# video-understand

> Use this tool when you need to analyze and understand video content, such as object detection, scene recognition, and action identification, to solve problems like content moderation, video summarization, and media analysis. It takes video files or streams as input and outputs metadata, tags, or summaries of the content. Ideal for applications like video search, recommendation systems, and automated content review.

Canonical page: https://skillsregistry.net/skills/sifr42-video-understand  
JSON: https://api.skillsregistry.net/v1/skills/sifr42-video-understand

## Description

Analyze and understand video content using AI.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-05-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/sifr42-video-understand)

## 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": "sifr42-video-understand"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sifr42-video-understand` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sifr42-video-understand/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