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-0/skills ai-podcast-creationInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Install the belt CLI skill:
npx skills add belt-sh/cli
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 store --category audio
data-ai
Generate multi-person talking head podcast videos from scratch using AI — character creation, TTS, avatar animation, and video stitching. Use when the user wants to create a podcast, talking head video, or multi-speaker conversation video.
tools
Generate videos with ByteDance Seedance 2.0 via inference.sh CLI. Unified model for text-to-video, image-to-video, and reference-to-video with synchronized audio, up to 1080p, 4-15s duration. Pro and Fast variants. Studio variants with private asset library for portrait consistency. Use for: social media videos, music videos, product demos, animated content, AI video with sound. Triggers: seedance, seedance 2, bytedance video, seedance t2v, seedance i2v, seedance r2v, video with audio, seedance 2.0, bytedance seedance, seedance studio
tools
Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative
tools
Generate and edit videos with Alibaba HappyHorse 1.0 models via inference.sh CLI. Models: HappyHorse T2V, I2V, R2V, Video Edit. Capabilities: text-to-video, image-to-video, reference-to-video, video editing with natural language, character preservation, 720P/1080P, up to 15 seconds. Use for: physically realistic video, video editing, character-consistent content, product demos, social media. Triggers: happyhorse, happy horse, alibaba video, happyhorse 1.0, dashscope video, alibaba happyhorse, video editing ai, ai video editor