# video-production

> video-production — omerflo-video-production. Use this tool when you need to streamline video production workflows, solving problems such as inefficient video editing and rendering processes. It takes in storyboards and generates batch videos with Veo 3, outputting previewable content in a browser with a feedback loop, utilizing ffmpeg for rendering. Ideal for use cases requiring rapid video iteration and review, such as marketing campaigns or social media content creation.

Canonical page: https://skillsregistry.net/skills/omerflo-video-production  
JSON: https://api.skillsregistry.net/v1/skills/omerflo-video-production

## Description

Complete A/B video pipeline — storyboard, Veo 3 batch generation, browser preview with feedback loop, and ffmpeg.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** devops-ci
- **Updated:** 2026-09-24

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/omerflo-video-production)

## 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": "omerflo-video-production"
    }
  }
}
```

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