ManimGL best practices and patterns for 3Blue1Brown's OpenGL-based animation engine.
Works with
Covers InteractiveScene, Tex with LaTeX rendering, camera frame control, and 3D scene setup with lighting and surfaces
Interactive development workflow with -se flag for checkpoint-based iteration and self.embed() for debugging
Comprehensive rule files for animations, mobjects, text styling, colors, 3D rendering, and CLI configuration
Includes working examples and scene templates for basic 2D, mat
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionmanimgl-best-practicesExecute the skills CLI command in your project's root directory to begin installation:
Fetches manimgl-best-practices from adithya-s-k/manim_skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate manimgl-best-practices. Access via /manimgl-best-practices in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Read individual rule files for detailed explanations and code examples:
-se flag, checkpoint_paste()Complete, tested example files demonstrating common patterns:
Copy and modify these templates to start new projects:
from manimlib import *
class MyScene(InteractiveScene):
def construct(self):
# Create mobjects
circle = Circle()
# Add to scene (static)
self.add(circle)
# Or animate
self.play(ShowCreation(circle)) # Note: ShowCreation, not Create
# Wait
self.wait(1)
# Render and preview
manimgl scene.py MyScene
# Interactive mode - drop into shell at line 15
manimgl scene.py MyScene -se 15
# Write to file
manimgl scene.py MyScene -w
# Low quality for testing
manimgl scene.py MyScene -l
| Feature | ManimGL (3b1b) | Manim Community |
|---|---|---|
| Import | from manimlib import * |
from manim import * |
| CLI | manimgl |
manim |
| Math text | Tex(R"\pi") |
MathTex(r"\pi") |
| Scene | InteractiveScene |
Scene |
| Create anim | ShowCreation |
Create |
| Camera | self.frame |
self.camera.frame |
| Fix in frame | mob.fix_in_frame() |
self.add_fixed_in_frame_mobjects(mob) |
| Package | manimgl (PyPI) |
manim (PyPI) |
ManimGL's killer feature is interactive development:
# Start at line 20 with state preserved
manimgl scene.py MyScene -se 20
In interactive mode:
# Copy code to clipboard, then run:
checkpoint_paste() # Run with animations
checkpoint_paste(skip=True) # Run instantly (no animations)
checkpoint_paste(record=True) # Record while running
# Get the camera frame
frame = self.frame
# Reorient in 3D (phi, theta, gamma, center, height)
frame.reorient(45, -30, 0, ORIGIN, 8)
# Animate camera movement
self.play(frame.animate.reorient(60, -45, 0))
# Fix mobjects to stay in screen space during 3D movement
title.fix_in_frame()
# Use raw strings with capital R
formula = Tex(R"\int_0^1 x^2 \, dx = \frac{1}{3}")
# Color mapping with t2c
equation = Tex(
R"E = mc^2",
t2c={"E": BLUE, "m": GREEN, "c": YELLOW}
)
# Isolate substrings for animation
formula = Tex(R"\sum_{n=1}^{\infty} \frac{1}{n^2} = \frac{\pi^2}{6}")
formula.set_color_by_tex("n", BLUE)
def construct(self):
circle = Circle()
self.play(ShowCreation(circle))
self.embed() # Drops into IPython shell here
self.set_floor_plane("xz") # Makes xy the viewing plane
text = Text("Label")
text.set_backstroke(BLACK, 5) # Black outline behind text
# Install ManimGL
pip install manimgl
# Check installation
manimgl --version
manimgl, not manim (community version)ShowCreation, not CreateTex with capital R raw stringsself.frame directly-se flag for interactive developmentThis skill contains example code adapted from 3Blue1Brown's video repository by Grant Sanderson.
License: CC BY-NC-SA 4.0
See LICENSE.txt for full details.
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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Registry listing for manimgl-best-practices matched our evaluation — installs cleanly and behaves as described in the markdown.
Registry listing for manimgl-best-practices matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: manimgl-best-practices is focused, and the summary matches what you get after install.
Keeps context tight: manimgl-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
manimgl-best-practices reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: manimgl-best-practices is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: manimgl-best-practices is focused, and the summary matches what you get after install.
We added manimgl-best-practices from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in manimgl-best-practices — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
manimgl-best-practices is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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