manim-explainer-animations

manim-explainer-animations is a skill for Claude Code, Codex from dbillion/manim-storytelling-skills. It costs 232 tokens per session (2,055 once invoked), scanned A, original, MIT.

A guide for creating complete Manim Community Edition 0.20.x animations and explainer videos, including text, diagrams, graphs, tables, matrices, images, camera movement, and timed transitions. Manim is a Python tool for rendering mathematical and educational animations.

In plain words
What is it for?
Use it to create explainer videos, animated diagrams, mathematical visualizations, simulations, or presentations with Manim Community Edition.
Why use it?
It helps turn an explanation into a structured visual sequence with a clear opening, build-up, payoff, pacing, colors, and readable text.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create explainer videos, animated diagrams, mathematical visualizations, simulations, or presentations with Manim Community Edition.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dbillion/manim-storytelling-skills/manim-explainer-animations
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add dbillion/manim-storytelling-skills --skill manim-explainer-animations
Clone the repo
git clone --depth 1 https://github.com/dbillion/manim-storytelling-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for manim-explainer-animations

README.md
[![agentmods](https://agentmods.dev/badge/skills/dbillion/manim-storytelling-skills/manim-explainer-animations/github.svg)](https://agentmods.dev/skills/dbillion/manim-storytelling-skills/manim-explainer-animations)
Your own site
<a href="https://agentmods.dev/skills/dbillion/manim-storytelling-skills/manim-explainer-animations"><img src="https://agentmods.dev/badge/skills/dbillion/manim-storytelling-skills/manim-explainer-animations/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for manim-explainer-animations

Your own site · 80×15
<a href="https://agentmods.dev/skills/dbillion/manim-storytelling-skills/manim-explainer-animations"><img src="https://agentmods.dev/badge/skills/dbillion/manim-storytelling-skills/manim-explainer-animations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 232 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00232 $0.02055
Opus 5 $0.00116 $0.01027
Sonnet 5 $0.00046 $0.00411
Haiku 4.5 $0.00023 $0.00205

Measured 12d ago against content hash 5cf890d4fba7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

manim-explainer-animations scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/algebra_steps_template.py, scripts/cheatsheet_scene.py, scripts/graphing_template.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

manim-explainer-animations/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Manim Explainer Animations (Manim Community Edition, latest stable v0.20.x)

What this skill produces

A produced-feeling explainer sequence, not just technically-correct code: a hook, a build-up, a visual payoff, a release — using the right mobject/animation combination for the idea, not just the first one that works. Treat camera work, color, pacing, and text choices as part of the deliverable.

Always use Manim Community Edition (pip install manim, import as from manim import *), not manimlib (Grant Sanderson's personal fork), unless the user explicitly asks for exact 3b1b source parity. CE is what's documented, pip-installable, and actively maintained.

Setup

pip install manim --break-system-packages
apt-get install -y libcairo2-dev libpango1.0-dev ffmpeg 2>/dev/null || true
python3 -c "import manim; print(manim.__version__)"   # confirm before building anything nontrivial

Optional but high-value plugins (check if the task needs them before installing):

pip install manim-voiceover --break-system-packages   # narration-synced timing, TTS or recorded audio
pip install manim-physics --break-system-packages     # rigid body / fluid / pendulum simulations

Workflow

  1. Identify the idea's shape before picking mobjects. Is this a transformation (Transform-family), a process over time (updaters/ValueTracker), a relationship (Graph/graph theory), a function (Axes/ParametricFunction), a proof/derivation (MathTex + TransformMatchingTex), or a spatial object (3D mobjects)? The category determines which reference file to read.
  2. Storyboard in beats (5-8 beats, ~5-20s each): hook → build-up → core demonstration → payoff. Comment each beat in the construct() method so timing can be adjusted independently later.
  3. Read the relevant reference file(s) below before writing code — don't guess class names or signatures from memory; the API surface is large and easy to misremember (e.g. ShowCreation was renamed Create in CE; TexMobject/TextMobject were renamed MathTex/Tex).
  4. Render low-quality first, iterate on timing, then final-render:
    manim -pql scene.py SceneName    # quick preview, 480p15
    manim -pqh scene.py SceneName    # 1080p60 final
    manim -pqk scene.py SceneName    # 4K60, only if actually needed
    
  5. Apply the style-guide conventions (color, camera, pacing) from references/style-guide.md — don't leave default Manim styling (pure black background, default primary colors) unless the user asked for a plain/utilitarian look.

Read the full file on GitHub · 68 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 68 lines · 232 tokens per session scan A 5cf890d4fba7

Subscribe to this mod's changes

manim-explainer-animations is a skill published in the GitHub repository dbillion/manim-storytelling-skills (2 stars, last pushed 1mo ago), licensed MIT. It adds 232 tokens to every session and 2,055 once invoked, about $0.0012 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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