ai-agent

KimiK3Manim

Name: KimiK3Manim
Author: HarleyCoops

Create epic math and physics explainer animations with Kimi K3.

140 stars20 forksPythonUpdated 7/29/2026100% free · open source

What it does

KimiK3Manim creates epic math and physics explainer animations using Python and the Manim library

When to use it

•Explaining complex mathematical concepts to a non-technical audience
•Creating engaging physics tutorials for students
•Developing interactive animations for math and science educational content

Ready-to-paste prompt

manim -p -ql example_scene.py Scene

Heads up: Make sure you have the latest version of Python and the Manim library installed, as well as the necessary dependencies, such as ffmpeg, to render animations successfully

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/kimik3manim && curl -fsSL https://workflowstacks.com/api/skills/kimik3manim/claude-skill -o ~/.claude/skills/kimik3manim/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How KimiK3Manim works

Codeflow

Free to inspect

KimiK3Manim is a large Python project (~24k lines across 98 code files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit a month ago, MIT license, has a test suite.

Size

Large codebase

~24k lines · 98 code files · ~3 h to skim

Setup

One-command install

Installs like a normal app — add your API keys. Reading the code is optional.

Runs on

Python

Needs API keys (.env)

Python 97%TeX 2%Shell 1%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
CLAUDE.md
The instructions the AI actually follows
3
pyproject.toml
Dependencies and the commands it exposes
4
.env.template
The API keys and settings you must provide
5
agents/__init__.py
Inside agents/ — an example of what the AI is told to do

What's in each folder

agents/Prompts, skills & agent definitions3 files

prompts/Prompts, skills & agent definitions1 files

skills/Prompts, skills & agent definitions1 files

docs/Documentation17 files

examples/Examples you can copy4 files

environments/Folder22 files

e2b_sandbox/Folder17 files

manim_scenes/Folder15 files

READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated 1 mo ago