
Podcast Generation
Converts text content into a conversational podcast with two hosts (male and female voices) using Volcengine TTS. You write your article or documentation, it generates a structured JSON script with natural dialogue, then produces an MP3 and transcript. The workflow is intentionally simple: create the script following their "Hello Deer" format guidelines, run one Python command, and you're done. Works in English and Chinese. The script writing is on you though, you need to transform technical content into casual back-and-forth conversation that works for audio. Good for repurposing written content when you want the podcast format but don't want to actually record anything.
- skills.sh installs
- 2.4K
- GitHub stars
- 85.2K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add bytedance/deer-flow --skill podcast-generation --agent claude-codeInstalls into .claude/skills of the current project.
Files
Podcast Generation Skill
Overview
This skill generates high-quality podcast audio from text content. The workflow includes creating a structured JSON script (conversational dialogue) and executing audio generation through text-to-speech synthesis.
Core Capabilities
- Convert any text content (articles, reports, documentation) into podcast scripts
- Generate natural two-host conversational dialogue (male and female hosts)
- Synthesize speech audio using text-to-speech
- Mix audio chunks into a final podcast MP3 file
- Support both English and Chinese content
Workflow
Step 1: Understand Requirements
When a user requests podcast generation, identify:
- Source content: The text/article/report to convert into a podcast
- Language: English or Chinese (based on content)
- Output location: Where to save the generated podcast
- You don't need to check the folder under
/mnt/user-data
Step 2: Create Structured Script JSON
Generate a structured JSON script file in /mnt/user-data/workspace/ with naming pattern: {descriptive-name}-script.json
Sponsors
Details
- Repository
- github.com/bytedance/deer-flow
- Categories
- Code Review & Quality, Video & Audio Editing
- First seen
- Apr 16, 2026
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