Manim Video

affaan-m/ECC/skills/manim-video

作者 affaan-mef648e01899ba3e8dc6371642deaaf64b4477775無授權條款275K 個星標收錄於 2026年10月9日更新於 2026年10月9日儲存庫4 天前更新

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.

包含腳本Design & Creative
AI 產生的概覽

使用 Manim 製作技術概念、圖表與系統示意圖的動畫解說影片。

功能
引導製作簡短的 Manim 解說動畫:從一句話視覺主軸,到 3 至 6 個場景的故事板與場景大綱,再到算繪出 16:9 的 MP4 與一張縮圖。它訂定場景規劃與算繪慣例,例如漸進式呈現、先做低品質試算繪,並附上一個可重複使用的網路圖場景腳本作為起點。它也建議在需要最終潤飾或合成時交給其他影片工具。
適用情境
當使用者需要精確的技術解說動畫而非一般真人講解影片時使用,特別適合圖表、工作流程、架構、指標演進或系統示意圖。也適用於清晰度與結構比寫實感更重要的簡短產品或發布解說影片。
執行需求
需要 manim 命令列工具進行算繪,需要 ffmpeg 進行後製;並引用其他影片技能來完成最終合成或潤飾。附有一個可執行起始腳本 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

來源與署名

來源:affaan-m/ECC位於skills/manim-video提交ef648e0

授權條款: 無授權條款

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