Author’s cover for the podcast-to-article workflow, illustrated with a microphone and transcript-to-article motif.
Project screenshotsAbout this Skill
Turn a podcast or interview transcript into a topic-led article while preserving attribution, concrete facts, and the speaker’s voice.
Why we picked it
Provides a reusable workflow with concrete deliverables and supporting resources for Podcast to Article. Review the included tasks and requirements before selecting an entrypoint.
What it helps with
- Turn a podcast or interview transcript into a topic-led article while preserving attribution, concrete facts, and the speaker’s voice.
How the workflow fits together
Turn a podcast or interview transcript into a topic-led article while preserving attribution, concrete facts, and the speaker’s voice.
Install and start with your own material
Keep the bundled references, scripts, and templates. Start with your actual source material or application and name the result you want before running the selected workflow.
| Command | What it helps with |
|---|---|
npx skills add orange2ai/podcast-to-article | Install the upstream skill folders with their bundled resources. |
Before you use it
- A transcript in SRT, VTT, Markdown, or text. Python 3 runs the bundled transcript-cleaning and style-check scripts; no transcription service is included.
Supported agents
Sources & references
Original sources are linked below. Practical starting points are editorial suggestions from SkillHey.
