skills.rest
damionrashford
damionrashfordCOMMUNITY
Explore all skills by this author →
GitHub

workflow-podcast-pipeline

Automate podcast production from raw recordings to platform-ready MP3, M4A, and video deliverables.

15|4|Updated Apr 18, 2026
Search Tags:#subtitles#podcast#chapters#batch-processing#audioproduction#denoise#loudness-normalization
One-click install
npx skills add https://github.com/damionrashford/media-os --skill workflow-podcast-pipeline
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: workflow-podcast-pipeline
Source: https://github.com/damionrashford/media-os/tree/main/skills/workflow-podcast-pipeline
Command: npx skills add https://github.com/damionrashford/media-os --skill workflow-podcast-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This workflow automates the end-to-end production of podcast episodes from raw recordings to platform-ready deliverables, saving time while improving consistency, loudness compliance, and accessibility.

Core Features & Use Cases

  • End-to-end podcast pipeline: multi-mic capture, denoise, EQ, compression, and music-sidechain for a broadcast-ready stem chain.
  • Transcription & subtitles: Whisper-based transcription with word timestamps and auto-sync for captions and multi-language subtitles.
  • Chaptering & metadata: Auto-chaptering and embedded metadata (ID3 for MP3, @chpl atoms for M4A) with batch publishing to streaming platforms.
  • Batch publishing: Batch-prepare and upload to hosting platforms and YouTube for scalable releases.

Quick Start

Feed a raw multi-mic recording and this workflow will produce loudness-compliant, captioned, chapter-tagged deliverables for MP3, M4A, and video podcast.

Frequently Asked Questions about workflow-podcast-pipeline

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

FAQPage Schema
How do I automate podcast production from raw recordings to platform-ready files?▼

Podcast production automation processes raw multi-mic recordings into platform-ready deliverables by applying denoise, EQ, compression, and loudness normalization to generate broadcast-ready MP3, M4A, and video podcast files.

Does this workflow support EBU R128 loudness normalization and Whisper transcription?▼

Yes, EBU R128 loudness normalization and Whisper-based transcription are fully supported, ensuring audio compliance while generating word-timestamped transcripts for captions and multi-language subtitles.

How do I add chapters and ID3 metadata to MP3 and M4A podcast episodes?▼

Adding chapters and metadata to podcast episodes uses auto-chaptering and embedded metadata tagging, inserting ID3 tags for MP3 files and @chpl atoms for M4A files during the pipeline.

Can I batch publish podcast episodes to streaming platforms and YouTube?▼

Batch publishing podcast episodes prepares and uploads multiple processed files simultaneously to hosting platforms and YouTube, enabling scalable and consistent multi-format releases.

What is the best way to generate subtitles and captions for a multi-mic podcast?▼

Generating subtitles and captions for multi-mic podcasts utilizes Whisper-based transcription with word timestamps and auto-sync, producing accurate multi-language subtitle files for video podcast formats.

How does audio denoise and music sidechain compression work in a podcast pipeline?▼

Audio denoise and music sidechain compression process multi-mic captures by cleaning background noise and automatically ducking music frequencies, resulting in a broadcast-ready stem chain.

Related Skills

Explore More Content & Communication Skills→
apavanelloapavanello

mix-engineer

Process and remix raw Suno audio stems with noise reduction, EQ, and compression.

Community
Advanced
dp-archivedp-archive
1.1k

audio-extractor

Extract audio from video URLs using yt-dlp and convert to MP3, M4A, FLAC, WAV, or OPUS.

Community
Intermediate
steveclarkesteveclarke
35

youtube-transcript

Download YouTube transcripts via yt-dlp with subtitle fallbacks and Whisper transcription.

Community
Advanced
JosiahSiegelJosiahSiegel
51

ffmpeg-audio-processing

Automate audio encoding, normalization, and enhancement with FFmpeg.

Community
Advanced