$ ~/registry/skill/affaan-m-manim-video

SKILL

manim-video

Name: manim-video
Author: affaan-m

Create reusable Manim animated explainers for technical concepts, graphs, and system flows.

Stars

★ 286,082

Source

GitHub

Updated

2026-10-22

// securityCaution

Prompt only, no code
Open source
Community-trusted· 210.5k

Summary

The material indicates this is an open-source, prompt-only skill with no declared secrets, remote endpoints, or direct data exfiltration, so overall risk is low. It mainly documents a Manim video creation workflow; while it references local rendering tools, no concrete high-risk red flags are evident.

CredentialsLow risk

The material explicitly states no keys or environment variables are required, and the README does not request API tokens, account login, or third-party credentials, showing no apparent credential exposure or abuse surface.

Network egressLow risk

No remote endpoints are declared, and the README only describes local rendering and post-processing workflows, with no indication of sending user data to external services or connecting to unknown hosts.

Code executionCaution

The README references the manim CLI, ffmpeg, and related video tools, and includes a local command example; this implies local rendering/process execution in real use, which is normal for this class of video tools, and no suspicious or over-privileged execution behavior is shown.

Data accessLow risk

The material only involves scene scripts, storyboards, and output artifacts such as videos/thumbnails, without declaring broad access to user files, system data, or sensitive directories, and it shows no sign of excessive permissions.

Supply chainLow risk

The source is an open-source GitHub repository with very high community adoption (~210k stars), which materially lowers supply-chain risk; the unspecified license and maintenance status do not by themselves justify a higher risk rating.

Recommendations

If you plan to run the rendering toolchain, install and pin manim/ffmpeg versions in an isolated environment.
Before using related skills or a broader video workflow, verify whether they introduce external services or additional permissions.
Further confirm the repository license, recent commit activity, and dependency pinning status.

Audited by: gpt-5.4 · 2026-06-17

// install

Copy the install command and let the AI configure it · recommended for beginners

Please install the "manim-video" skill from askskill:
1. Download https://raw.githubusercontent.com/affaan-m/ECC/main/skills/manim-video/SKILL.md
2. Save it as ~/.claude/skills/manim-video/SKILL.md
3. Reload skills and tell me it's ready

// download

Download SKILL.mdInstall manifest ↗

// examples

Animated algorithm explainer

Prompt

Use Manim to design a 90-second animation explaining how binary search works. Include an array illustration, left/right pointer movement, time complexity notes, and a scene-by-scene structure suitable for narration.

Expected

A production-ready Manim animation plan with scenes, visuals, animation steps, and narration pacing.

System architecture walkthrough

Prompt

Generate a Manim animation script showing how a user request flows through the frontend, API gateway, service layer, and database. Keep the style clean and professional for a product demo video.

Expected

A clear system-flow animation script highlighting key components, data movement, and transitions.

Product feature flow explainer

Prompt

Create a Manim explainer plan for a SaaS product’s onboarding flow, showing signup, initial setup, dashboard review, and completing the first task, with reusable scene templates.

Expected

An animated product walkthrough plan with user-flow storyboards and reusable template suggestions.

// docs

Manim Video

Use Manim for technical explainers where motion, structure, and clarity matter more than photorealism.

When to Activate

the user wants a technical explainer animation
the concept is a graph, workflow, architecture, metric progression, or system diagram
the user wants a short product or launch explainer for X or a landing page
the visual should feel precise instead of generically cinematic

Tool Requirements

manim CLI for scene rendering
ffmpeg for post-processing if needed
video-editing for final assembly or polish
remotion-video-creation when the final package needs composited UI, captions, or additional motion layers

Default Output

short 16:9 MP4
one thumbnail or poster frame
storyboard plus scene plan

Workflow

Define the core visual thesis in one sentence.
Break the concept into 3 to 6 scenes.
Decide what each scene proves.
Write the scene outline before writing Manim code.
Render the smallest working version first.
Tighten typography, spacing, color, and pacing after the render works.
Hand off to the wider video stack only if it adds value.

Scene Planning Rules

each scene should prove one thing
avoid overstuffed diagrams
prefer progressive reveal over full-screen clutter
use motion to explain state change, not just to keep the screen busy
title cards should be short and loaded with meaning

Network Graph Default

For social-graph and network-optimization explainers:

show the current graph before showing the optimized graph
distinguish low-signal follow clutter from high-signal bridges
highlight warm-path nodes and target clusters
if useful, add a final scene showing the self-improvement lineage that informed the skill

Render Conventions

default to 16:9 landscape unless the user asks for vertical
start with a low-quality smoke test render
only push to higher quality after composition and timing are stable
export one clean thumbnail frame that reads at social size

Reusable Starter

Use assets/network_graph_scene.py as a starting point for network-graph explainers.

Example smoke test:

manim -ql assets/network_graph_scene.py NetworkGraphExplainer

Output Format

Return:

core visual thesis
storyboard
scene outline
render plan
any follow-on polish recommendations

Related Skills

video-editing for final polish
remotion-video-creation for motion-heavy post-processing or compositing
content-engine when the animation is part of a broader launch

affaan-mGet→

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$ loading_

Please install the "manim-video" skill from askskill: 1. Download https://raw.githubusercontent.com/affaan-m/ECC/main/skills/manim-video/SKILL.md 2. Save it as ~/.claude/skills/manim-video/SKILL.md 3. Reload skills and tell me it's ready

// examples

Animated algorithm explainer

Prompt

Use Manim to design a 90-second animation explaining how binary search works. Include an array illustration, left/right pointer movement, time complexity notes, and a scene-by-scene structure suitable for narration.

Expected

A production-ready Manim animation plan with scenes, visuals, animation steps, and narration pacing.

System architecture walkthrough

Prompt

Generate a Manim animation script showing how a user request flows through the frontend, API gateway, service layer, and database. Keep the style clean and professional for a product demo video.

Expected

A clear system-flow animation script highlighting key components, data movement, and transitions.

Product feature flow explainer

Prompt

Create a Manim explainer plan for a SaaS product’s onboarding flow, showing signup, initial setup, dashboard review, and completing the first task, with reusable scene templates.

Expected

An animated product walkthrough plan with user-flow storyboards and reusable template suggestions.

// docs

Manim Video

Use Manim for technical explainers where motion, structure, and clarity matter more than photorealism.

When to Activate

the user wants a technical explainer animation
the concept is a graph, workflow, architecture, metric progression, or system diagram
the user wants a short product or launch explainer for X or a landing page
the visual should feel precise instead of generically cinematic

Tool Requirements

manim CLI for scene rendering
ffmpeg for post-processing if needed
video-editing for final assembly or polish
remotion-video-creation when the final package needs composited UI, captions, or additional motion layers

Default Output

short 16:9 MP4
one thumbnail or poster frame
storyboard plus scene plan

Workflow

Define the core visual thesis in one sentence.
Break the concept into 3 to 6 scenes.
Decide what each scene proves.
Write the scene outline before writing Manim code.
Render the smallest working version first.
Tighten typography, spacing, color, and pacing after the render works.
Hand off to the wider video stack only if it adds value.

Scene Planning Rules

each scene should prove one thing
avoid overstuffed diagrams
prefer progressive reveal over full-screen clutter
use motion to explain state change, not just to keep the screen busy
title cards should be short and loaded with meaning

Network Graph Default

For social-graph and network-optimization explainers:

show the current graph before showing the optimized graph
distinguish low-signal follow clutter from high-signal bridges
highlight warm-path nodes and target clusters
if useful, add a final scene showing the self-improvement lineage that informed the skill

Render Conventions

default to 16:9 landscape unless the user asks for vertical
start with a low-quality smoke test render
only push to higher quality after composition and timing are stable
export one clean thumbnail frame that reads at social size

Reusable Starter

Use assets/network_graph_scene.py as a starting point for network-graph explainers.

Example smoke test:

manim -ql assets/network_graph_scene.py NetworkGraphExplainer

Output Format

Return:

core visual thesis
storyboard
scene outline
render plan
any follow-on polish recommendations

Related Skills

video-editing for final polish
remotion-video-creation for motion-heavy post-processing or compositing
content-engine when the animation is part of a broader launch