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dangngocbinh
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video-production-director

Orchestrate end-to-end video production workflows with checkpoint-based progress tracking.

2|1|Updated Jan 24, 2026
Search Tags:#automation#workflow#AI#orchestrate#video-production#Remotion
One-click install
npx skills add https://github.com/dangngocbinh/vibedio --skill video-production-director
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: video-production-director
Source: https://github.com/dangngocbinh/vibedio/tree/main/.claude/skills/video-production-director
Command: npx skills add https://github.com/dangngocbinh/vibedio --skill video-production-director

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rapidfuzz, requests, python-dotenv, and includes scripts (resource) components.

## What problem does it solve? This MASTER SKILL coordinates a complex end-to-end video production pipeline by unifying script creation, voice generation, resource discovery, asset mapping, and timeline assembly under a single orchestrator, dramatically accelerating content creation with AI.

## Core Features & Use Cases

  • Orchestrates multi-step AI video workflows (script, voice, resources, assets, editing) from a single entry point.
  • Supports both AI-generated media and user-provided media, with smart asset mapping and resource planning to keep visuals cohesive.
  • Common use cases include social shorts, tutorials, and marketing videos produced rapidly from a topic description.

### Quick Start For example, provide a topic and a short brief; the agent will initialize a project, propose a ratio, and guide you through checkpoint-driven steps, reporting progress before and after each action.

Frequently Asked Questions about video-production-director

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

FAQPage Schema
How do I automate end-to-end video production from a single topic description?▼

This skill orchestrates AI video production by unifying script creation, voice generation, resource discovery, and timeline assembly under a single orchestrator. It handles both AI-generated and user-supplied media to produce finished videos from a topic description.

How does the checkpoint-based process work for AI video workflows?▼

The checkpoint-based process tracks progress via a production_status.json file, reporting status before and after each step. It enforces a structured workflow integrating script_cli.py, voice-generation, resource-finder, and editor components to assemble the final video.

Can I use my own media assets instead of AI-generated visuals in the workflow?▼

Yes, the video production workflow supports both AI-generated and user-supplied media. It applies smart asset mapping and resource planning to keep your provided visuals cohesive within the assembled timeline.

What types of videos are best suited for this AI orchestration workflow?▼

This AI orchestration workflow is best suited for short social videos, tutorials, marketing content, and educational videos. It rapidly produces these formats from a topic description using automated script, voice, and editing pipelines.

Does this video production skill work with Remotion for timeline assembly?▼

Yes, the skill orchestrates video production using Remotion. It coordinates script, voice-generation, and resource-finder components, mapping assets and assembling the timeline to produce a finished video.

What dependencies are required to run this AI video production orchestrator?▼

Running this AI video production orchestrator requires the rapidfuzz, requests, and python-dotenv dependencies. These libraries support script execution, API requests, and environment variable management needed for the workflow.

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