manim-composer▌
adithya-s-k/manim_skill · updated May 6, 2026
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Plan educational math and science videos scene-by-scene before implementing with Manim.
- ›Conducts topic research and asks clarifying questions about audience, video length, depth, and style preferences to shape the narrative
- ›Outputs a comprehensive scenes.md file specifying each scene's purpose, visual elements, animations, narration, and technical implementation notes
- ›Applies 3Blue1Brown principles including progressive revelation, visual continuity, pacing variation, and mathematica
Workflow
Phase 1: Understand the Concept
-
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
-
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
How to use manim-composer on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add manim-composer
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches manim-composer from GitHub repository adithya-s-k/manim_skill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate manim-composer. Access the skill through slash commands (e.g., /manim-composer) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★39 reviews- ★★★★★Yusuf Kim· Dec 8, 2024
I recommend manim-composer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Sakura Kim· Nov 27, 2024
Keeps context tight: manim-composer is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Rahul Santra· Nov 11, 2024
manim-composer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Meera Wang· Nov 7, 2024
manim-composer has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Naina Shah· Oct 26, 2024
Solid pick for teams standardizing on skills: manim-composer is focused, and the summary matches what you get after install.
- ★★★★★Sakura Mensah· Oct 18, 2024
manim-composer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Pratham Ware· Oct 2, 2024
Solid pick for teams standardizing on skills: manim-composer is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Sep 17, 2024
I recommend manim-composer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Diego Sethi· Sep 13, 2024
I recommend manim-composer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Meera Brown· Sep 9, 2024
Keeps context tight: manim-composer is the kind of skill you can hand to a new teammate without a long onboarding doc.
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