An efficient AI skill for extracting transcripts, summaries, and key highlights from YouTube content.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install yt-digest
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 yt-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
yt-digest is a robust utility built for the Openclaw Skills ecosystem that simplifies the process of consuming video content. It allows users to quickly generate AI-powered summaries and full transcripts from YouTube URLs, making it an essential tool for developers, students, and content creators. By utilizing this skill, you can transform hours of video into structured, searchable data in seconds.
This tool is particularly useful for those who want to integrate video intelligence into their local workflows without relying on heavy web interfaces. As a part of the Openclaw Skills library, it offers a developer-centric approach to video analysis.
To start using this tool within the Openclaw Skills framework, follow these steps:
# Install the skill to your local environment
openclaw install yt-digest
# Verify installation by running a simple transcript command
yt-digest transcript "https://youtube.com/watch?v=example"
The yt-digest skill organizes output data into a structured format designed for readability and further processing. Within the Openclaw Skills environment, the data includes:
| Attribute | Type | Description |
|---|---|---|
| Video Name | String | The title of the processed video |
| Channel | String | The author or creator of the video |
| Duration | Timestamp | The total runtime of the video content |
| Summary | Markdown | AI-generated highlights of the video |
| Key Moments | List | Timestamped chapters and significant events |
| Transcript | String | The full textual representation of the audio |
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