ai-video-producer

Automate end-to-end AI video production workflows using Google Flow via MCP Playwright.

10|1|Updated Jan 3, 2026
One-click install
npx skills add https://github.com/zysilm-ai/video-producer-skill --skill ai-video-producer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-video-producer
Source: https://github.com/zysilm-ai/video-producer-skill/tree/main/skills/gemini-video-producer
Command: npx skills add https://github.com/zysilm-ai/video-producer-skill --skill ai-video-producer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates end-to-end AI-driven video production workflows using Google Flow via MCP Playwright, reducing manual setup and coordination overhead.

Core Features & Use Cases

  • Philosophy-first workflow to establish visual style and narrative approach before production.
  • Scene breakdown, keyframe generation, asset creation, and sequential segment orchestration to deliver final videos.
  • Outputs include philosophy.md, style.json, scene-breakdown.md, and pipeline.json, enabling scalable production for promotional, educational, and narrative content.

Quick Start

Start by configuring your production philosophy and scene plan, then approve the pipeline to begin automated video generation.

Frequently Asked Questions about ai-video-producer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate AI video production workflows end-to-end?

AI video production workflows are automated by orchestrating Google Flow through MCP Playwright, establishing a visual philosophy, generating keyframes, and assembling final video segments.

What do I need to generate videos with Google Flow via MCP Playwright?

To generate videos with Google Flow via MCP Playwright, you need an active Google Flow account and the MCP Playwright server configured to execute the sequential asset and segment orchestration.

How do I maintain visual consistency across multiple video segments?

Visual consistency across video segments is maintained by defining a philosophy.md and style.json file before production, which guides the keyframe generation and asset creation sub-agents.

Can I use AI video production for marketing and educational content?

AI video production is suitable for marketing, education, and entertainment teams needing rapid generation of promotional, instructional, or narrative videos with consistent visual language.

What is the pipeline structure for AI video generation?

The AI video generation pipeline outputs structured files including philosophy.md, style.json, scene-breakdown.md, and pipeline.json to coordinate asset, keyframe, and segment sub-agents.

How does an MCP Playwright server orchestrate video keyframes?

An MCP Playwright server orchestrates video keyframes by automating Google Flow interactions, triggering sub-agents to generate assets and sequential segments based on the approved scene breakdown.