# dd-video-analyzer

> dd-video-analyzer — zedit42-dd-video-analyzer. Use this tool when you need to analyze video content, extract valuable information, and process multimedia data. It solves problems related to video transcription, frame capture, and content analysis by providing downloadable videos, extracted transcripts, and captured frames as output. Ideal for use cases involving video data extraction, processing, and analysis, such as media monitoring, content review, and research applications.

Canonical page: https://skillsregistry.net/skills/zedit42-dd-video-analyzer  
JSON: https://api.skillsregistry.net/v1/skills/zedit42-dd-video-analyzer

## Description

Download videos, extract transcripts, capture frames.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/zedit42-dd-video-analyzer)

## 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": "zedit42-dd-video-analyzer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zedit42-dd-video-analyzer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zedit42-dd-video-analyzer/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