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podcast-analytics

Analyze podcast transcripts, listener metrics, and episode metadata with NLP tools.

1.9k|565|Updated Mar 28, 2026
Search Tags:#content strategy#trend analysis#podcasts#transcript processing#audience insights
One-click install
npx skills add https://github.com/mvanhorn/printing-press-library --skill podcast-analytics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: podcast-analytics
Source: https://github.com/mvanhorn/printing-press-library/tree/main/library/media-and-entertainment/podscan
Command: npx skills add https://github.com/mvanhorn/printing-press-library --skill podcast-analytics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive analysis of podcast data, enabling users to uncover trends, audience insights, and content recommendations efficiently.

Core Features & Use Cases

  • Trend Monitoring: Track how specific topics or keywords rise and fall over time across podcasts.
  • Audience Analysis: Examine listener reach, guest appearances, and growth patterns for targeted podcasts.
  • Use Case: A marketing team can identify trending themes and influential voices to optimize their campaign strategies leveraging podcast insights.

Quick Start

Ask the podcast analysis skill to show the top trending topics in recent episodes.

Frequently Asked Questions about podcast-analytics

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

FAQPage Schema
How do I analyze podcast transcripts to find trending topics?▼

Analyzing podcast transcripts identifies trending topics by processing episode metadata and tracking keyword frequency over time. This requires open-source NLP tools to interpret large-scale datasets and extract audience insights for content strategy.

What podcast listener metrics do I need for audience analysis?▼

Podcast audience analysis requires listener reach, guest appearances, and growth pattern data. Examining these metrics uncovers audience insights and influential voices to optimize marketing campaign strategies and content planning.

Can I track keyword trends across multiple podcast episodes?▼

Tracking keyword trends across multiple podcast episodes monitors how specific topics rise and fall over time. This trend analysis processes episode transcripts to support media research and content planning workflows.

Do I need open-source NLP tools to process podcast metadata?▼

Processing large-scale podcast datasets requires open-source NLP tools to accurately interpret transcripts and listener metrics. These tools facilitate advanced analysis of episode data to support marketing and media research workflows.

What is the best way to use podcast insights for content strategy?▼

Using podcast insights for content strategy involves examining listener reach and trending themes across episodes. Marketing teams apply these audience insights to identify influential voices and optimize campaign strategies efficiently.

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