bilibili-subtitle-downloader

What This Skill Does

The bilibili-subtitle-downloader is a powerful OpenClaw skill designed to automate the extraction, chunking, and summarization of Bilibili video content. By leveraging Python-based orchestration, this tool bypasses the need for manual transcription, allowing users to ingest long-form technical tutorials, lectures, or video essays directly into an LLM for analysis. The tool distinguishes between standard video content (identified by BV numbers) and Bilibili Cheese (paid courses) content (identified by SS or EP numbers), ensuring high compatibility across the platform's diverse media ecosystem.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/davincievans/bilibili-subtitle-download-skill Ensure you have the necessary environment dependencies installed to run the scripts located in the skill directory, specifically those requiring network access for API interactions and local filesystem permissions for saving cookies and subtitle chunks.

Use Cases

• Technical Research: Extracting key architectural concepts or coding patterns from high-quality Bilibili tech tutorials.
• Educational Summarization: Converting long-form educational courses into concise, high-density study notes or actionable checklists.
• Content Curation: Rapidly identifying the core arguments or data points in extensive video essays without watching the entire duration.
• Archiving: Storing structured, text-based summaries of valuable video content for later retrieval within your personal knowledge base.

Example Prompts

1. "Please summarize the video https://www.bilibili.com/video/BV1xyz123, focus specifically on the data architecture section."
2. "Use the bilibili-subtitle-downloader to break down the course ep12345 and give me an executive summary of the key takeaways."
3. "Analyze the Bilibili video with BV12345 and extract all actionable technical steps mentioned by the creator."

Tips & Limitations

• Authentication: If you encounter login prompts, follow the instructions to scan the QR code generated by the script. Your cookies are saved locally; keep this file secure.
• Content Limits: Very long videos may generate a large number of chunks. Ensure your LLM context window is sized appropriately for the specific analysis task.
• Course Access: Accessing paid 'Bilibili Cheese' content requires the user to have valid account permissions; the skill simply facilitates the automated download of content you have already purchased.
• Formatting: Always provide clear instructions for the sub-agent if you require a specific output format, such as JSON or Markdown tables, for your summary.