# vea

> vea — shawnshenopeninterx-vea. Use this tool when you need to automate video editing tasks, such as processing and generating highlights, to streamline video production workflows and save time. VEA takes in raw video footage and outputs edited videos with selected highlights, solving problems like manual editing and content curation. Ideal for use cases like sports, events, and social media video creation, where efficient video editing is crucial.

Canonical page: https://skillsregistry.net/skills/shawnshenopeninterx-vea  
JSON: https://api.skillsregistry.net/v1/skills/shawnshenopeninterx-vea

## Description

Video Editing Agent (VEA) for automated video processing, highlight generation, and editing.

## 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:** 2026-09-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/shawnshenopeninterx-vea)

## 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": "shawnshenopeninterx-vea"
    }
  }
}
```

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