devtools

claude-code-video-toolkit: AI Video Production

Name: claude-code-video-toolkit: AI Video Production
Author: digitalsamba

Produce videos with AI using claude-code-video-toolkit, a Python-based tool.

1,809 stars299 forksPythonGuide quality 8/10Updated 7/6/2026100% free · open source

What it does

The Claude Code Video Toolkit is an AI-native video production tool for generating videos using Claude Code, allowing for automated video creation with Python.

When to use it

•When you need to automate video production for social media or marketing campaigns
•When creating explainer videos or tutorials with dynamic content
•When you want to integrate video generation into your existing Python applications

Ready-to-paste prompt

video_gen.generate_video('intro.ccode', 'intro.mp4', resolution=(1080, 720), framerate=30)

Heads up: You need a valid Claude Code API key to use the toolkit, which must be obtained from the Claude Code platform and used to initialize the VideoGenerator

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/claude-code-video-toolkit && curl -fsSL https://workflowstacks.com/api/skills/claude-code-video-toolkit/claude-skill -o ~/.claude/skills/claude-code-video-toolkit/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 claude-code-video-toolkit: AI Video Production works

Codeflow

Free to inspect

Claude-code-video-toolkit: AI Video Production is a large Python project (~42k lines across 250 code files, plus 4 test files). Setup is light: installs like a normal app — add your API keys. Reading the code is optional. Last commit this month, MIT license, has a test suite.

Size

Large codebase

~42k lines · 250 code files · ~6 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 62%TypeScript 34%JavaScript 2%Dockerfile 2%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
lib/index.ts
Where the program starts running
4
pyproject.toml
Dependencies and the commands it exposes
5
.env.example
The API keys and settings you must provide

What's in each folder

lib/Core code — the actual logic31 files

skills/Prompts, skills & agent definitions1 files

examples/Examples you can copy123 files

templates/Templates115 files

docs/Documentation15 files

docker/Deployment / infrastructure32 files

tools/Helper scripts29 files

showcase/Folder18 files

READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month