ai-podcast

Q: How do I install ai-podcast?

Run npx skills add https://github.com/magentosh/superpowers --skill ai-podcast in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-podcast/ (personal) or .claude/skills/ai-podcast/ (project).

by magentoshMedia & Creative

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.

Installs: 42
Last 24h: —
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Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/magentosh/superpowers --skill ai-podcast

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads ai-podcast automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

AI Podcast Generator

Create multi-person talking head podcast videos using the inference.sh pipeline: portrait generation → TTS audio → avatar video → merge. Supports real humans (via Phota), 3D mascots, illustrated characters, and mixed casts.

Use when the user wants to create a podcast, talking head video, demo reel, promotional conversation, or any multi-speaker video content.

Pipeline Overview

Characters (images) → TTS (audio per turn) → Avatar (video per turn) → Merge (final video)

Process

Step 1: Character Creation

Choose the right tool per character type:

Character Type	Tool	Notes
Real human (new)	`pruna/p-image`	16:9, `prompt_upsampling: true`. Quick, no training needed, but identity won't be consistent across multiple generations.
Real human (consistent ID)	`phota/generate` with `[[profile_id]]`	Consistent identity across all shots. Requires a trained Phota profile first (see below).
Brand mascot / logo character	`google/gemini-3-pro-image-preview`	Pass logo + character sheet as reference images
Illustrated / stylized	`google/gemini-3-pro-image-preview`	Pass style reference as input image

Training a Phota identity (optional but recommended for humans):

If you need a real human character with consistent identity across multiple angles and shots, train a Phota profile first:

infsh app run phota/train --input '{
  "images": ["url1.jpg", "url2.jpg", ...],
  "wait": true
}' --save profile.json

Requires 30-50 face images of the subject
Training takes a few minutes with wait: true
Returns a profile_id you then use in phota/generate as [[profile_id]] in prompts
The profile is reusable forever — train once, generate unlimited shots

If you don't need cross-shot consistency (e.g. single-speaker video, one angle only), pruna/p-image is simpler and cheaper.

Character sheets first, podcast frames second:

Generate a character sheet (plain white background, multiple angles) for each character
Then place characters into the podcast studio setting using the sheet as reference

For branded characters (logo on clothing):

Generate the character with a plain version of the garment
Use phota/edit with the logo as a second reference image to add the logo
Always pass the logo image alongside character references when generating new angles

Step 2: Alternate Angles

Generate at least 2 angles per character for visual variety:

Angle	When to use
Front/medium	Establishing shots, opening, closing
Close-up	Reactions, emotional moments, punchy lines

For close-ups, prompt for "tight framing, chest up, shallow depth of field" — not "turned to the side" (which just makes them look away).

Identity consistency rules:

For real humans with a Phota profile: use phota/generate or phota/edit for new angles — Gemini does not preserve facial identity and will produce a different person
For real humans without a Phota profile: try to generate all needed angles in one go with pruna/p-image, or consider training a Phota profile if you need many shots
For mascots/illustrations: Gemini 3 Pro is fine, pass the established frame as reference

Framing rule: Use tight framing on individual speakers. Wide shots with multiple seats show empty chairs when only one person is on screen.

Step 3: QA Frames

Before proceeding, visually inspect all frames for:

Extra people in the background
Multiple microphones (should be single mic per shot)
Wrong or distorted logos
Inconsistent character identity across angles
Weird artifacts (extra limbs, merged objects)

Fix issues before generating video — re-rendering video is the most expensive step in the pipeline.

Step 4: Write the Script

Rules for natural conversation:

Write it like a real conversation, NOT like people reading ad copy in turns
Include reactions ("wait, hold on", "that is wild"), interruptions, and follow-up questions
Vary turn length — short reactions (1 sentence) mixed with longer explanations (2-3 sentences)
The host should ask real questions, not set up obvious talking points
Keep total duration target in mind: ~2.5 words/second for natural speech at 1.05x rate

Duration guide:

Target	Words
15s	~38 words
30s	~75 words
60s	~150 words

Step 5: Generate TTS Audio

Use inworld/text-to-speech-2 for each turn.

infsh app run inworld/text-to-speech-2 --input '{
  "text": "...",
  "voice_id": "...",
  "speaking_rate": 1.05,
  "audio_encoding": "MP3"
}' --save output.json

Voice selection:

Generate samples with the same line across candidate voices BEFORE committing
Let the user listen and approve voices
Good podcast voices: Tyler, Nate, Lauren, Kelsey, Naomi, Anjali (EN_US)
Use inworld/text-to-speech-2:voices to list all available voices

Speaking rate:

Default to 1.05 for natural podcast pacing
Use 1.1 for short snappy reactions
NEVER go below 1.0 — sounds slow and disengaging
Keep rate consistent per character across all their turns

All TTS turns can run in parallel (cheap, fast ~2-8s each).

Step 6: Generate Video Clips

Use pruna/p-video-avatar for each turn.

infsh app run pruna/p-video-avatar --input '{
  "image": "<character_frame_url>",
  "audio": "<tts_audio_url>",
  "resolution": "720p",
  "video_prompt": "..."
}' --save output.json

Critical: Run clips SEQUENTIALLY, not in parallel. Parallel runs hit the same GPU and cause CUDA OOM failures. Each clip takes 15-90s depending on audio length.

Angle assignment plan: Alternate between front and close-up shots across turns for visual variety. Example for 6 turns:

T1: Speaker A — front
T2: Speaker B — front
T3: Speaker C — front (or close-up)
T4: Speaker A — close-up
T5: Speaker B — close-up
T6: Speaker A — front

Step 7: Merge

Use infsh/media-merger to stitch all clips into the final video.

# Build input JSON
{
  "media_files": [
    {"file": "<clip1_url>"},
    {"file": "<clip2_url>"},
    ...
  ],
  "fps": 24,
  "output_format": "mp4"
}

infsh app run infsh/media-merger --input merger_input.json --save final.json

Merger is free and takes 2-6 minutes depending on total duration.

Rules

Gemini does not preserve human facial identity — generating alternate angles of a real human with Gemini will produce a different person. For identity-consistent human shots, use Phota with a trained profile_id, or generate all angles in a single batch. This was learned after Gemini produced an entirely different face for a close-up that was supposed to match the front shot.
NEVER run p-video-avatar clips in parallel — they compete for GPU memory and fail with CUDA OOM. Run them sequentially. This was learned after 2 of 3 parallel runs failed.
NEVER set speaking_rate below 1.0 — it sounds artificial and disengaging. Default to 1.05. Learned from user feedback that 0.9 rate "felt weird and disengaging."
ALWAYS QA frames before generating video — video generation is the most expensive step in the pipeline. Catching a double mic or wrong logo in the image stage is cheap to fix. Catching it after video generation means re-rendering the entire clip.
ALWAYS use tight framing for individual speaker shots — wide/establishing shots show empty seats where other speakers should be. Frame from waist or chest up so no empty chairs are visible.
ALWAYS pass the logo as a reference image when generating branded characters — describing a logo in text produces wrong results. Pass the actual logo file as a second image input.
ALWAYS get voice approval before full production — generate samples with the same line across 5-8 candidate voices and let the user pick before committing to the full script.
Script should read like a conversation, not an ad — people reading ad copy in turns sounds fake. Include reactions, interruptions, varied turn lengths, and genuine questions. The host should have personality, not just set up talking points.

App Reference

App	Purpose
`pruna/p-image`	Generate portraits from text
`phota/train`	Train identity profile from 30-50 face images
`phota/generate`	Generate images with trained identity via `[[profile_id]]`
`phota/edit`	Edit images preserving identity of known subjects
`google/gemini-3-pro-image-preview`	Image gen/edit, mascots, style transfer
`inworld/text-to-speech-2`	Text to speech, 100+ languages, voice steering
`pruna/p-video-avatar`	Portrait + audio → talking head video
`infsh/media-merger`	Concatenate video clips into one video

Use belt task cost <task-id> to check the cost of any individual task.

FAQ

What does the ai-podcast skill do?

How do I install ai-podcast?

Run npx skills add https://github.com/magentosh/superpowers --skill ai-podcast in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-podcast/ (personal) or .claude/skills/ai-podcast/ (project).

Which AI agents can use ai-podcast?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ai-podcast safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains ai-podcast?

It is published by magentosh in magentosh/superpowers. It has 42 recorded installs.

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ai-podcast

Install

Install

Describe the task

Review the result

SKILL.md

AI Podcast Generator

Pipeline Overview

Process

Step 1: Character Creation

Step 2: Alternate Angles

Step 3: QA Frames

Step 4: Write the Script

Step 5: Generate TTS Audio

Step 6: Generate Video Clips

Step 7: Merge

Rules

App Reference

FAQ

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