ai-agent

AutoClip – AI‑driven video clipping and highlight creation for founders

AutoClip lets founders quickly generate concise video clips and highlights with AI, streamlining content repurposing for marketing and demos. Powered by Python, it’s ideal for teams needing fast, automated video editing.

From the repo · “AutoClip: AI-powered video clipping and highlight generation · 一款智能高光提取与剪辑的二创工具”

1,165 stars+11★ this week204 forksPythonGuide quality 9/10 · reviewed Oct 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

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🔑 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
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Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

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How AutoClip – AI‑driven video clipping and highlight creation for founders works
Codeflow
Free to inspect

AutoClip – AI‑driven video clipping and highlight creation for founders 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 13 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 13 mo ago
Quick Actions
Details
Creator
zhouxiaoka
Language
Python
Category
ai-agent
Published
7/10/2025

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Featured on WorkflowStacks
[![Featured on WorkflowStacks](https://workflowstacks.com/api/badge/autoclip-mvp.svg)](https://workflowstacks.com/skills/autoclip-mvp?utm_source=github&utm_medium=badge)
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