts

  • “/manim-video”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Inspect the project's environment and imports. Use its virtual environment
  2. Derive the explanation before the animation: quantities, units, assumptions,
  3. Use Scene or a supported specialized scene, explicit run_time and deliberate
  4. Validate mathematical correctness independently from a successful render.
  5. Distinguish Text from Tex/MathTex. LaTeX requires external tooling; prototype
  6. Select the renderer for needed capabilities. Do not assume Cairo and OpenGL

What it can do on your machine

Read from SKILL.md and the folder at commit a744bdc. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • docs.manim.community
    • pypi.org

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Manim Video loads about 953 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 359 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~65
When it runs · the whole SKILL.md, loaded when a task matches
~953

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from WrongStack/WrongStack at commit a744bdc, republished under its MIT licence (© WrongStack). 359 words, ~953 tokens.

Download SKILL.mdSave it as .claude/skills/manim-video/SKILL.md (or your agent's skills folder).
name
manim-video
description
Create mathematical, geometric and scientific videos with Manim Community in Python. Use when animating equations, graphs, transformations or educational explanations; distinguish Manim Community from ManimGL and deliver a rendered, inspected video.
version
1.0.1
trigger
animating equations, graphs, transformations or educational explanations; distinguish Manim Community from ManimGL and deliver a rendered, inspected video.
required-capabilities
filesystem.read, filesystem.write
optional-capabilities
verification.run, web.research
metadata.routing-group
media

Manim Video

Selection card

  • Task: Render mathematical animation with Manim Community. / TR: Manim Community ile matematik animasyonu render et.
  • Start: Identify the existing engine, scene, timeline and delivery format.
  • Finish: apply the acceptance checks below; report observed results and unresolved constraints.

Overview

Target Manim Community 0.22.0, checked against PyPI and stable documentation on 2026-10-09. Confirm Python/system requirements from package metadata and the installation guide. ManimGL is a different project with different APIs.

Rules

  1. Inspect the project's environment and imports. Use its virtual environment and dependency manager; avoid global installation or copying ManimGL examples into Manim Community.
  2. Derive the explanation before the animation: quantities, units, assumptions, equation steps, axes and what each transformation means.
  3. Use Scene or a supported specialized scene, explicit run_time and deliberate waits. Updaters must have bounded ownership and be removed when no longer needed.
  4. Validate mathematical correctness independently from a successful render. Avoid transforms that visually imply an invalid equivalence.
  5. Distinguish Text from Tex/MathTex. LaTeX requires external tooling; prototype one formula and required font before building a long sequence.
  6. Select the renderer for needed capabilities. Do not assume Cairo and OpenGL have identical output or plugin support.
Show full SKILL.md (163 more words)Show less

Workflow

  1. Plan the narration and visual proof with representative formulas.
  2. Create reusable labels, axes, colors and transformations with a stable visual identity. Keep critical content inside the output frame.
  3. Render a low-quality preview and inspect layout, glyphs, direction of motion and timing. Re-render boundary frames after corrections.
  4. Render the final scene at the agreed dimensions/fps. Add narration or subtitles through the installed integration or final media assembly.
  5. Probe and play the final artifact; inspect numerical labels and every equation. Provide the scene class, environment/lockfile and exact render command.

Minimal scene

python
from manim import Circle, Create, Scene, Transform, Square

class ShapeTransition(Scene):
    def construct(self):
        shape = Circle()
        self.play(Create(shape), run_time=1)
        self.play(Transform(shape, Square()), run_time=1)
        self.wait(0.5)

From the selected environment: python -m manim -ql scene.py ShapeTransition. Use python -m manim --help for current quality, renderer and output flags. This example avoids LaTeX; mathematical scenes should verify its availability.

Sources

Installation, quickstart, PyPI.

Acceptance checks

  • Render and play the final file; verify mathematical meaning, layout and duration.

Skills in scope

  • media-production — narration, subtitles and final encoding.
  • audio-studio — spoken explanation.
  • tech-stack — Python and system dependency compatibility.

© WrongStack, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/core/skills/manim-video of WrongStack/WrongStack.

Open the folder on GitHubat commit a744bdc

Compare with similar skills

Manim Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Manim Video compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Manim Video this skillWrongStack/WrongStack371—~953Automated safety check: PassMIT
Noon Authoringyongkyuns/noon133—~2kAutomated safety check: PassNone
Remotionzhuzhaoyun/Molio433—~4kAutomated safety check: PassCustom licence
Manim VideoHybridAIOne/hybridclaw159—~4.7kAutomated safety check: NotesMIT
Concept To VideoMathews-Tom/armory329—~4.9kAutomated safety check: PassMIT
Manimautonomous-ai/openharness1.2k—~1.1kAutomated safety check: PassMIT

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Works with

Questions about Manim Video

What does Manim Video do?

Create mathematical, geometric and scientific videos with Manim Community in Python. Manim Video is an agent skill from WrongStack/WrongStack. Create mathematical, geometric and scientific videos with Manim Community in Python.

When should I use Manim Video?

Manim Video fits situations like: animating equations; transformations; educational explanations; distinguish Manim Community from ManimGL and deliver a rendered.

How do I install Manim Video in Claude Code?

Run `npx skills add WrongStack/WrongStack --skill manim-video -a claude-code`. Or copy the skill folder (packages/core/skills/manim-video in WrongStack/WrongStack) into .claude/skills/manim-video in your project. Claude Code loads it when a task matches its description.

How do I install Manim Video in Codex?

Run `npx skills add WrongStack/WrongStack --skill manim-video -a codex`. Or copy the skill folder (packages/core/skills/manim-video in WrongStack/WrongStack) into .agents/skills/manim-video in your project. Codex loads it when a task matches its description.

Can I use Manim Video in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WrongStack/WrongStack --skill manim-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/manim-video, .gemini/skills/manim-video, .github/skills/manim-video and .opencode/skills/manim-video in your project.

What does Manim Video need to run?

SKILL.md names no scripts, command-line tools or credentials: Manim Video is instructions for the agent only. Our summary lists: Python 3.

Does Manim Video access the network?

SKILL.md names 2 domains. As links in the text: docs.manim.community and pypi.org. This is read from the text; nothing was executed.

Is Manim Video safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Manim Video use?

Manim Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Manim Video use?

About 953 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Manim Video?

Skills that share tags, products or a category with Manim Video: Noon Authoring (yongkyuns/noon, 133 stars), Remotion (zhuzhaoyun/Molio, 433 stars), Manim Video (HybridAIOne/hybridclaw, 159 stars) and Concept To Video (Mathews-Tom/armory, 329 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Manim Video?

WrongStack (a GitHub organization) maintains it in WrongStack/WrongStack, which has 371 GitHub stars. The repository holds 100 skills in this directory. The repository was last updated on October 10, 2026.

Source: WrongStack/WrongStack on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.