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Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` CLI).
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查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
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Add a new expert to the Remotion experts page
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Add a new sound effect to @remotion/sfx
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Use when setting up a secure email inbox for any AI agent — configuring inbound email via Resend, webhooks, tunneling for local development, and implementing security measures to prevent prompt injection attacks. Also use when someone mentions 'agent email', 'bot inbox', 'receive emails for agent', 'agent webhook', 'email security for AI', 'prompt injection via email', 'inbound email for bot', or wants their AI agent to receive and respond to emails securely.
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Builds, measures, and improves an Answer Engine Optimization program across ChatGPT, Perplexity, Claude, Gemini, Google AI Overviews, and Copilot. Use for AEO, GEO, LLMO, AI search visibility, AI citations, brand mentions, answer-engine monitoring, llms.txt, AI crawler audits, or questions like 'what does AI say about us?' and 'why are competitors cited instead of us?'. Produces a durable evidence report and prioritized gameplan, not a one-shot content checklist.
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Generate Apple App Store screenshot pages as a Next.js app with html-to-image export at required resolutions. Screenshots are advertisements, not documentation — every screenshot sells one idea. Use when building App Store screenshots, generating exportable marketing screenshots for iOS apps, or creating programmatic screenshot generators. Triggers on 'app store screenshots', 'App Store', 'screenshot generator', 'iOS screenshots', 'marketing screenshots', 'phone mockup', 'ASO screenshots', 'app store assets', 'app listing', 'app store page', or 'app preview images'. Also use when someone is about to submit an app and needs store assets, or when they say 'make my app store page look good'. Includes iPhone and iPad mockup components with pre-measured dimensions.
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Build detailed buyer personas and audience profiles from research. Use this skill whenever the user mentions audience, buyer persona, ideal customer, target market, ICP, watering holes, 'who am I selling to', customer research, or audience profile. Also use when content feels unfocused or generic (that's an audience problem), when conversion is low because messaging doesn't resonate, when starting any new project (audience should be first), or when any downstream skill needs audience.md but it doesn't exist yet. Even if the user doesn't explicitly ask for audience research, trigger this if they're writing copy or building a landing page without a clear audience defined. Three approaches: Quick Profile, Persona Build, Community Mining.
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