# ai-video-editor

> ai-video-editor — symbolk-ai-video-editor. Use this tool when you need to automate video editing tasks, such as clipping and creating highlight reels, to solve problems like manual video processing and content creation inefficiencies. It takes in video files and editing instructions as inputs and outputs polished, customized video clips. Ideal for use in content creation, social media, and filmmaking contexts where efficient video editing is crucial.

Canonical page: https://skillsregistry.net/skills/symbolk-ai-video-editor  
JSON: https://api.skillsregistry.net/v1/skills/symbolk-ai-video-editor

## Description

Use this skill immediately and proactively when the user mentions video editing, clipping, highlight reels.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/symbolk-ai-video-editor)

## 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": "symbolk-ai-video-editor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/symbolk-ai-video-editor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/symbolk-ai-video-editor/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