Does this skill work with private or unlisted videos?

The tool generally requires the video to be accessible via URL for the AI to process the content and generate summaries.

How do I use the YouTube Chapter Generator skill?

Within Claude Code, you can trigger the skill by calling the `ai-chapters` command followed by the YouTube URL you wish to summarize.

Is the output format compatible with the YouTube description box?

Yes, the skill generates timestamps in the standard format (e.g., 00:00 - Introduction) that YouTube automatically converts into clickable chapters.

Which AI model powers the chapter generation?

The skill utilizes Google's Gemini API via the `ai-chapters` CLI tool to analyze video content and generate accurate summaries.

What credentials are required for this skill?

You must have a `GEMINI_API_KEY` set in your environment variables and the `hamel_tools` Python package installed.

YouTube Chapter Generator

Name: YouTube Chapter Generator
Author: hamelsmu

byhamelsmu

•

Gestión de Contenido

Generates AI-powered chapter summaries and timestamps for YouTube videos to enhance navigation and SEO.

Acerca de

The YouTube Chapter Generator skill automates the tedious process of timestamping and summarizing video content. By integrating the `ai-chapters` CLI tool with Gemini AI, this skill analyzes YouTube videos and produces structured, time-linked outlines ready for publication in video descriptions. It is an essential utility for content creators and developers looking to streamline video metadata creation and improve viewer engagement through clear, AI-driven sectioning.

Características Principales

Automatic timestamp extraction and formatting
Direct CLI integration via hamel-tools
Streamlined workflow for long-form video analysis
AI-generated section summaries using Gemini API
38 GitHub stars
YouTube-ready output for video descriptions

Casos de Uso

Creating structured outlines for technical tutorials and educational content
Generating descriptive timestamps for long-form podcasts or interviews
Improving YouTube video discoverability through keyword-rich chapter titles

Acerca de

Características Principales

Automatic timestamp extraction and formatting
Direct CLI integration via hamel-tools
Streamlined workflow for long-form video analysis
AI-generated section summaries using Gemini API
38 GitHub stars
YouTube-ready output for video descriptions

Casos de Uso

Creating structured outlines for technical tutorials and educational content
Generating descriptive timestamps for long-form podcasts or interviews
Improving YouTube video discoverability through keyword-rich chapter titles