podcast to multi channel content multiplier
by nowrich
Transforms podcast transcripts into a complete content ecosystem including social posts, clips, and newsletters.
Secure checkout via Stripe
Works with the AI tools you already use
See it in action
You say
I just finished an interview with Jane Doe about SaaS pricing. Here is the transcript. Please generate the full content ecosystem and a 7-day publishing plan.
Your agent does
Episode Overview: SaaS Pricing with Jane Doe
Summaries
- Short: Jane Doe breaks down the three pillars of value-based pricing for early-stage startups. ...
Publishing Sequence
- Day 1: Full episode + LinkedIn post.
- Day 2: Quote card "Pricing is a product feature." ...
What you get
About this skill
The problem
Repurposing a single podcast episode into multi-channel content is a massive manual bottleneck. Creators often leave reach on the table because manual extraction of hooks, clips, and platform-specific copy takes hours per episode.
What it does
- Extracts core themes, actionable insights, and verbatim soundbites from raw transcripts.
- Generates short, medium, and executive-level summaries for different distribution needs.
- Identifies high-interest moments for video clips, including timestamps, hooks, and visual framing notes.
- Drafts platform-native copy for LinkedIn stories, Twitter threads, and SEO-optimized YouTube descriptions.
- Produces a complete publishing sequence to space out content over a 14-day window.
Why this beats prompting it yourself
Generic prompts often hallucinate quotes or lose the speaker's unique cadence. This skill enforces strict verbatim quote extraction and follows a systematic 9-step workflow to ensure no content angle is missed, from quote cards to lead magnet outlines.
Use cases
- Convert a raw Zoom transcript into a 14-day social media marketing blitz.
- Draft structured show notes and timestamps for YouTube and podcast hosting platforms.
- Create a curiosity-driven email newsletter summarizing guest insights.
- Script high-retention hooks for TikTok and YouTube Shorts based on specific episode segments.
Known limitations
Requires a text-based transcript as input. Timestamp accuracy depends entirely on the presence of timestamps in the provided source text.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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