podcast-marketing

Extract content atoms from podcast transcripts and generate platform-ready marketing assets.

Updated Apr 18, 2026
One-click install
npx skills add https://github.com/Mo7amed-Mahmoud/ZeinaGuard-Pro --skill podcast-marketing-mo7amed-mahmoud
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: podcast-marketing
Source: https://github.com/Mo7amed-Mahmoud/ZeinaGuard-Pro/tree/main/.local/secondary_skills/podcast-marketing
Command: npx skills add https://github.com/Mo7amed-Mahmoud/ZeinaGuard-Pro --skill podcast-marketing-mo7amed-mahmoud

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Repurpose podcast episodes into a comprehensive marketing content production line, automatically extracting content atoms from transcripts and generating show notes, social posts, blogs, newsletters, pull quotes, and quotecard-ready visuals.

Core Features & Use Cases

  • Content Atom Extraction: pull 7 atom types (Narrative Arcs, Quotable Moments, Controversial Takes, Data Points, Frameworks, Stories, Predictions) with verbatim_text, timestamps, speaker, and a one-line hook.
  • Cross-Channel Outputs: produce show notes, blog posts, newsletters, social posts (Twitter/LinkedIn/Instagram), pull quotes, quote cards, and short-form video clips.
  • Input Modes & Batch: ingest via RSS feeds, raw transcripts, YouTube links, or batch process multiple episodes; auto-collect episode metadata.
  • Templates & References: access built-in content templates, design guidance, and scheduling logic to ensure consistent branding.
  • Quality Controls: enforce timestamp presence for atoms, anti-repetition rules across platforms, and platform-ready formatting.

Quick Start

Provide a transcript or episode link and run the marketing pipeline to generate the first set of outputs.

Frequently Asked Questions about podcast-marketing

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

FAQPage Schema
How do I repurpose podcast transcripts into social media posts?

Repurpose podcast transcripts into social media posts by extracting content atoms like quotable moments and data points, then formatting them into platform-ready outputs for Twitter, LinkedIn, and Instagram with anti-repetition rules applied.

Can I generate show notes and blog posts from a YouTube video link?

Yes, you can generate show notes and blog posts from a YouTube video link by ingesting the URL directly into the marketing pipeline, which automatically extracts episode metadata and transcript data for content generation.

What is the best way to batch process multiple podcast episodes for marketing content?

Batch process multiple podcast episodes for marketing content by ingesting multiple RSS feed episodes or raw transcripts simultaneously, allowing the pipeline to extract reusable content atoms and generate cross-channel outputs in bulk.

How do I extract pull quotes and short-form video clips from podcast audio?

Extract pull quotes and short-form video clips from podcast audio by processing the transcript to identify quotable moments with strict timestamp requirements, producing clip-ready assets and quote cards for visual marketing.

Does podcast marketing work with raw transcripts or do I need an RSS feed?

Podcast marketing works with raw transcripts, RSS feed episodes, or YouTube links, allowing you to extract narrative arcs, controversial takes, and predictions into reusable content atoms without needing a specific input format.

What are content atoms in podcast marketing and how many types are there?

Content atoms in podcast marketing are reusable transcript segments scored for cross-platform repurposing, with 7 available types including narrative arcs, quotable moments, controversial takes, data points, frameworks, stories, and predictions.