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Skills/affaan-m/ecc/manim-video
manim-video logo

manim-video

affaan-m/ecc
688 installs217K stars
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Installation

npx skills add https://github.com/affaan-m/ecc --skill manim-video

Summary

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.

SKILL.md

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 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

Score

0–100
65/ 100

Grade

C

Popularity17/30

688 installs — growing adoption. Source repo has 216,561 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Manim Video skill score badge previewScore badge

Markdown

[![Manim Video skill](https://www.remoteopenclaw.com/skills/affaan-m/ecc/manim-video/badges/score.svg)](https://www.remoteopenclaw.com/skills/affaan-m/ecc/manim-video)

HTML

<a href="https://www.remoteopenclaw.com/skills/affaan-m/ecc/manim-video"><img src="https://www.remoteopenclaw.com/skills/affaan-m/ecc/manim-video/badges/score.svg" alt="Manim Video skill"/></a>

Manim Video FAQ

How do I install the Manim Video skill?

Run “npx skills add https://github.com/affaan-m/ecc --skill manim-video” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Manim Video skill do?

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. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Manim Video skill free?

Yes. Manim Video is a free, open-source skill published from affaan-m/ecc. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Manim Video work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Manim Video works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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