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podcast-marketing

Repurpose podcast episodes into social posts, show notes, quote cards, and video clips.

Updated Apr 20, 2026
Search Tags:#social media#marketing#transcription#content repurposing#podcast#video clips#quote cards
One-click install
npx skills add https://github.com/AmirEmad11/instabot --skill podcast-marketing-amiremad11
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: podcast-marketing
Source: https://github.com/AmirEmad11/instabot/tree/main/.local/secondary_skills/podcast-marketing
Command: npx skills add https://github.com/AmirEmad11/instabot --skill podcast-marketing-amiremad11

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires youtube-transcript-api, yt-dlp, Pillow, openai, anthropic, feedparser, pydub, numpy, requests.

What problem does it solve? Turning a single podcast episode into a full week of marketing content normally requires hours of manual writing, editing, and reformatting across platforms. This Skill automates that repurposing pipeline from transcript to publishable content. ## Core Features & Use Cases - Content Atom Extraction: Analyzes transcripts to extract 7 types of scored content atoms (narrative arcs, quotable moments, controversial takes, data points, frameworks, stories, predictions) with timestamps. - Multi-Platform Content Generation: Produces show notes, blog posts, Twitter threads, LinkedIn posts, Instagram captions, newsletters, and pull quotes, each leading with a unique angle. - Visual & Video Assets: Generates quote card images in three sizes and short-form vertical video clips with captions for TikTok, Reels, and YouTube Shorts. - Use Case: Paste a YouTube link to a podcast episode and receive a complete content package — show notes, a blog post, social posts, quote cards, and a scheduled content calendar. ## Quick Start Repurpose this podcast episode from the attached transcript into show notes, a Twitter thread, a LinkedIn post, and pull quotes.

Frequently Asked Questions about podcast-marketing

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

FAQPage Schema
How do I repurpose a podcast episode into social media content?▼

Provide a transcript, RSS feed, or YouTube link, and the pipeline extracts scored content atoms from the transcript, then generates a Twitter thread, LinkedIn post, Instagram caption, blog post, and newsletter. Each platform leads with a different atom to avoid repeating the same quote.

How to extract a transcript from a YouTube podcast video?▼

The youtube-transcript-api library fetches YouTube's auto-generated or manually uploaded captions for free without an API key. If no captions exist, yt-dlp downloads the audio and OpenAI Whisper transcribes it with timestamps.

What input formats does podcast content repurposing support?▼

Four input modes are supported: RSS feeds for automatic episode download and transcription, raw transcript files in plain text, SRT, or VTT format, YouTube video links, and batch mode for processing multiple recent episodes from a feed.

Can I generate short-form video clips from a podcast episode?▼

Yes, with ffmpeg and yt-dlp installed, the pipeline trims 30-90 second clips at atom timestamps and reformats them to 9:16 vertical. With an OpenAI API key, Whisper word-level timestamps enable animated word-by-word captions; otherwise static segment captions are used.

What are the limitations of automated podcast clip generation?▼

Clips require atoms with start and end timestamps, so plain-text transcripts without timing data cannot produce video clips. Animated captions need an OpenAI API key for Whisper re-transcription, and audio-only sources fall back to audiogram videos instead of true video clips.

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