Manim Skills is a collection of agent instructions, examples, and practices for creating mathematical animations with Manim Community Edition or ManimGL, the animation framework associated with 3Blue1Brown. It helps agents produce educational and mathematical videos while accounting for the two incompatible Manim variants; the catalogue skills provide those workflows.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add adithya-s-k/manim_skill --skill manimgl-best-practicesgit clone --depth 1 https://github.com/adithya-s-k/manim_skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/adithya-s-k/manim_skill/manimgl-best-practices)<a href="https://agentmods.dev/skills/adithya-s-k/manim_skill/manimgl-best-practices"><img src="https://agentmods.dev/badge/skills/adithya-s-k/manim_skill/manimgl-best-practices/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/adithya-s-k/manim_skill/manimgl-best-practices"><img src="https://agentmods.dev/badge/skills/adithya-s-k/manim_skill/manimgl-best-practices.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00167 | $0.02005 |
| Opus 5.5 | $0.00067 | $0.00802 |
| Sonnet 5.5 | $0.00033 | $0.00401 |
| Haiku 4.5 | $0.00017 | $0.00200 |
Grade A, and why
manimgl-best-practices scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 216 lines — stays where its author put it; the contents beside it link to each section on GitHub.
How to use
Read individual rule files for detailed explanations and code examples:
Core Concepts
- rules/scenes.md - InteractiveScene, Scene types, and construct method
- rules/mobjects.md - Mobject types, VMobject, Groups, and positioning
- rules/animations.md - Animation classes, playing animations, and timing
Creation & Transformation
- rules/creation-animations.md - ShowCreation, Write, FadeIn, DrawBorderThenFill
- rules/transform-animations.md - Transform, ReplacementTransform, TransformMatchingTex
- rules/animation-groups.md - LaggedStart, Succession, AnimationGroup
Text & Math
- rules/tex.md - Tex class, raw strings R"...", and LaTeX rendering
- rules/text.md - Text mobjects, fonts, and styling
- rules/t2c.md - tex_to_color_map (t2c) for coloring math expressions
Styling & Appearance
- rules/colors.md - Color constants, gradients, RGB, hex, GLSL coloring
- rules/styling.md - Fill, stroke, opacity, backstroke, gloss, shadow
3D & Camera
- rules/3d.md - 3D objects, surfaces, Sphere, Torus, parametric surfaces, lighting
- rules/camera.md - frame.reorient(), Euler angles, fix_in_frame(), camera animations
Interactive Development
- rules/interactive.md - Interactive mode with
-seflag, checkpoint_paste() - rules/frame.md - self.frame, camera control, reorient, and zooming
- rules/embedding.md - self.embed() for IPython debugging, touch() mode
Configuration & CLI
- rules/cli.md - manimgl command, flags (-w, -o, -se, -l, -h), rendering options
- rules/config.md - custom_config.yml, directories, camera settings, quality presets
Working Examples
Complete, tested example files demonstrating common patterns:
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/attention_arcs_animation.py 8.1 KB runs code
- examples/attention_pattern_dots.py 4.3 KB runs code
- examples/attention_scenes.py 34 KB runs code
- examples/attention_softmax_masking.py 3.7 KB runs code
- examples/autoregressive_flow.py 7.0 KB runs code
- examples/basic_multihead.py 5.0 KB runs code
- examples/bloch_sphere_3d.py 6.9 KB runs code
- examples/block_collision_basic.py 5.4 KB runs code
- examples/blocks_3d.py 7.2 KB runs code
- examples/collision_phase_space.py 10 KB runs code
- examples/complex_s_plane.py 9.8 KB runs code
- examples/cost_function.py 3.9 KB runs code
- examples/cube_projection_3d.py 6.3 KB runs code
- examples/damped_solutions_splane.py 9.2 KB runs code
- examples/dot_product_visualization.py 5.5 KB runs code
- examples/double_slit_interference.py 11 KB runs code
- examples/eigenvalue_equations.py 7.2 KB runs code
- examples/eigenvector_flow_field.py 6.5 KB runs code
- examples/eigenvector_matrix_transformation.py 6.2 KB runs code
- examples/elastic_collision_vectors.py 10 KB runs code
- examples/embedding_matrix.py 5.5 KB runs code
- examples/equation_transforms.py 10.0 KB runs code
- examples/exponential_derivative.py 8.2 KB runs code
- examples/fibonacci_eigenvalues.py 5.9 KB runs code
- examples/gradient_descent_basic.py 6.8 KB runs code
- examples/hexagon_cube_correspondence.py 2.8 KB runs code
- examples/integration_visualization.py 6.9 KB runs code
- examples/laplace_integral.py 9.3 KB runs code
- examples/light_polarization.py 11 KB runs code
- examples/linear_regression.py 3.8 KB runs code
- examples/llm_prediction_pipeline.py 9.3 KB runs code
- examples/lorenz_attractor.py 5.3 KB runs code
- examples/lozenge_tiling.py 3.2 KB runs code
- examples/max_random_process.py 5.8 KB runs code
- examples/mlp_forward_pass.py 8.7 KB runs code
- examples/mlp_network_icon.py 3.2 KB runs code
- examples/mlp_neuron_activation.py 7.7 KB runs code
- examples/mlp_neurons_flow.py 10 KB runs code
- examples/mlp_relu_visualization.py 5.3 KB runs code
- examples/mlp_vector_space.py 8.6 KB runs code
- examples/mlp_weight_matrix.py 8.5 KB runs code
- examples/multi_head_attention.py 8.3 KB runs code
- examples/network_block_flow.py 8.4 KB runs code
- examples/neural_network_basic.py 4.3 KB runs code
- examples/parallax_starfield.py 6.3 KB runs code
- examples/probability_distribution.py 12 KB runs code
- examples/probability_output.py 12 KB runs code
- examples/quantum_gates.py 8.7 KB runs code
- examples/qubit_state_vector.py 6.0 KB runs code
- examples/query_key_dot_products.py 4.2 KB runs code
- examples/query_key_space_mapping.py 6.3 KB runs code
- examples/radial_wave_visualization.py 7.6 KB runs code
- examples/rotating_exponentials.py 9.3 KB runs code
- examples/semantic_similarity.py 5.8 KB runs code
- examples/simple_test.py 1.8 KB runs code
- examples/softmax_visualization.py 4.8 KB runs code
- examples/solve_damped_ode.py 9.1 KB runs code
- examples/spring_mass_system.py 9.6 KB runs code
- examples/sqrt_random_process.py 4.8 KB runs code
- examples/superposition_effect.py 9.0 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 216 lines · 167 tokens per session scan A acb89023c69f
manimgl-best-practices is a skill published in the GitHub repository adithya-s-k/manim_skill (1,268 stars, last pushed 9mo ago), licensed MIT. It adds 167 tokens to every session and 2,005 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
manimgl-best-practices compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| manimgl-best-practicesadithya-s-k/manim_skill | Skill | 1.3k | 9mo ago | MIT | A | 167 | Claude Code, Codex |
| instrument-data-to-allotropeanthropics/knowledge-work-plugins | Skill | 35k | 2d ago | Apache-2.0 | A | 123 | Claude Code |
| exploratory-data-analysisK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 83 | Claude Code |
| matlabK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 44 | Claude Code |
| phylogeneticsK-Dense-AI/scientific-agent-skills | Skill | 56k | 4d ago | MIT | A | 71 | Claude Code, Codex |
| research-engineerdavila7/claude-code-templates | Skill | 33k | yesterday | MIT | A | 43 | Claude Code, Codex |
| mapping-to-snomedmaziyarpanahi/openmed | Skill | 5.8k | yesterday | Apache-2.0 | A | 205 | Claude Code |