A professional-grade AI skill designed to convert podcast episodes from various sources into structured, actionable text summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install podcast-summarize
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-summarize 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 Summarize?
Podcast Summarize is a powerful technical integration within the Openclaw Skills ecosystem that automates the extraction of knowledge from audio content. It eliminates the need for manual note-taking by processing audio files, RSS feeds, and platform links into high-quality summaries.
By leveraging advanced transcription and natural language processing, this skill helps developers and researchers quickly digest long-form content, identify key themes, and capture actionable insights without spending hours listening to entire episodes. It is an essential component for any workflow requiring rapid information retrieval from multimedia sources.
Podcast Summarize Use Cases
- When you need to quickly review the core message of a podcast episode without listening to the full audio.
- Extracting specific actionable insights and mentioned resources for research or project documentation.
- Converting non-textual podcast data into searchable, structured Markdown content.
- Sharing concise podcast highlights with team members or social media audiences.
How Podcast Summarize Works
- Input Detection: The skill identifies the source, whether it is a local file (MP3, WAV, M4A), a direct URL, an RSS feed, or a YouTube video.
- Audio Processing: It utilizes tools like yt-dlp for YouTube extraction and validates local file integrity.
- Transcription: The audio is processed through Whisper (local or API) to generate a multi-language transcript, handling long-form content via intelligent chunking.
- Contextual Analysis: The AI analyzes the transcript to isolate key themes, guest insights, and specific timestamps.
- Structured Output: The skill generates a formatted Markdown summary including basic info, core points, detailed summaries, and actionable items.
Podcast Summarize Setup
To integrate this capability into your Openclaw Skills environment, ensure you have the necessary audio processing dependencies installed:
# Install audio extraction and processing tools
brew install yt-dlp ffmpeg
# Configure your AI agent to point to the podcast-summarize skill directory
openclaw install podcast-summarize
Podcast Summarize Data Schema & Taxonomy
The skill organizes extracted data into a standardized Markdown schema to ensure consistency across your knowledge base:
| Section | Description |
|---|---|
| Basic Info | Title, Duration, Publish Date, and Podcast Name |
| Core Points | 3-5 high-level bullet points of the main arguments |
| Detailed Summary | 2-3 paragraphs of synthesis reflecting the full context |
| Action Items | Specific, actionable takeaways or tasks derived from the audio |
| Resources | Links to websites, books, or tools mentioned during the episode |
Podcast Summarize Advanced Features
- Multi-Source Support: Native handling of RSS feeds, YouTube links, and local filesystem paths.
- Granular Control: Users can request brief 3-bullet summaries or full-length detailed reports.
- Timestamp Integration: Automatically notes timestamps for significant sections to allow for easy cross-referencing.
- Follow-up Interaction: Provides the ability to ask deep-dive questions based on the transcribed content within the Openclaw Skills framework.
SKILL.md
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