guides/content/ai-podcast-creation/SKILL.md
Create AI-powered podcasts with text-to-speech, music, and audio editing. Tools: Kokoro TTS, DIA TTS, Chatterbox, AI music generation, media merger. 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
npx skillsauth add inference-sh/agent-skills ai-podcast-creationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Create AI-powered podcasts and audio content via inference.sh CLI.

Requires inference.sh CLI (
belt). Install instructions
belt login
# Generate podcast segment
belt app run infsh/kokoro-tts --input '{
"prompt": "Welcome to the AI Frontiers podcast. Today we explore the latest developments in generative AI.",
"voice": "am_michael"
}'
| Voice ID | Description | Best For |
|----------|-------------|----------|
| af_sarah | American female, warm | Host, narrator |
| af_nicole | American female, professional | News, business |
| am_michael | American male, authoritative | Documentary, tech |
| am_adam | American male, conversational | Casual podcast |
| bf_emma | British female, refined | Audiobooks |
| bm_george | British male, classic | Formal content |
| Voice ID | Description | Best For |
|----------|-------------|----------|
| dia-conversational | Natural conversation | Dialogue, interviews |
| Voice ID | Description | Best For |
|----------|-------------|----------|
| chatterbox-default | Expressive | Casual, entertainment |
# Single voice podcast segment
belt app run infsh/kokoro-tts --input '{
"prompt": "Your podcast script here. Make it conversational and engaging. Add natural pauses with punctuation.",
"voice": "am_michael"
}'
# Host introduction
belt app run infsh/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 infsh/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
belt app run infsh/media-merger --input '{
"audio_files": ["<host-url>", "<guest-url>"],
"crossfade_ms": 500
}'
# 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 infsh/kokoro-tts --input '{
"prompt": "<host-lines>",
"voice": "am_michael"
}' > host.json
# 4. Generate guest segments
belt app run infsh/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
belt app run infsh/media-merger --input '{
"audio_files": [
"<intro-music>",
"<host>",
"<guest>",
"<outro-music>"
],
"crossfade_ms": 1000
}'
Generate podcast-style discussions from documents.
# 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 infsh/kokoro-tts --input '{
"prompt": "<host-a-lines>",
"voice": "am_michael"
}' > host_a.json
# 3. Generate Host B
belt app run infsh/kokoro-tts --input '{
"prompt": "<host-b-lines>",
"voice": "af_sarah"
}' > host_b.json
# 4. Interleave and merge
belt app run infsh/media-merger --input '{
"audio_files": ["<host-a-1>", "<host-b-1>", "<host-a-2>", "<host-b-2>"],
"crossfade_ms": 300
}'
# Long-form narration
belt app run infsh/kokoro-tts --input '{
"prompt": "Chapter One. It was a dark and stormy night when the first AI achieved consciousness...",
"voice": "bf_emma",
"speed": 0.9
}'
# 1. Generate podcast audio
belt app run infsh/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
belt app run infsh/media-merger --input '{
"audio_files": ["<podcast-url>"],
"background_audio": "<background-url>",
"background_volume": 0.15
}'
# Transition sounds between segments
belt app run infsh/ai-music --input '{
"prompt": "Short podcast transition sound, whoosh, 2 seconds"
}' > transition.json
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."
}'
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
Introduction with hook
Topic overview
Point 1 with examples
Point 2 with examples
Point 3 with examples
Summary and takeaways
Call to action
Outro
Intro music
Welcome and date
Story 1: headline + details
Story 2: headline + details
Story 3: headline + details
Analysis/opinion segment
Outro
# 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
development
Render videos from React/Remotion component code via inference.sh. Pass TSX code, get MP4. Supports all Remotion APIs: useCurrentFrame, useVideoConfig, spring, interpolate, AbsoluteFill, Sequence. Configurable resolution, FPS, duration, codec. Use for: programmatic video generation, animated graphics, motion design, data-driven videos, React animations to video. Triggers: remotion, render video from code, tsx to video, react video, programmatic video, remotion render, code to video, animated video, motion graphics code, react animation video
tools
Generate videos with Pruna P-Video and WAN models via inference.sh CLI. Models: P-Video, WAN-T2V, WAN-I2V. Capabilities: text-to-video, image-to-video, audio support, 720p/1080p, fast inference. Pruna optimizes models for speed without quality loss. Triggers: pruna video, p-video, pruna ai video, fast video generation, optimized video, wan t2v, wan i2v, economic video generation, cheap video generation, pruna text to video, pruna image to video
documentation
Still-to-video conversion guide: model selection, motion prompting, and camera movement. Covers Wan 2.5 i2v, Seedance, Fabric, Grok Video with when to use each. Use for: animating images, creating video from stills, adding motion, product animations. Triggers: image to video, i2v, animate image, still to video, add motion to image, image animation, photo to video, animate still, wan i2v, image2video, bring image to life, animate photo, motion from image
tools
Generate videos with Google Veo models via inference.sh CLI. Models: Veo 3.1, Veo 3.1 Fast, Veo 3, Veo 3 Fast, Veo 2. Capabilities: text-to-video, cinematic output, high quality video generation. Triggers: veo, google veo, veo 3, veo 2, veo 3.1, vertex ai video, google video generation, google video ai, veo model, veo video