# NextCut

> Use this tool when you need to automate video editing workflows and streamline media production. NextCut solves problems such as manual video editing, captioning, and metadata management by providing features like clip stitching, silence removal, and burned-in captions. It accepts video clips and templates as inputs and outputs edited videos with extracted metadata, ideal for use in high-volume video production contexts.

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

## Description

Automate video creation and editing workflows by rendering scenes, templates, and slideshows programmatically. Edit media quickly with features for stitching clips, removing silence, trimming segments, and adding burned-in captions. Monitor production pipelines through job tracking and detailed metadata extraction.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-07-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/NextCut/nextcut)

## 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": "nextcut-nextcut"
    }
  }
}
```

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