ai-agent

AutoClip: AI Video Editing

Get AI-powered video clipping and highlights with AutoClip, a tool.
978 stars173 forksPythonGuide quality 8/10Updated 9/15/2025100% free · open source
What it does

AutoClip is an AI-powered tool that automatically clips and generates highlights from videos, allowing founders to easily create engaging content.

When to use it
  • When creating social media clips from long-form video content
  • When generating highlights from webinar or conference recordings
  • When automating video editing tasks to save time and resources
Ready-to-paste prompt
Run `python autoclip.py --input video.mp4 --output highlights.mp4 --model default` to clip a video file named `video.mp4` and save the highlights to `highlights.mp4`
Heads up: Make sure you have the necessary Python version (3.8 or later) and the required dependencies installed, as specified in the `requirements.txt` file, to avoid compatibility issues
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/autoclip-mvp && curl -fsSL https://workflowstacks.com/api/skills/autoclip-mvp/claude-skill -o ~/.claude/skills/autoclip-mvp/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 AutoClip: AI Video Editing works
Codeflow
Free to inspect

AutoClip: AI Video Editing is a large Python project (~16k lines across 58 code files, plus 3 test files). Setup is light: runs with Docker — add your API keys to .env. Last commit 12 months ago, MIT license, has a test suite.

Size
Large codebase
~16k lines · 58 code files · ~2 h to skim
Setup
Light setup
Runs with Docker — add your API keys to .env.
Runs on
Python · Docker
Needs API keys (.env)
Python 52%TypeScript 39%CSS 6%Shell 2%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    main.py
    Where the program starts running
  3. 3
    requirements.txt
    Dependencies and the commands it exposes
  4. 4
    env.example
    The API keys and settings you must provide
What's in each folder
prompt/Prompts, skills & agent definitions40 files
src/Core code — the actual logic24 files
frontend/Frontend / UI41 files
data/Data files3 files
.github/CI / automation (GitHub Actions)8 files
assets/Images & static assets4 files
tests/Tests — proof it works3 files
READMEHas testsDocumentedCI checksDocker readyMIT licenseLast update 12 mo ago
Quick Actions
Details
Creator
zhouxiaoka
Language
Python
Category
ai-agent
Published
7/10/2025

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