podcast-marketing

Converts podcast audio and transcripts into social posts, show notes, clips, and quote cards.

Updated Jul 4, 2026

Search Tags:#content generation #social media content #quote cards #podcast marketing #podcast content

Ready to run

npx skills add https://github.com/Spectra29115/Project-ResumeParser --skill podcast-marketing-spectra29115

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: podcast-marketing
Source: https://github.com/Spectra29115/Project-ResumeParser/tree/main/.local/secondary_skills/podcast-marketing
Command: npx skills add https://github.com/Spectra29115/Project-ResumeParser --skill podcast-marketing-spectra29115

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill turns podcast episodes into a suite of marketing content, including social posts, show notes, clips, and quote cards, saving time and increasing engagement.

Core Features & Use Cases

Content Generation: Converts podcast episodes into various marketing formats, tailored for different platforms.
Content Atoms: Extracts key content elements from transcripts, scored for relevance and engagement.
Customization: Allows for customization based on brand voice, audience, and platform preferences.
Use Case: A user can input a podcast episode and receive social media posts, blog articles, and newsletters automatically generated from the content.

Quick Start

Run the podcast-marketing skill with the YouTube link or RSS feed of the podcast episode you want to repurpose.

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 content into social media posts and quote cards?▼

Repurpose podcast content by processing episode transcripts to automatically generate social media posts, show notes, clips, and quote cards. The system extracts key content atoms from the audio or video to produce engaging marketing materials.

How does podcast transcript content generation work for marketing materials?▼

Content generation works by extracting key content atoms from podcast transcripts and scoring them for relevance and engagement. An AI model processes these transcripts to output customized social media posts, blog articles, and newsletters.

Does podcast marketing require specific Python libraries and an AI model to generate clips?▼

Yes, generating podcast clips and marketing assets requires Python 3.10+ along with libraries like youtube-transcript-api, yt-dlp, Pillow, ffmpeg, and an AI model for content generation. These dependencies handle video processing and image generation.

Can I customize generated podcast show notes for different social media platforms?▼

Yes, you can customize generated podcast show notes and social media content based on brand voice, audience, and platform preferences. The system tailors the output marketing formats to match your specific platform requirements.

What is the best way to convert YouTube podcast episodes into blog articles?▼

The best way to convert YouTube podcast episodes into blog articles is to use a skill that accepts a YouTube link, fetches the transcript via youtube-transcript-api, and uses an AI model to generate textual content automatically from the episode.

Why are my video clips not generating during podcast content repurposing?▼

Video clips may not generate if ffmpeg or yt-dlp dependencies are missing from your Python 3.10+ environment. Proper setup of these specific video processing libraries is required to extract and generate visual podcast clips successfully.