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podcast-production

Coordinate podcast production from recording to RSS feed distribution.

Updated Aug 27, 2026
Search Tags:#automation#production#transcription#podcast#audio-editing#show-notes#rss-feed
One-click install
npx skills add https://github.com/neverprepared/ink-bunny --skill podcast-production-neverprepared
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: podcast-production
Source: https://github.com/neverprepared/ink-bunny/tree/main/reflex/plugins/reflex/skills/podcast-production
Command: npx skills add https://github.com/neverprepared/ink-bunny --skill podcast-production-neverprepared

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Streamline the entire podcast production lifecycle from recording to distribution, reducing manual overhead and ensuring consistency across episodes.

Core Features & Use Cases

  • Recording Setup & Audio Processing: Configure input setups, apply noise reduction, normalization, and basic edits using FFmpeg and Python tooling.
  • Transcription & Speaker Diarization: Transcribe audio with Whisper and assign dialogue to speakers for accurate show notes and searchable transcripts.
  • Show Notes & RSS Distribution: Generate show notes, timestamps, and RSS feed metadata, ready for publication to Apple, Spotify, and other platforms.
  • Use Case: For a weekly podcast, automatically produce show notes, chapters, and a ready-to-submit RSS feed.

Quick Start

Provide a complete podcast production workflow for a new episode, including setup, editing, transcription, show notes, and RSS feed publication.

Frequently Asked Questions about podcast-production

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate podcast transcription and speaker diarization for episode show notes?▼

Automate podcast transcription by processing audio with Whisper for text generation and PyAnnote for speaker diarization, yielding accurate transcripts with assigned dialogue used to generate searchable show notes.

What's the best way to generate an RSS feed with iTunes metadata for podcast distribution?▼

Generate an RSS feed with iTunes metadata by compiling episode details, show notes, and audio outputs into a structured feed, ready for multi-platform publication to Apple Podcasts and Spotify.

Can I use FFmpeg for podcast audio editing and noise reduction in an automated workflow?▼

Yes, use FFmpeg for podcast audio editing to apply noise reduction, normalization, and basic edits within an automated workflow, yielding consistent audio processing across episodes.

Does podcast production automation handle multi-platform publishing workflows?▼

Yes, podcast production automation handles multi-platform publishing workflows by coordinating end-to-end from recording setup to RSS feed creation, ensuring consistent distribution across Apple and Spotify.

Do I need Python tooling to streamline end-to-end podcast production?▼

Yes, Python tooling is required to streamline end-to-end podcast production, orchestrating audio processing with FFmpeg, transcription with Whisper, and diarization with PyAnnote.

When should I use automated podcast production instead of manual editing?▼

Use automated podcast production instead of manual editing when managing a weekly podcast or team workflow, reducing manual overhead while ensuring consistent transcription and RSS feed generation.

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