ai-video-producer

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

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AI video production remains a complex, time-consuming process requiring storyboard design, toolchain integration, and technical execution. This skill automates end-to-end video creation by orchestrating production philosophy, scene breakdown, asset/keyframe generation, and video assembly through Google Flow with MCP Playwright, reducing manual setup and iterative overhead.

Core Features & Use Cases

  • Philosophy-first workflow: establish visual style, motion language, and narrative approach before generation.
  • End-to-end orchestration: main agent coordinates sub-agents for assets, keyframes, segments, and final concatenation.
  • Multi-scene pipeline: plan scenes, segments, and transitions, with mandatory keyframes for each scene.
  • Cloud-based production: Flow-based rendering without local GPU requirements; uses MCP automation.
  • Video types: promotional, educational, narrative, social media, product demos, and more.

Quick Start

Describe the video you want and I will guide you through production philosophy, scene breakdown, and 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 end-to-end AI video production workflows?

To automate AI video production, you must establish a visual style and narrative approach before generation. This skill orchestrates scene breakdown, asset creation, and video assembly through Google Flow using MCP Playwright to generate professional videos with minimal manual input.

Can I generate product demo videos without a local GPU?

Yes, you can generate product demo videos without a local GPU using cloud-based production. This skill handles rendering through Google Flow with MCP Playwright automation, coordinating sub-agents for keyframe generation and scene-to-scene concatenation without local hardware requirements.

What is a philosophy-first video generation pipeline?

A philosophy-first video generation pipeline requires defining visual style, motion language, and narrative approach before creating assets. This enforces a phase-gated process where storyboarding and mandatory keyframes are established for each scene prior to automated video assembly.

How do I orchestrate multi-scene video generation with sub-agents?

To orchestrate multi-scene video generation, a main agent coordinates sub-agents to handle assets, keyframes, and segments. This skill manages scene breakdown, transition planning, and final concatenation while enforcing mandatory pipelines and user approvals between phases.

Does MCP Playwright support automated storyboarding and keyframe generation?

Yes, MCP Playwright supports automated storyboarding and keyframe generation through Google Flow. This skill uses MCP automation to execute the phase-gated process, coordinating sub-agents to generate keyframes and assets required for multi-scene video assembly.

What are the limitations of cloud-based AI video assembly?

Cloud-based AI video assembly requires mandatory user approvals between phase-gated steps and relies on MCP Playwright integration. While it eliminates local GPU requirements, users must still provide initial video descriptions and validate the production philosophy, scene breakdown, and keyframes.