workflow-podcast-pipeline
CommunityPolish and publish podcast episodes end-to-end.
Content & Communication#subtitles#podcast#chapters#batch-processing#audioproduction#denoise#loudness-normalization
Authordamionrashford
Version1.0.0
Installs0
System Documentation
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.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: workflow-podcast-pipeline Download link: https://github.com/damionrashford/media-os/archive/main.zip#workflow-podcast-pipeline Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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