Ai Podcast Creation logo

Ai Podcast Creation

Organization
inference-sh
ai-podcast-creation

Create AI-powered podcasts with text-to-speech, music, and audio editing. Tools: Kokoro TTS, DIA TTS, Chatterbox, AI music generation, ffmpeg for audio assembly. Capabilities: multi-voice conversations, background music, intro/outro, full episodes. Use for: podcast production, audiobooks, voice content, audio newsletters. Triggers: podcast, ai podcast, text to speech podcast, audio content, voice over, ai audiobook, multi voice, conversation ai, notebooklm alternative, audio generation, podcast automation, ai narrator, voice content, audio newsletter, podcast maker

Overview

Publisherinference-sh
Repositoryskills
Skill nameai-podcast-creation
Stars
765
Forks
104
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by inference-sh on GitHub. Read the source before you install it.

Installation

Install the Ai Podcast Creation AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/inference-sh/skills/tree/main/guides/content/ai-podcast-creation
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/inference-sh/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/guides/content/ai-podcast-creation .claude/skills/ai-podcast-creation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ai Podcast Creation in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ai Podcast Creation on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ai Podcast Creation is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Install the belt CLI skill: npx skills add belt-sh/cli

AI Podcast Creation

Create AI-powered podcasts and audio content via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

# Generate podcast segment
belt app run falai/kokoro-tts --input '{
  "prompt": "Welcome to the AI Frontiers podcast. Today we explore the latest developments in generative AI.",
  "voice": "am_michael"
}'

Available Voices

Kokoro TTS

Voice IDDescriptionBest For
af_sarahAmerican female, warmHost, narrator
af_nicoleAmerican female, professionalNews, business
am_michaelAmerican male, authoritativeDocumentary, tech
am_adamAmerican male, conversationalCasual podcast
bf_emmaBritish female, refinedAudiobooks
bm_georgeBritish male, classicFormal content

DIA TTS (Conversational)

Voice IDDescriptionBest For
dia-conversationalNatural conversationDialogue, interviews

Chatterbox

Voice IDDescriptionBest For
chatterbox-defaultExpressiveCasual, entertainment

Podcast Workflows

Simple Narration

bash
# Single voice podcast segment
belt app run falai/kokoro-tts --input '{
  "prompt": "Your podcast script here. Make it conversational and engaging. Add natural pauses with punctuation.",
  "voice": "am_michael"
}'

Multi-Voice Conversation

bash
# Host introduction
belt app run falai/kokoro-tts --input '{
  "prompt": "Welcome back to Tech Talk. Today I have a special guest to discuss AI developments.",
  "voice": "am_michael"
}' > host_intro.json

# Guest response
belt app run falai/kokoro-tts --input '{
  "prompt": "Thanks for having me. I am excited to share what we have been working on.",
  "voice": "af_sarah"
}' > guest_response.json

# Merge into conversation (no inference.sh app concatenates audio; use ffmpeg locally)
curl -L -o host.mp3 "<host-url>"
curl -L -o guest.mp3 "<guest-url>"
ffmpeg -i host.mp3 -i guest.mp3 -filter_complex "acrossfade=d=0.5" conversation.mp3

Full Episode Pipeline

bash
# 1. Generate script with Claude
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a 5-minute podcast script about the impact of AI on creative work. Format as a two-person dialogue between HOST and GUEST. Include natural conversation, questions, and insights."
}' > script.json

# 2. Generate intro music
belt app run infsh/ai-music --input '{
  "prompt": "Podcast intro music, upbeat, modern, tech feel, 15 seconds"
}' > intro_music.json

# 3. Generate host segments
belt app run falai/kokoro-tts --input '{
  "prompt": "<host-lines>",
  "voice": "am_michael"
}' > host.json

# 4. Generate guest segments
belt app run falai/kokoro-tts --input '{
  "prompt": "<guest-lines>",
  "voice": "af_sarah"
}' > guest.json

# 5. Generate outro music
belt app run infsh/ai-music --input '{
  "prompt": "Podcast outro music, matching intro style, fade out, 10 seconds"
}' > outro_music.json

# 6. Merge everything (no inference.sh app concatenates audio; use ffmpeg locally)
curl -L -o intro.mp3 "<intro-music>"
curl -L -o host.mp3 "<host>"
curl -L -o guest.mp3 "<guest>"
curl -L -o outro.mp3 "<outro-music>"
ffmpeg -i intro.mp3 -i host.mp3 -i guest.mp3 -i outro.mp3 -filter_complex \
  "[0][1]acrossfade=d=1[a];[a][2]acrossfade=d=1[b];[b][3]acrossfade=d=1" episode.mp3

NotebookLM-Style Content

Generate podcast-style discussions from documents.

bash
# 1. Extract key points
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Read this document and create a podcast script where two hosts discuss the key points in an engaging, conversational way. Include questions, insights, and natural dialogue.\n\nDocument:\n<your-document-content>"
}' > discussion_script.json

# 2. Generate Host A
belt app run falai/kokoro-tts --input '{
  "prompt": "<host-a-lines>",
  "voice": "am_michael"
}' > host_a.json

# 3. Generate Host B
belt app run falai/kokoro-tts --input '{
  "prompt": "<host-b-lines>",
  "voice": "af_sarah"
}' > host_b.json

# 4. Interleave and merge (no inference.sh app concatenates audio; use ffmpeg locally)
curl -L -o a1.mp3 "<host-a-1>"; curl -L -o b1.mp3 "<host-b-1>"
curl -L -o a2.mp3 "<host-a-2>"; curl -L -o b2.mp3 "<host-b-2>"
ffmpeg -i a1.mp3 -i b1.mp3 -i a2.mp3 -i b2.mp3 -filter_complex \
  "[0][1]acrossfade=d=0.3[a];[a][2]acrossfade=d=0.3[b];[b][3]acrossfade=d=0.3" conversation.mp3

Audiobook Chapter

bash
# Long-form narration
belt app run falai/kokoro-tts --input '{
  "prompt": "Chapter One. It was a dark and stormy night when the first AI achieved consciousness...",
  "voice": "bf_emma",
  "language": "british-english",
  "speed": 0.9
}'

Audio Enhancement

Add Background Music

bash
# 1. Generate podcast audio
belt app run falai/kokoro-tts --input '{
  "prompt": "<podcast-script>",
  "voice": "am_michael"
}' > podcast.json

# 2. Generate ambient music
belt app run infsh/ai-music --input '{
  "prompt": "Soft ambient background music for podcast, subtle, non-distracting, loopable"
}' > background.json

# 3. Mix with lower background volume (no inference.sh app mixes audio; use ffmpeg locally)
curl -L -o podcast.mp3 "<podcast-url>"
curl -L -o background.mp3 "<background-url>"
ffmpeg -i podcast.mp3 -stream_loop -1 -i background.mp3 -filter_complex \
  "[1]volume=0.15[bg];[0][bg]amix=inputs=2:duration=first" mixed.mp3

Add Sound Effects

bash
# Transition sounds between segments
belt app run infsh/ai-music --input '{
  "prompt": "Short podcast transition sound, whoosh, 2 seconds"
}' > transition.json

Script Writing Tips

Prompt for Claude

bash
belt app run openrouter/claude-sonnet-45 --input '{
  "prompt": "Write a podcast script with these requirements:
  - Topic: [YOUR TOPIC]
  - Duration: 5 minutes (about 750 words)
  - Format: Two hosts (HOST_A and HOST_B)
  - Tone: Conversational, informative, engaging
  - Include: Hook intro, 3 main points, call to action
  - Mark speaker changes clearly

  Make it sound natural, not scripted. Add verbal fillers like \"you know\" and \"I mean\" occasionally."
}'

Podcast Templates

Interview Format

HOST: Introduction and welcome
GUEST: Thank you, happy to be here
HOST: First question about background
GUEST: Response with story
HOST: Follow-up question
GUEST: Deeper insight
... continue pattern ...
HOST: Closing question
GUEST: Final thoughts
HOST: Thank you and outro

Solo Episode

Introduction with hook
Topic overview
Point 1 with examples
Point 2 with examples
Point 3 with examples
Summary and takeaways
Call to action
Outro

News Roundup

Intro music
Welcome and date
Story 1: headline + details
Story 2: headline + details
Story 3: headline + details
Analysis/opinion segment
Outro

Best Practices

  1. Natural punctuation - Use commas and periods for pacing
  2. Short sentences - Easier to speak and listen
  3. Varied voices - Different speakers prevent monotony
  4. Background music - Subtle, at 10-15% volume
  5. Crossfades - Smooth transitions between segments
  6. Edit scripts - Remove filler before generating

Related Skills

bash
# Text-to-speech models
npx skills add inference-sh/skills@text-to-speech

# AI music generation
npx skills add inference-sh/skills@ai-music-generation

# LLM for scripts
npx skills add inference-sh/skills@llm-models

# Content pipelines
npx skills add inference-sh/skills@ai-content-pipeline

# Full platform skill
npx skills add inference-sh/skills@infsh-cli

Browse all apps: belt app list --category audio

Frequently asked questions

What does the Ai Podcast Creation AI skill do?

Create AI-powered podcasts with text-to-speech, music, and audio editing. Tools: Kokoro TTS, DIA TTS, Chatterbox, AI music generation, ffmpeg for audio assembly. Capabilities: multi-voice conversations, background music, intro/outro, full episodes. Use for: podcast production, audiobooks, voice content, audio newsletters. Triggers: podcast, ai podcast, text to speech podcast, audio content, voice over, ai audiobook, multi voice, conversation ai, notebooklm alternative, audio generation, podcast automation, ai narrator, voice content, audio newsletter, podcast maker

Why use Ai Podcast Creation on TypingMind?

Because you install it once and use it with any model. Ai Podcast Creation is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ai Podcast Creation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/inference-sh/skills/tree/main/guides/content/ai-podcast-creation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ai Podcast Creation?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ai Podcast Creation?

As many as you like. As long as a model supports skills, you can use Ai Podcast Creation with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ai Podcast Creation AI skill free?

It is published on GitHub by inference-sh. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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