programmerloverun/bilibili-to-doc/bilibili-to-doc

Claude Code and agent skill by programmerloverun/bilibili-to-doc

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This skill should be used when the user asks to "提取B站视频", "B站视频转文档", "bilibili视频提取", "将B站视频转文字", or provides a bilibili.com video URL and wants to extract its content into a structured Markdown document. Automatically downloads AI subtitles (Chinese) via yt-dlp, parses SRT, and generates a well-formatted tutorial/article document.

Install

npx vskill@latest install programmerloverun/bilibili-to-doc/bilibili-to-doc

SKILL.md

Bilibili Video to Document (B站视频提取文档)

Overview

Extract Bilibili video content into a structured Markdown document by: (1) downloading AI-generated subtitles via yt-dlp with browser cookies, (2) parsing the SRT subtitle file, (3) reorganizing the transcript into a logical, well-structured document with sections, tables, and code blocks.

When to Use

Trigger this skill when the user:

  • Provides a bilibili.com video URL and asks to extract/converter it to a document
  • "提取B站视频内容" / "B站视频转文档" / "将视频转成文章"
  • "把这个B站视频整理成笔记"
  • "generate document from Bilibili video"

Prerequisites

  • yt-dlp must be installed: pip3 install yt-dlp
  • Browser cookies are needed for Bilibili access (Chrome or other browser)
  • Python 3.10+ for subtitle processing

Workflow

Step 1: Download Subtitles

Use yt-dlp with browser cookies to download the AI Chinese subtitles:

bash
yt-dlp --cookies-from-browser chrome "<BILIBILI_URL>" \
--write-subs --sub-lang ai-zh \
--skip-download \
-o "/tmp/bilibili_output"

Also get the video title:

bash
yt-dlp --cookies-from-browser chrome "<BILIBILI_URL>" \
--print "%(title)s" --skip-download 2>&1 | tail -1

If chrome browser cookies are not available, try safari, firefox, or edge.

Step 2: Parse SRT and Generate Document

Read the downloaded .ai-zh.srt file, then:

  1. Strip SRT formatting: Remove sequence numbers, timestamps, empty lines
  2. Merge consecutive lines: Combine fragmented subtitle lines into complete sentences
  3. Identify logical sections: The AI should read through the full transcript and identify:
  • Topic/theme divisions
  • Step-by-step procedures
  • Key concepts and definitions
  • Configuration examples / code blocks
  1. Structure the document with proper heading hierarchy
Step 3: Document Structure

Generate a Markdown document following this structure (from reference template):

markdown
# {Video Title}
> 来源:B站视频 {BV号} | 主讲:{author}
---
## 一、{Topic Overview}
{Summary of what the video covers}
## 二、{Main Content Sections}
{Organized by logical topic divisions}
## N、总结
{Key takeaways}
Step 4: Save Output

Save to the user's Desktop by default: ~/Desktop/{Video_Title}.md

Document Writing Guidelines

  • Preserve technical details: Configuration code, SQL, JSON, YAML, shell commands should be formatted in code blocks
  • Use tables for comparisons: Feature comparisons, parameter lists, pros/cons
  • Bullet lists for key points: Use hierarchical bullet points for nested concepts
  • Add section numbers: Use Chinese numbered sections (一、二、三...) for main divisions
  • Keep code accurate: If the speaker mentions specific config/code, represent it faithfully
  • Add explanatory notes: Fill in gaps where the spoken word might be ambiguous without visuals
  • Trim filler content: Remove repeated phrases, verbal fillers (嗯, 啊, 这个), and self-promotion segments
  • Mark at the end: Add a disclaimer that the document is AI-generated from subtitles

Reference

See references/doc-template.md for the full document template.

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

  • SKILL.md in the repositoryCheckingSKILL.md

Popularity

Repository stars
97
Repository forks
4
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 5 Oct 2026, a month ago.

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