Automatically generate structured chapters, highlight timestamps, and professional show notes from your podcast audio or transcripts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install podcast-chaptering-highlights
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install podcast-chaptering-highlights using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Podcast Chaptering and Highlights?
This skill leverages AI to transform raw podcast audio or text transcripts into organized, ready-to-use metadata. It specifically focuses on segmenting content into meaningful chapters with precise timestamps, identifying the most engaging moments for social media highlights, and drafting comprehensive show notes. By integrating with Openclaw Skills, developers and creators can streamline their post-production workflow without manually scrubbing through hours of audio recordings.
Podcast Chaptering and Highlights Use Cases
- Converting long-form podcast transcripts into structured chapter markers for YouTube or Spotify.
- Identifying viral-ready highlight clips from interview audio to use in marketing.
- Generating initial drafts of show notes and social media promotional posts to save editorial time.
- Organizing historical podcast archives with consistent metadata and topic taxonomy.
How Podcast Chaptering and Highlights Works
- The user provides an audio file path or a text transcript along with desired timestamp formatting (MM:SS or HH:MM:SS).
- The skill analyzes the content to detect natural topic shifts and key discussion points.
- Chapters are generated based on preferred length ranges, ensuring titles are concise and descriptive.
- High-impact segments are extracted to serve as highlight clip suggestions with start and end times.
- A final package containing show notes, key links, and optional social drafts is produced for the user to review.
Podcast Chaptering and Highlights Setup
To get started with this skill, ensure your environment has access to the necessary audio processing or transcription tools. Configure authentication via your local security settings to handle API tokens as detailed in the auth references. Install the skill within your Openclaw Skills workspace using the following command:
openclaw install podcast-chaptering-highlights
Once installed, define your preferred chapter format and target segment length in your configuration file.
Podcast Chaptering and Highlights Data Schema & Taxonomy
| Data Point | Description | Format |
|---|---|---|
| chapters | List of segment titles and start times | Array of Objects |
| highlights | Suggestions for social media clips | List with Timestamps |
| show_notes | Draft text including key topics and links | Markdown String |
| social_drafts | Optional posts for Twitter, LinkedIn, or Threads | Array of Strings |
Podcast Chaptering and Highlights Advanced Features
- Asynchronous event handling via webhooks for processing large audio files without blocking the CLI.
- Customizable chapter length ranges to suit specific platform requirements or listener preferences.
- Integration-ready templates for varied output formats including JSON and Markdown.
- Multi-format timestamp support (MM:SS or HH:MM:SS) for cross-platform compatibility.
SKILL.md
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