REPOGEO REPORT · LITE

adithya-s-k/manim_skill

Default branch main · commit cef04501 · scanned 6/2/2026, 4:48:29 PM

GitHub: 892 stars · 72 forks

AI VISIBILITY SCORE

33 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

2 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface adithya-s-k/manim_skill, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the README's opening to clearly state its purpose as AI agent skills for Manim

Why:

CURRENT

# Manim Skills Repository

> **⚡ Quick Start:** Add both Manim skills to your AI agent instantly:
> ```bash
npx skills add adithya-s-k/manim_skill
```

A comprehensive collection of best practices, patterns, and examples for both **Manim Community Edition** and **ManimGL** (3Blue1Brown's version). This repository provides battle-tested code examples and guidelines for creating mathematical animations.

COPY-PASTE FIX

# Manim Agent Skills Repository

> **⚡ Quick Start:** Add both Manim skills to your AI agent instantly:
> ```bash
npx skills add adithya-s-k/manim_skill
```

This repository provides **pre-built skills and battle-tested code examples specifically designed to equip AI agents** with the ability to generate sophisticated mathematical animations using both **Manim Community Edition** and **ManimGL** (3Blue1Brown's version). Empower your AI assistant to create stunning 3Blue1Brown-style visualizations programmatically.

mediumtopics#2
Expand repository topics to include more specific AI agent and Manim terms
Why:
CURRENT
```
agent-skills
```
COPY-PASTE FIX
```
agent-skills, ai-agents, manim, mathematical-animations, ai-skills, generative-ai, 3blue1brown
```

lowabout#3

Refine the repository description to explicitly mention AI assistants

Why:

CURRENT

Agent skills for Manim to create 3Blue1Brown style animations.

COPY-PASTE FIX

Pre-built agent skills for AI assistants to programmatically generate sophisticated 3Blue1Brown-style mathematical animations using Manim.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface adithya-s-k/manim_skill

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Manim

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Manim · recommended 1×
Processing · recommended 1×
P5.js · recommended 1×
Matplotlib · recommended 1×
Three.js · recommended 1×

CATEGORY QUERY
What frameworks are available for programmatically generating sophisticated mathematical animations?
you: not recommended
AI recommended (in order):
1. Manim
2. Processing
3. P5.js
4. Matplotlib
5. Three.js
6. OpenGL
AI recommended 6 alternatives but never named adithya-s-k/manim_skill. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I equip an AI assistant to generate complex mathematical visualizations effectively?
you: not recommended
AI recommended (in order):
1. Matplotlib (matplotlib/matplotlib)
2. NumPy (numpy/numpy)
3. SciPy (scipy/scipy)
4. Plotly (plotly/plotly.py)
5. SymPy (sympy/sympy)
6. Mayavi (enthought/mayavi)
7. Manim (ManimCommunity/manim)
8. Gnuplot
9. gnuplot-py (gnuplot-py/gnuplot-py)
AI recommended 9 alternatives but never named adithya-s-k/manim_skill. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of adithya-s-k/manim_skill?
pass
AI named adithya-s-k/manim_skill explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts adithya-s-k/manim_skill in production, what risks or prerequisites should they evaluate first?
pass
AI named adithya-s-k/manim_skill explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo adithya-s-k/manim_skill solve, and who is the primary audience?
pass
AI did not name adithya-s-k/manim_skill — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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adithya-s-k/manim_skill — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite