Manim Video

affaan-m/ECC/skills/manim-video

by affaan-mef648e01899ba3e8dc6371642deaaf64b4477775No license275K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 4 days ago

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.

Includes scriptsDesign & Creative
AI-generated overview

Builds Manim animated explainer videos for technical concepts, graphs, and system diagrams.

What it does
Guides the creation of short Manim explainer animations, from a one-sentence visual thesis through a 3-6 scene storyboard and scene outline to a rendered 16:9 MP4 with a thumbnail. It sets scene-planning and render conventions, such as progressive reveal and low-quality smoke tests first, and ships a reusable network-graph scene script as a starting point. It also recommends handing off to other video tools for final polish or compositing.
When to use it
Use it when the user wants a precise technical explainer animation rather than a generic talking-head video, especially for graphs, workflows, architecture, metric progressions, or system diagrams. It also fits short product or launch explainers where clarity and structure matter more than photorealism.
Requirements
Needs the manim CLI for rendering and ffmpeg for post-processing; it references other video skills for final assembly or compositing. It ships an executable starter script at assets/network_graph_scene.py.

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

  1. Define the core visual thesis in one sentence.
  2. Break the concept into 3 to 6 scenes.
  3. Decide what each scene proves.
  4. Write the scene outline before writing Manim code.
  5. Render the smallest working version first.
  6. Tighten typography, spacing, color, and pacing after the render works.
  7. 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 [blocked] as a starting point for network-graph explainers.

Example smoke test:

bash
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

Source and attribution

Source:affaan-m/ECCinskills/manim-videoat commitef648e0

License: No license

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