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- Cdeistopened
- Skill Stack
- Podcast Production
podcast-production_skill
- TypeScript
1
GitHub Stars
1
Bundled Files
2 months ago
Catalog Refreshed
4 months ago
First Indexed
Readme & install
Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.
Installation
Preview and clipboard use veilstrat where the catalogue uses aiagentskills.
npx veilstrat add skill cdeistopened/skill-stack --skill podcast-production- SKILL.md16.4 KB
Overview
This skill transforms a raw podcast transcript into publish-ready YouTube, social, and blog assets using a four-checkpoint workflow. Each checkpoint produces a decision-ready markdown file for your feedback before moving forward. Final deliverables include a YouTube strategy, cold open, social clips, polished transcript, and a narrative-driven blog post.
How this skill works
Start by supplying the raw transcript and context notes. Checkpoint 1 finds the episode's story arcs and the single Big Idea; Checkpoint 2 crafts a cold open and three social clips; Checkpoint 3 defines YouTube titles, thumbnail specs, description, and chapters; Checkpoint 4 delivers a cleaned transcript and ~1,000-word blog post. You approve each checkpoint file in sequence to unlock the next phase.
When to use it
- You have a raw transcript and need a clear marketing angle.
- You want a short, high-impact cold open that hooks listeners.
- You need platform-ready social clips with on-screen hooks.
- You want an SEO-optimized blog post derived from the episode.
- You need a YouTube title, thumbnail plan, and chapter timestamps aligned to the story.
Best practices
- Mine the entire transcript — the strongest moment can appear anywhere.
- Use verbatim quotes only; cut and reorder but never paraphrase quotes.
- Prioritize story over summary: identify a 6-beat arc, then derive the Big Idea.
- Keep thumbnails simple (max 3 elements) and on-screen hooks 2–4 words.
- Follow the checkpoint quality gates — approval at each stage prevents rework.
Example use cases
- Turn a guest interview transcript into a YouTube episode with chapters and a thumbnail spec.
- Create three distinct 60–90s social clips with on-screen hooks ready for Instagram, TikTok, and LinkedIn.
- Generate a 22–35s cold open that ends on a cliffhanger to boost retention.
- Produce a polished transcript plus a ~1,000-word blog post that highlights the episode’s core insight.
FAQ
The complete workflow is designed to take about 6–8 hours from raw transcript to final assets, split across the four checkpoints.
Can I change the selected story arc after Checkpoint 1?
Yes — each checkpoint file is created for your feedback. If you request a different arc, we iterate before proceeding to the next checkpoint.