pp-podscan

Searches podcast datasets and extracts transcripts with AI-detected entities via RESTful API.

1.9k|565|Updated Mar 28, 2026
One-click install
npx skills add https://github.com/mvanhorn/printing-press-library --skill pp-podscan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pp-podscan
Source: https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-podscan
Command: npx skills add https://github.com/mvanhorn/printing-press-library --skill pp-podscan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables users to quickly search and analyze vast podcast libraries, providing full transcripts and AI-extracted data to enhance content discovery and research.

Core Features & Use Cases

  • Podcast Search & Retrieval: Find podcasts and episodes by keywords, topics, or transcripts.
  • Transcription & Data Extraction: Access full episode transcripts with AI-highlighted entities, brand mentions, and safety analysis.
  • Use Case: Researchers can quickly locate relevant podcast episodes discussing specific topics, extracting summarized data for analysis.

Quick Start

Use the podscan CLI to search for episodes about a chosen genre or keyword and review the extracted entities immediately.

Frequently Asked Questions about pp-podscan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I search for podcasts by transcript content and extract mentioned entities?

Podcast transcript search and entity extraction works by leveraging AI-powered transcription with metadata extraction via RESTful API access. You retrieve full episode transcripts containing AI-highlighted entities and brand mentions for content analysis.

Can I use a RESTful API to retrieve full podcast episode transcripts?

Yes, RESTful API access supports retrieving full podcast episode transcripts. The Skill satisfies requirements for RESTful API access, transcript retrieval, and AI entity analysis across large podcast datasets for research and monitoring.

What is AI-powered podcast media analysis and how does it identify brand mentions?

AI-powered podcast media analysis uses transcription and metadata extraction to identify brand mentions within episode transcripts. It processes audio content to highlight entities, brand mentions, and performs safety analysis for media monitoring.

How do I monitor podcast episodes for specific topics and extract summarized data?

To monitor podcast episodes for specific topics, search large datasets using keywords or transcripts. The Skill enables researchers to locate relevant episodes discussing specific topics and extract summarized data for analysis using AI-transcripts and metadata extraction.

Does podcast search and analysis work for scenario-specific research and content curation?

Yes, podcast search and analysis supports scenario-specific research and content curation. The Skill enables comprehensive searching across large podcast datasets, providing full transcripts and AI-extracted data to enhance content discovery and research.

What are the limitations of AI transcription for podcast entity extraction?

The metadata does not specify exact limitations of AI transcription for podcast entity extraction. The Skill provides AI-highlighted entities, brand mentions, and safety analysis, but accuracy depends on the underlying AI-transcription quality across podcast datasets.