# vidova-skills

> vidova-skills — youneslaaroussi-vidova-skills. Use this tool when you need to automate video editing tasks using AI, solving problems such as efficient content creation and video post-production. It takes input from various interfaces like Claude Code, Codex, and Gemini CLI, and outputs edited videos, streamlining the editing process. Ideal for use cases where agents require automated video editing capabilities, integrating with git for version control.

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

## Description

Vidova MCP server and skills: an AI video editor your agent drives. Claude Code, Codex, Cursor, Copilot, Gemini CLI, Kiro.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-10-19

## Source

- **Source listing:** [GitHub](https://github.com/youneslaaroussi/vidova-skills)

## 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": "youneslaaroussi-vidova-skills"
    }
  }
}
```

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