Podcast

Create and grow podcasts by planning episodes, producing audio or video, generating clips, and building audience across formats.

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Install skill "Podcast" with this command: npx skills add ivangdavila/podcast

Core Workflow

Every podcast follows: Concept → Plan → Record/Generate → Edit → Publish → Promote.

Before starting ANY podcast:

  1. Format — Solo, interview, panel, narrative, or AI-generated
  2. Niche — Specific topic + audience (not "business" but "bootstrapped SaaS founders")
  3. Cadence — Weekly, biweekly, or seasonal (consistency > frequency)

Project Structure

~/podcasts/<show>/
├── brand/              # Cover art, intro/outro, music
├── episodes/           # One folder per episode
│   └── 001/
│       ├── outline.md
│       ├── recording.mp3
│       ├── transcript.md
│       ├── show-notes.md
│       └── clips/
├── guests.md           # Guest tracker + relationship notes
└── analytics.md        # Performance patterns

Episode Checklist

Pre-production:

  • Topic researched, angle clear
  • Outline/script with hooks and transitions
  • Guest prep (if interview): questions + research

Post-production:

  • Audio cleaned, levels normalized
  • Show notes with timestamps
  • 3-5 clips extracted for social
  • Thumbnail (if video)

Quick Reference

NeedLoad
Format-specific guidance (solo, interview, panel)formats.md
Audio and video production techniquesproduction.md
AI-generated podcast creationai-generation.md
Growth, SEO, social, monetizationgrowth.md
Episode planning, scripts, show notesepisodes.md
Tools, platforms, APIstools.md

Critical Rules

  1. Hook in first 30 seconds — State the value, tease the best moment
  2. Consistency beats perfection — Ship on schedule, improve incrementally
  3. Clips are growth engine — Every episode = 3-5 social clips minimum
  4. Engage the niche — Better to own a small audience than chase a big one
  5. Video is optional but powerful — YouTube podcast search is growing fast

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

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