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podcast-marketing

Convert podcast episodes into marketing content with viral scoring.

Updated Aug 23, 2026
Search Tags:#social media#content repurposing#podcast#blog post#video clip#quote card
One-click install
npx skills add https://github.com/Balajitechlabs/quickdash-app --skill podcast-marketing-balajitechlabs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: podcast-marketing
Source: https://github.com/Balajitechlabs/quickdash-app/tree/main/.local/secondary_skills/podcast-marketing
Command: npx skills add https://github.com/Balajitechlabs/quickdash-app --skill podcast-marketing-balajitechlabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-3.11, youtube-transcript-api, yt-dlp, openai, Pillow, ffmpeg, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the repurposing of podcast episodes into a suite of marketing content, saving time and effort in creating social media posts, show notes, and other materials.

Core Features & Use Cases

  • Content Repurposing: Turn podcast episodes into social posts, show notes, clips, and quote cards.
  • Input Modes: Supports RSS feeds, raw transcripts, YouTube links, and batch processing.
  • Output Types: Generates blog posts, social media posts, newsletters, pull quotes, quote cards, and short-form video clips.
  • Use Case: Imagine you have a podcast episode you want to promote. Use this Skill to create social media posts, blog content, and video clips that highlight key points from the episode.

Quick Start

Use the podcast-marketing skill to repurpose the last episode of your podcast into marketing content.

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 episodes into social media content automatically?▼

You can repurpose podcast episodes into social media content automatically by extracting content atoms, scoring them for viral potential, and generating platform-ready pieces. This process requires Python, OpenAI API, and ffmpeg to transform RSS feeds or transcripts into posts, clips, and quote cards.

Can I turn a YouTube podcast link into blog posts and video clips?▼

Yes, you can turn a YouTube podcast link into blog posts and video clips by using yt-dlp and youtube-transcript-api. The system fetches the transcript and media, extracts key quotes, and generates blog content alongside short-form video assets.

Do I need an OpenAI API key to generate podcast quote cards and show notes?▼

Yes, an OpenAI API key is required to generate podcast quote cards and show notes. The OpenAI dependency processes transcripts to extract viral content atoms and text, while Pillow and ffmpeg handle the rendering of quote cards and video clips.

What is the best way to batch process podcast transcripts for marketing materials?▼

The best way to batch process podcast transcripts for marketing materials is to feed multiple RSS feeds or raw transcripts into the automation pipeline. This extracts content atoms with viral scoring and outputs newsletters, pull quotes, and social media posts in one run.

Does podcast content repurposing work with raw transcripts if I don't have a video or audio file?▼

Podcast content repurposing works with raw transcripts if you lack video or audio files. The system analyzes the text directly to generate show notes, blog posts, and social media updates, though video clip generation will require a media input.

Are there limitations when using ffmpeg and yt-dlp to extract short-form video clips from podcasts?▼

When using ffmpeg and yt-dlp to extract short-form video clips, limitations include dependency on precise media timestamps and potential failures with restricted YouTube sources. Accurate transcript alignment is required to ensure the extracted video clips match the intended content atoms.

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