Automatically convert written newsletters and emails into high-quality audio podcasts using advanced Text-to-Speech and automated audio processing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agents-skill-podcastifier
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 agents-skill-podcastifier 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 Podcastifier?
Podcastifier is a specialized utility designed to streamline the consumption of written content by converting it into auditory briefings. As a featured part of Openclaw Skills, it automates the tedious process of parsing text, managing character limits through intelligent chunking, and synthesizing audio. By leveraging industry-standard tools like ffmpeg and high-quality TTS engines, it ensures that your daily reading list becomes a professional-grade audio experience complete with introductory and concluding segments.
This tool is particularly effective for users who want to stay informed while multitasking. It handles the nuances of HTML and plain text parsing to extract the most relevant story bullets, ensuring that the final audio output is concise and focused on the core information.
Podcastifier Use Cases
- Creating personalized daily audio briefings from subscribed newsletters.
- Converting long-form technical articles into manageable audio files for commuting.
- Automating the transformation of email updates into team-wide audio status reports.
- Repurposing blog content into multi-modal formats for increased accessibility.
How Podcastifier Works
- Text Ingestion: The tool accepts plain text or HTML files as input, such as newsletter exports or email bodies.
- Story Extraction: It identifies and extracts key story bullets to ensure a focused narrative flow.
- Intelligent Chunking: To accommodate character limits of TTS providers, the content is split into optimized segments.
- Audio Synthesis: Each chunk is processed through a Text-to-Speech engine like ElevenLabs to generate high-fidelity voice tracks.
- ffmpeg Concatenation: All generated audio segments are stitched together using ffmpeg, including optional intro and outro files.
- Final Delivery: The skill outputs a single, ready-to-play mp3 file.
Podcastifier Setup
To get started with this skill from the Openclaw Skills collection, ensure you have python3 and ffmpeg installed on your system.
# Ensure ffmpeg is installed via your package manager
# macOS
brew install ffmpeg
# Ubuntu/Debian
sudo apt-get install ffmpeg
# Run the podcastifier
python podcastify.py --input newsletter.txt --voice "elevenlabs" --out briefing.mp3
Podcastifier Data Schema & Taxonomy
| Component | Description |
|---|---|
| Input Files | Supports .txt and .html formats for source content. |
| TTS Configuration | Metadata specifying the preferred voice engine and API credentials. |
| Chunking Logic | Temporary storage of segmented text blocks to bypass API limits. |
| Audio Output | Final rendered .mp3 file with concatenated segments and metadata tags. |
Podcastifier Advanced Features
- Support for premium TTS providers like ElevenLabs for human-like narration.
- Automated extraction of story bullets from messy HTML newsletter structures.
- Seamless audio stitching using ffmpeg to handle varying segment lengths.
- Customizable intro and outro integration for a branded podcast feel.
- Designed for integration within larger automated workflows common in Openclaw Skills.
SKILL.md
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