podcast-marketing

Converts podcast transcripts into social posts, blogs, newsletters, and video clips using Python libraries.

Updated Jul 11, 2026
One-click install
npx skills add https://github.com/gauravb4875-ux/SP2.0 --skill podcast-marketing-gauravb4875-ux
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: podcast-marketing
Source: https://github.com/gauravb4875-ux/SP2.0/tree/main/podcast-marketing
Command: npx skills add https://github.com/gauravb4875-ux/SP2.0 --skill podcast-marketing-gauravb4875-ux

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of converting podcast episodes into various forms of marketing content, including social media posts, blog articles, and video clips, saving users time and effort.

Core Features & Use Cases

  • Content Generation: Automatically generate show notes, blog posts, social media posts, and email newsletters from podcast transcripts.
  • Customization: Allows users to customize the types of content generated and the platforms for distribution.
  • Use Case: A user with a podcast can use this Skill to quickly create content that can be used on their social media channels, blog, and email newsletters to engage their audience.

Quick Start

Use the podcast-marketing skill to generate content for an episode from the attached file 'episode-transcript.txt'.

Frequently Asked Questions about podcast-marketing

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

FAQPage Schema
How do I convert podcast transcripts into social media posts and blog content?

This process automates content repurposing by converting podcast transcripts into structured marketing outputs, including social media posts, blog articles, and email newsletters, saving you time and manual effort.

How do I generate show notes and email newsletters from podcast episodes?

By processing an attached episode transcript file, the system automatically generates show notes, blog posts, social media content, and email newsletters, allowing you to customize output types for audience engagement.

Do I need Python libraries like openai and ffmpeg to generate podcast marketing content?

Yes, this workflow requires Python dependencies including openai, yt-dlp, Pillow, and ffmpeg to successfully process transcripts, handle media extraction, and generate the final marketing content assets.

Can I customize the types of content generated from my podcast transcripts?

Yes, you can customize the types of content generated and select specific distribution platforms, allowing you to tailor the output to your social media channels, blog, or email newsletters.

What is the best way to repurpose podcast audio for audience reach?

The best way to repurpose podcast audio is to automate the conversion of episode transcripts into multi-platform marketing materials, including social media posts, blog articles, and email newsletters to reach wider audiences.