# podcast-content-analyzer

A Claude subagent that reads podcast transcripts, finds viral moments, builds chapter markers, pulls SEO keywords and scores clip potential.

- subagent · `type=agent` · Claude Code · 474 installs
- Author: davila7
- License: not stated · policy=link-only · description only; the file stays with the author
- Source: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/agents/ffmpeg-clip-team/podcast-content-analyzer.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/agents/podcast-content-analyzer

## What it does

The subagent works through a transcript segment by segment. Each one gets a score for emotional impact, informational value, story completeness and how unexpected the take is. Then comes the viral assessment, split by platform: short clips for TikTok and Reels, quotable lines for Twitter/X, professional angles for LinkedIn, inspirational bits for Instagram.

Output is structured JSON. It holds timestamped key moments with relevance scores, platform recommendations, suggested clip titles, chapter divisions with descriptive names, and extracted keywords and topics. Scoring runs on a 1–10 scale: 9–10 means exceptional material, anything below 5 is a candidate for cutting or condensing.

Text only. The `tools` field lists a single `Read`, so audio and video never get touched — bring a finished transcript. The agent suggests chapters of 5–15 minutes and clips of 15–60 seconds.

## Install

### Claude Code (native platform)

1. **claude-code-templates**
```bash
npx claude-code-templates@latest --agent ffmpeg-clip-team/podcast-content-analyzer
```

2. **Manually: put the files in place**
- File: `.claude/agents/podcast-content-analyzer.md` — For all projects use ~/.claude/agents/. Claude delegates by the description field or an @-mention

### Codex

**Manually: put the files in place**
- File: `.codex/agents/podcast-content-analyzer.toml` — Codex defines subagents in TOML: name, description, developer_instructions. Move the Markdown text into developer_instructions by hand. For all projects use ~/.codex/agents/

### Cursor

**Manually: put the files in place**
- File: `.cursor/agents/podcast-content-analyzer.md` — Cursor also reads .claude/agents/

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/agents/ffmpeg-clip-team/podcast-content-analyzer.md

## When to use it
- find the moments in a long transcript that will land as short clips
- split an episode into chapters with titles that mean something
- pull keywords and guest names for the episode description
- decide which segments to clip and which to cut or condense
- draft clip titles aimed at a specific platform

## Example prompts
- Go through this transcript and find the moments with viral potential
- Break the episode into 5–15 minute chapters with titles
- Extract the keywords and topics from this transcript

## Similar
- [podcast-marketing](https://affpapa.org/en/nevibecode/skills/podcast-marketing.md) — skill · 1800 installs
- [podcast](https://affpapa.org/en/nevibecode/skills/marswaveai-podcast.md) — skill · 1200 installs
- [descript](https://affpapa.org/en/nevibecode/skills/descript.md) — skill · 585 installs
- [competitor-content-analyzer](https://affpapa.org/en/nevibecode/skills/competitor-content-analyzer.md) — skill · 329 installs
- [tech-podcast-interview-prep](https://affpapa.org/en/nevibecode/skills/tech-podcast-interview-prep.md) — skill · 10400 installs
- [Podcast Automation](https://affpapa.org/en/nevibecode/skills/podcast-automation.md) — skill · 4600 installs

From the same set: [davila7/claude-code-templates](https://affpapa.org/en/nevibecode/by/davila7/claude-code-templates.md) — 205 cards

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NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md