# video-edit-tools

> Use this tool when you need to perform precise video editing tasks, such as trimming, resizing, or adding text overlays, to solve problems like content refinement, formatting, and annotation. It takes in video files and editing instructions as inputs and outputs modified video files. Ideal for use cases where automated, deterministic video editing is required, such as content creation, post-production, or video analysis.

Canonical page: https://skillsregistry.net/skills/swimmingkiim-video-edit-tools  
JSON: https://api.skillsregistry.net/v1/skills/swimmingkiim-video-edit-tools

## Description

Enables AI agents to perform deterministic video editing operations like trim, resize, add text, and more using MCP tools.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zzixlueywj)
- **Repository:** <https://github.com/swimmingkiim/video-edit-tools>

## 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": "swimmingkiim-video-edit-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/swimmingkiim-video-edit-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/swimmingkiim-video-edit-tools/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