OpenClip skill
A skill that pulls highlights from a long video: download, transcript, segmentation, analysis and clips with titles
- 579 ★ on the repository
- Last commit
- MIT
Extended access
Why this level
- Downloads video and runs ffmpeg and a Python pipeline
- Reaches an LLM provider over the network with a key
Install
- Works in
Manual install
npx skills add https://github.com/linzzzzzz/openclip --skill video-clip-extractorInstalls the video-clip-extractor skill. Requires ffmpeg and uv.
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Downloads video and runs ffmpeg and a Python pipeline
- Reaches an LLM provider over the network with a key
This is third-party code. Review the repository files before installing.
What it does
The skill runs a pipeline that finds and cuts the best moments from long videos and stream recordings. From a URL or a local file it downloads the video, transcribes it, splits the transcript, analyzes the content with a model and assembles clips with titles and covers. It offers clip-length presets, a deep boundary-optimization mode, subtitle burn-in with translation and a user-intent hint to prioritize a topic. It works with Qwen, GLM, MiniMax, OpenRouter and a custom OpenAI-compatible endpoint.
Who it is for. For creators, editors and social media managers who need short clips from long videos and streams.
Good fit when
- You need highlights cut from a long video or a stream recording
- You need short clips with titles and covers for social media
- You want fragments on a specific topic via user-intent
Not a fit when
- You have no ffmpeg and cannot set up the Python environment via uv
- You have no key for any supported LLM provider
Example request
Cut short clips with the best moments and titles from this stream recordingLimitations
It needs ffmpeg and a Python environment via uv, and ffmpeg with libass for subtitle burn-in. It needs a key for at least one LLM provider: Qwen, OpenRouter, GLM or MiniMax. Sources are Bilibili and YouTube: some sites and providers may need a VPN from Russia, while local files and Chinese providers work directly. Speaker identification is in preview and needs extra setup and a Hugging Face token.
How to disable. Remove the video-clip-extractor skill folder from the agent's skills directory and the openclip install at ~/.local/share/openclip.
FAQ
Which LLM provider do I need?
One key is enough: Qwen by default, or OpenRouter, GLM or MiniMax. You can also point to a custom OpenAI-compatible endpoint.
Can I steer it to a topic?
Yes. The user-intent parameter says in words what to look for, and the model prioritizes those fragments when selecting.
Discussion
No questions or reviews yet.
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README in short
The README describes a lightweight video pipeline: download, transcript, segmentation, model analysis and clips with titles and covers. It ships a Streamlit web UI, a CLI and an Agent Skill install via the skills CLI. Sources are Bilibili, YouTube and local files, and providers include Qwen, GLM, MiniMax, OpenRouter and a custom OpenAI-compatible endpoint. Features include length presets, deep boundary optimization, subtitle burn-in and a user-intent hint. MIT licensed.