YouTube Shorts Pipeline

Automate YouTube Shorts creation from topic input to published video.

4|Updated Mar 6, 2026
One-click install
npx skills add https://github.com/OpenLabor/openlabor --skill youtube-shorts-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: YouTube Shorts Pipeline
Source: https://github.com/OpenLabor/openlabor/tree/main/skills/youtube-shorts-pipeline
Command: npx skills add https://github.com/OpenLabor/openlabor --skill youtube-shorts-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Content creators spend excessive time researching topics, scripting, assembling visuals, and uploading YouTube Shorts. This Skill automates end-to-end creation from topic input to published video, enabling faster production with consistent quality.

Core Features & Use Cases

  • Draft: Topic research, script generation, metadata extraction, and thumbnail prompts to accelerate planning.
  • Produce: Video assembly with b-roll, AI-generated visuals, voiceover, word-level captions, and background music.
  • Upload: Publish to YouTube with hidden/private status by default, attach captions and thumbnail for ready-to-go Shorts.
  • Use Case: Scale Shorts production across multiple channels by reusing topic prompts and brand guidelines.

Quick Start

Use the YouTube Shorts Pipeline to convert a topic into a draft, produce visuals and voiceover, and publish a Short.

Frequently Asked Questions about YouTube Shorts Pipeline

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

FAQPage Schema
How do I automate YouTube Shorts creation from a topic to a published video?

To automate YouTube Shorts creation, you need an end-to-end pipeline that researches topics, generates scripts, produces visuals and voiceover, and uploads via API. This workflow handles all stages from topic input to published video.

Can I generate AI scripts and word-level captions for YouTube Shorts automatically?

Yes, you can generate AI scripts and word-level captions automatically through the production stage. The pipeline creates scripts during drafting and adds word-level captions during video assembly alongside AI-generated visuals and voiceover.

What is the best way to scale video production for multiple YouTube Shorts channels?

Scaling YouTube Shorts production across multiple channels is done by reusing topic prompts and brand guidelines within an automated pipeline. This ensures consistent quality while producing high-volume Shorts from topic inputs.

Does the YouTube Shorts automation pipeline upload videos as private or hidden by default?

The YouTube Shorts automation pipeline uploads videos with hidden or private status by default. It attaches captions and thumbnails during the API-based upload stage so the Short is ready to publish.

Do I need to manually assemble b-roll and background music for automated Shorts?

No, you do not need to manually assemble b-roll and background music. The production stage automatically handles video assembly, integrating b-roll, AI-generated visuals, voiceover, captions, and background music.