Automate podcast insight extraction and content management via the Podwise CLI.
npx skills add https://github.com/hardhackerlabs/podwise-cli --skill podwise-hardhackerlabs
Please help me install this Agent Skill. Skill: podwise Source: https://github.com/hardhackerlabs/podwise-cli/tree/main/skills Command: npx skills add https://github.com/hardhackerlabs/podwise-cli --skill podwise-hardhackerlabs
Manually sifting through hours of podcast audio to find relevant insights, summarize episodes, manage listening queues, and extract useful knowledge is time-consuming and inefficient. This Skill automates the entire podcast knowledge workflow, turning unstructured audio content into organized, actionable information without requiring you to listen to every episode in full.
Use the podwise skill to generate a personalized catch-up digest of all unlistened podcast episodes from the past 7 days, with key summaries and highlights for your most relevant shows.
High-intent search queries and answers about installing and using this skill.
You can summarize podcast episodes automatically by extracting AI-generated insights, highlights, and transcripts from audio sources, eliminating the need for manual listening. This process pulls structured summaries directly from podcast links or local audio files.
To generate language learning flashcards from podcast transcripts, you can process episode audio to extract text and automatically format it into study materials. This transforms unstructured podcast content into actionable language learning artifacts.
Yes, you can export AI-generated episode notes, highlights, and summaries to PKM tools like Notion, Obsidian, Logseq, and Readwise. This allows you to integrate podcast knowledge directly into your existing personal knowledge management workflows.
Yes, extracting insights from local audio or video files requires the Podwise CLI to be installed and configured with a valid API key. This setup is necessary to process audio sources and fetch AI-generated artifacts automatically.
The best way to manage an episode backlog is to generate a prioritized catch-up digest that summarizes unlistened episodes from a specific timeframe. This provides scannable recaps with key takeaways, allowing you to triage episodes based on your interests.
You can research specific topics across your podcast library by performing cross-corpus topic research on previously processed transcripts and summaries. This allows you to aggregate insights and critically debate ideas presented across multiple episodes.
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