Searches, summarizes, and extracts structured insights from podcast episodes and transcripts.
npx skills add https://github.com/hgxszhj/podwise-cli --skill podwise
Please help me install this Agent Skill. Skill: podwise Source: https://github.com/hgxszhj/podwise-cli/tree/main/skills Command: npx skills add https://github.com/hgxszhj/podwise-cli --skill podwise
Podwise helps people turn podcasts and audio content into structured, searchable knowledge instead of leaving insights trapped in long episodes or scattered listening history.
Ask the podwise skill to find, summarize, or extract insights from a podcast episode, topic, or audio file.
High-intent search queries and answers about installing and using this skill.
To summarize a podcast transcript into structured notes, you can use Podwise to process audio or video sources and extract structured artifacts like highlights, chapters, and keywords. It supports various link formats and local files after processing.
The best way to research a specific topic across podcast episodes is to search by keyword or trend to find relevant shows. Podwise then applies AI-powered extraction to pull summaries, Q&A, and mind maps from the discovered episodes for your research.
Yes, you can extract highlights and mind maps from a YouTube link or local audio file. Podwise supports flexible inputs including YouTube links, Xiaoyuzhou links, and local media files to generate structured insights after processing.
Yes, podcast summarization requires Podwise CLI access to process episodes and retrieve artifacts. You need the CLI environment to support searching, listing, and extracting summaries, transcripts, chapters, and mind maps from your audio content.
When generating weekly recaps, the main limitation is that episodes must be processed before extraction. Podwise requires CLI access to search and process episodes, meaning you cannot extract summaries or highlights from unprocessed podcast audio in real-time.
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