manim▌
davila7/claude-code-templates · updated May 31, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Comprehensive skill set for creating mathematical animations using Manim Community, a Python framework for creating explanatory math videos programmatically, popularized by 3Blue1Brown.
Manim Community - Mathematical Animation Engine
Comprehensive skill set for creating mathematical animations using Manim Community, a Python framework for creating explanatory math videos programmatically, popularized by 3Blue1Brown.
When to use
Use this skill whenever you are dealing with Manim code to obtain domain-specific knowledge about:
- Creating mathematical animations and visualizations
- Building educational video content programmatically
- Working with geometric shapes and transformations
- Animating LaTeX equations and mathematical formulas
- Creating graphs, charts, and coordinate systems
- Implementing scene-based animation sequences
- Rendering high-quality mathematical diagrams
- Building explanatory visual content for teaching
Core Concepts
Manim allows you to create animations using:
- Scenes: Canvas for your animations where you orchestrate mobjects
- Mobjects: Mathematical objects that can be displayed (shapes, text, equations)
- Animations: Transformations applied to mobjects (Write, Create, Transform, FadeIn)
- Transforms: Morphing between different states of mobjects
- LaTeX Integration: Native support for rendering mathematical notation
- Python Simplicity: Use Python to programmatically specify animation behavior
Key Features
- Precise mathematical object positioning and transformations
- Native LaTeX rendering for equations and formulas
- Extensive shape library (circles, rectangles, arrows, polygons)
- Coordinate systems and function graphing
- Boolean operations on geometric shapes
- Camera controls and scene management
- High-quality video rendering
- IPython/Jupyter notebook integration
- VS Code extension with live preview
How to use
Read individual rule files for detailed explanations and code examples:
Core Concepts
- references/scenes.md - Creating scenes and organizing animations
- references/mobjects.md - Understanding mathematical objects and shapes
- references/animations.md - Core animation types and techniques
- references/latex.md - Rendering LaTeX equations and formulas
For additional topics including transforms, timing, shapes, coordinate systems, 3D animations, camera movement, and advanced features, refer to the comprehensive Manim Community documentation.
Quick Start Example
from manim import *
class SquareToCircle(Scene):
def construct(self):
# Create a square
square = Square()
square.set_fill(BLUE, opacity=0.5)
# Create a circle
circle = Circle()
circle.set_fill(RED, opacity=0.5)
# Animate square creation
self.play(Create(square))
self.wait(1)
# Transform square into circle
self.play(Transform(square, circle))
self.wait(1)
# Fade out
self.play(FadeOut(square))
Render with: manim -pql script.py SquareToCircle
Best Practices
- Inherit from Scene - All animations should be in a class inheriting from Scene
- Use construct() method - Place all animation code inside the construct() method
- Think in layers - Add mobjects to the scene before animating them
- Use self.play() - Animate mobjects using self.play(Animation(...))
- Test with low quality - Use
-qlflag for faster preview renders - Leverage LaTeX - Use Tex() and MathTex() for mathematical notation
- Group related objects - Use VGroup to manage multiple mobjects together
- Preview frequently - Use
-pflag to automatically open rendered videos
Command Line Usage
# Preview at low quality (fast)
manim -pql script.py SceneName
# Render at high quality
manim -pqh script.py SceneName
# Save last frame as image
manim -s script.py SceneName
# Render multiple scenes
manim script.py Scene1 Scene2
Resources
- Documentation: https://docs.manim.community/
- Repository: https://github.com/ManimCommunity/manim
- Examples Gallery: https://docs.manim.community/en/stable/examples.html
- Discord Community: https://www.manim.community/discord/
- 3Blue1Brown Channel: https://www.youtube.com/c/3blue1brown
- License: MIT
How to use manim 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
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches manim from GitHub repository davila7/claude-code-templates 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. Access the skill through slash commands (e.g., /manim) 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
4.6★★★★★30 reviews- ★★★★★Mateo Sethi· Dec 28, 2024
Solid pick for teams standardizing on skills: manim is focused, and the summary matches what you get after install.
- ★★★★★Zaid Jackson· Nov 19, 2024
I recommend manim for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Yash Thakker· Nov 3, 2024
Useful defaults in manim — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Oct 22, 2024
Registry listing for manim matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Anika Gonzalez· Oct 10, 2024
Keeps context tight: manim is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Oshnikdeep· Sep 25, 2024
Keeps context tight: manim is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Min Thompson· Sep 17, 2024
We added manim from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Aisha Khanna· Sep 13, 2024
Solid pick for teams standardizing on skills: manim is focused, and the summary matches what you get after install.
- ★★★★★Meera Iyer· Sep 9, 2024
Useful defaults in manim — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Anika Ghosh· Aug 28, 2024
Registry listing for manim matched our evaluation — installs cleanly and behaves as described in the markdown.
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