A powerful AI-driven utility for downloading high-quality videos and complete playlists from Bilibili with automated format selection.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bililidownloader
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install bililidownloader using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Bilibili Downloader is a specialized integration for Openclaw Skills designed to streamline the process of archiving and offline viewing of content from Bilibili. By leveraging the power of Python and industry-standard tools like yt-dlp, this skill allows users to simply provide a URL to an AI agent, which then handles the technical complexities of parsing, quality optimization, and file management.
This tool is particularly effective for users who need to manage large volumes of video data without manually configuring command-line arguments. Whether you need a single clip or an entire educational series, this skill provides a seamless bridge between the Bilibili platform and your local storage, ensuring you always have access to the media you need for personal study or backup purposes.
Ensure you have the necessary environment and dependencies installed to use this within Openclaw Skills:
# Ensure Python 3.6 or higher is installed
python --version
# Install the core downloader engine
pip install yt-dlp
# Install FFmpeg for media processing (macOS example)
brew install ffmpeg
The Bilibili Downloader organizes downloads and metadata using the following structure:
| Data Element | Description |
|---|---|
| Video Files | MP4 or MKV files stored in the designated output directory. |
| Metadata | Title, uploader information, and descriptions extracted during the parse phase. |
| Playlist Index | Numeric ordering for batch-downloaded series to maintain original sequence. |
| Format IDs | Identifiers for specific video resolutions (e.g., 1080p, 4K) used during quality selection. |
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