agentleFS
adithya-s-kadithya-s-k/manim_skill/skills/manim-composer/SKILL.md

manim-composer

Skill1.1k starsChanged 10 months agoMITView on GitHub

Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization.

We split this skill into the rules it gives an agent

5 rules. 5 are common, 0 are distinctive, and 0 are very specific to this project.

  • 5

    Common

    Most of the 3 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Use web search to understand the core concepts

    line 16
  2. Common:

    Ask targeted questions (not all at once - adapt based on responses):

    line 28
  3. Common:

    Should this be self-contained or part of a series?

    line 33
  4. Common:

    Show, don't just tell: - Every concept needs a visual representation

    line 111
  5. Common:

    Embrace abstraction gradually: - Start concrete, then generalize

    line 123

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Workflow

Phase 1: Understand the Concept

  1. Research the topic deeply before asking questions
    • Use web search to understand the core concepts
    • Identify the key insights that make this topic interesting
    • Find the "aha moment" - what makes this click for learners
    • Note common misconceptions to address
  2. Identify the narrative hook
    • What question does this video answer?
    • Why should the viewer care?
    • What's the surprising or counterintuitive element?

Phase 2: Clarify with User

Ask targeted questions (not all at once - adapt based on responses):

Audience & Scope

  • What math/science background should I assume? (e.g., "knows calculus" or "high school algebra")
  • Target video length? (short: 5-10min, medium: 15-20min, long: 30min+)
  • Should this be self-contained or part of a series?

Focus & Depth

  • Any specific aspects to emphasize or skip?
  • Proof-heavy or intuition-focused?
  • Real-world applications to include?

Style Preferences

  • Color scheme preferences?
  • Narration style? (casual, formal, playful)
  • Any specific visual metaphors you have in mind?

Phase 3: Create scenes.md

Output a comprehensive scenes.md file with this structure:

# [Video Title]

## Overview
- **Topic**: [Core concept]
- **Hook**: [Opening question/mystery]
- **Target Audience**: [Prerequisites]
- **Estimated Length**: [X minutes]
- **Key Insight**: [The "aha moment"]

## Narrative Arc
[2-3 sentences describing the journey from confusion to understanding]

---

## Scene 1: [Scene Name]
**Duration**: ~X seconds
**Purpose**: [What this scene accomplishes]

### Visual Elements
- [List of mobjects needed]
- [Animations to use]
- [Camera movements]

### Content
[Detailed description of what happens, what's shown, what's explained]

### Narration Notes
[Key points to convey, tone, pacing notes]

### Technical Notes
- [Specific Manim classes/methods to use]
- [Any tricky implementations to note]

---

## Scene 2: [Scene Name]
...

---

## Transitions & Flow
[Notes on how scenes connect, recurring visual motifs]

## Color Palette
- Primary: [color] - used for [purpose]
- Secondary: [color] - used for [purpose]
- Accent: [color] - used for [purpose]
- Background: [color]

## Mathematical Content
[List of equations, formulas, or mathematical objects that need to be rendered]

## Implementation Order
[Suggested order for implementing scenes, noting dependencies]

3b1b Style Principles

Apply these principles when composing scenes:

Visual Storytelling

  • Show, don't just tell - Every concept needs a visual representation
  • Progressive revelation - Build complexity gradually, don't show everything at once
  • Visual continuity - Transform objects rather than replacing them when possible

Pacing & Rhythm

  • Pause for insight - Give viewers time to absorb key moments
  • Vary the pace - Mix quick sequences with slower explanations
  • End scenes with resolution - Each scene should feel complete

Mathematical Beauty

  • Emphasize elegance - Highlight when math is surprisingly simple or beautiful
  • Connect representations - Show the same concept multiple ways (algebraic, geometric, intuitive)
  • Embrace abstraction gradually - Start concrete, then generalize

Engagement Techniques

  • Pose questions - Make viewers curious before revealing answers
  • Acknowledge difficulty - "This might seem confusing at first..."
  • Celebrate insight - Make the "aha moment" feel earned

References

  • references/narrative-patterns.md - Common 3b1b narrative structures
  • references/visual-techniques.md - Effective visualization patterns
  • references/scene-examples.md - Example scenes.md excerpts

Templates

  • templates/scenes-template.md - Blank scenes.md template

Download now (ZIP)

Trending

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Aug 30: 0 new projectsWeek of Sep 6: 0 new projectsWeek of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projects
Aug 2026Sep 2026Oct 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Who's talking about adithya-s-k/manim_skill

The biggest 5 of 7 mentions linking to the repository that our crawl found. Each line is their own headline.

See all 7

Talked about on GitHub and Hacker News (7 times).

On GitHub · 6

1 more on GitHub
  • Other versions5 projects use a version of this.

    Word for word · 2

    1. calesthio/OpenMontage★ 74k100% same
    2. LinHao-city/StoryMind★ 10100% same

    Wrote their own version · 0

    None found.

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository2 other files it gives its agents.

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