video-chapter-splitter — Claude Skill by QiYongchuan

by QiYongchuan · Claude Skill · ★ 79

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About video-chapter-splitter

基于字幕语义自动识别章节边界,精准切割视频的 Claude Code Skill

Quick Facts

Stars79
Forks10
LanguagePython
CategoryClaude Skill
Quality Score27.75/100
Last Updated2026-03-14
Created2026-03-04
Platformsclaude-code, python
Est. Tokens~2k

Compatible Skills

These tools work well together with video-chapter-splitter for enhanced workflows:

  • recall — semantic(0.44)+complementary+same_lang+similar_pop+shared_platform (60%)
  • Agentic-SEO-Skill — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

video-chapter-splitter alternative? Top 2 similar tools

Looking for a video-chapter-splitter alternative? If you're comparing video-chapter-splitter with other claude skill tools, these 2 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • life-sciences by anthropics · ⭐ 345

    Repo for the Claude Code Marketplace to use with the Claude for Life Sciences Launch. This will continue to ho

  • skyll by assafelovic · ⭐ 222

    A tool for autonomous agents like OpenClaw to discover and learn skills autonomously

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Frequently Asked Questions

What is video-chapter-splitter?

video-chapter-splitter is 基于字幕语义自动识别章节边界,精准切割视频的 Claude Code Skill. It is categorized as a Claude Skill with 79 GitHub stars.

What programming language is video-chapter-splitter written in?

video-chapter-splitter is primarily written in Python.

How do I install or use video-chapter-splitter?

You can find installation instructions and usage details in the video-chapter-splitter GitHub repository at github.com/QiYongchuan/video-chapter-splitter. The project has 79 stars and 10 forks, indicating an active community.

What are the best alternatives to video-chapter-splitter?

The top alternatives to video-chapter-splitter on Agent Skills Hub include life-sciences, skyll. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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