# ContentFlow

> Use this tool when you need to analyze business podcast content for research and insights. ContentFlow provides access to a vast corpus of transcripts, enabling search and analysis of entities, speakers, and topics across thousands of hours of content. Ideal for market research, trend analysis, and content creation, it accepts search queries as input and outputs relevant transcript excerpts and analytics.

Canonical page: https://skillsregistry.net/skills/contentflow  
JSON: https://api.skillsregistry.net/v1/skills/contentflow

## Description

Provides access to a large corpus of business podcast transcripts. Search and analyze transcripts, entities, and speakers across thousands of hours of business podcast content for research and content analysis.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/contentflow)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "contentflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/contentflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/contentflow/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt