podcast-to-clips

name	podcast-to-clips
description	Extract podcast episode transcripts into quote tweets, Instagram Reels copy, LinkedIn highlight posts, and TikTok script hooks — turning 60-minute conversations into 5-8 social assets.
version	2.0.0
author	Crewm8
maintainer	Gokul (github.com/gokulb20)
license	MIT
homepage	https://crewm8.ai
tags	["social","repurpose","podcast","clips","multi-platform","content-bank"]
related_skills	["post-create","caption-draft","visual-plan","newsletter-to-posts"]
inputs_required	["podcast-or-interview-transcript","full-episode-url","guest-handle-or-bio"]
deliverables	["clip-inventory-with-posting-schedule"]
compatible_agents	["hermes","claude-code","droid","cursor","windsurf","openai","openclaw","generic"]
execution_tier	1
required_tools	["FIRECRAWL_API_KEY"]
required_env_vars	["FIRECRAWL_API_KEY"]

Podcast to Clips

Distill podcast and video interview transcripts into platform-native social assets. A single 60-minute episode should yield 5-8 posts across platforms, not just one "new episode out" announcement.

Purpose

Podcasts are a content goldmine that most brands under-leverage. Each episode contains 5-8 moments worth posting. This skill extracts them, formats them per platform, and sequences the clips so one episode feeds a week of content.

When to Use

• New podcast episode published
• Founder was a guest on someone else's podcast
• Older episode that performed well deserves a second push
• Building a clips library for ongoing content

Inputs Required

• Full podcast transcript (auto-generated is fine)
• Episode title, host/guest handles, episode URL
• Brand voice guide
• Any specific clips the founder wants to highlight

Quick Reference

Podcast Segment	Best Clip Format	Best Platform
Hot take / contrarian opinion	Quote tweet or text-over-video	X, TikTok
Data point or surprising stat	Quote card + stat-led post	X, LinkedIn
Personal story	Video clip (30-60s) + caption	IG, TikTok
Framework or system	Carousel or thread	LinkedIn, X
Practical tip / how-to	Short video (15-30s) or text post	TikTok, IG, X

Procedure

1. Read the full transcript. Timestamp every moment that:

   • Made you pause or think differently
   • Contained a specific number or data point
   • Told a concrete story
   • Stated something contrarian or controversial
   • Offered a framework or step-by-step process
   • Was genuinely funny or human

2. For each timestamped moment, determine the best format:

   • Quote tweet: exact quote + 1-2 lines of context
   • Video clip: exact time range (15-90 seconds), text overlay hook
   • Carousel/post: if it's a framework, draft slide structure
   • Thread: if connected insights, build 3-5 tweet mini-thread

3. For video clips:

   • Clip length: 15-30s for TikTok/Reels, 30-90s for X, 60s max for LinkedIn
   • Include captions/subtitles
   • Write text overlay hook for first 1.5 seconds
   • Write platform-native caption

4. For each clip, draft: hook, caption/body text, CTA, hashtags.

5. Organize clips into a posting schedule:

   • Best clip first (within 24h of episode drop)
   • Spread remaining clips across 5-7 days
   • Do not post all clips the same day

6. Include attribution. Tag the host's account (if guesting). Link to full episode in every clip's caption or final tweet.

Output Format

# Podcast Clips: [Episode Title]

## Source
[Episode link + timestamp]

## Clip Inventory

### Clip 1: [Topic]
**Timestamp:** [MM:SS - MM:SS]
**Format:** [Video clip / Quote tweet / Thread / Carousel]
**Platform:** [Primary + secondary]
**Hook / Text overlay:** [Text]
**Caption / Body:** [Full text]
**CTA:** [CTA]
**Hashtags:** [Platform-appropriate set]

### Clip 2...
...

## Posting Schedule
- Day 1: [Clip X on platform Y]
- Day 2: [Clip X on platform Y]
...

Done Criteria

The skill is complete when:

1. At least 5 clips are extracted per 60-minute episode
2. Each clip has a timestamp, format, platform assignment, and caption
3. Video clips specify time ranges and text overlay hooks
4. A posting schedule spaces clips across at least 5 days
5. All clips include attribution links

Pitfalls

• Clips the host finds interesting but the audience doesn't
• Video clips without captions/subtitles (unwatchable for most consumption)
• Posting all clips at once (floods feed, reduces per-clip engagement)
• Same caption for every clip ("new episode out!") instead of clip-specific hooks
• Clips that require full-episode context to make sense

Verification

For each clip: if you saw this in your feed without knowing the podcast, would it make sense? If the hook is "new episode" — rewrite to a content-first hook.

Example

Input: 60-minute podcast episode. Founder guests on "The B2B Growth Show." Topic: cold outreach strategies.

Extracted clips:

1. (Quote tweet) Timestamp 12:30 — "Most cold outreach is lazy, it's not broken." Format: quote tweet. Platform: X.
2. (Framework) Timestamp 24:00 — "The 3-question qualification framework." Format: carousel. Platform: LinkedIn.
3. (Story) Timestamp 38:00 — "How one cold email led to a $50K deal." Format: video clip (45s). Platform: IG + TikTok.
4. (Data point) Timestamp 51:00 — "Open rates dropped 40% when we made this one change." Format: stat-led post. Platform: X.
5. (Tip) Timestamp 55:00 — "The exact DM template that books meetings." Format: short video (20s). Platform: TikTok.