# video-sourcing

> video-sourcing — samuelz12-video-sourcing. Use this tool when you need to efficiently source videos through a conversational interface, solving problems such as content creation and media research by providing a deterministic and concise chat experience. It takes in user input and outputs relevant video sources, streamlining the video discovery process. Ideal for use cases where quick and accurate video sourcing is required, such as content creation, research, or media planning.

Canonical page: https://skillsregistry.net/skills/samuelz12-video-sourcing  
JSON: https://api.skillsregistry.net/v1/skills/samuelz12-video-sourcing

## Description

Run the Video Sourcing Agent with deterministic, concise chat UX for /video_sourcing using a pinned self-bootstrap.

## 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/samuelz12-video-sourcing)

## 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": "samuelz12-video-sourcing"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samuelz12-video-sourcing` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samuelz12-video-sourcing/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