Ai Content Pipeline Automation

A TypeScript pipeline that chains together web scraping, Claude/OpenAI content generation, and Remotion video rendering to turn keywords into full marketing packages. It crawls TechCrunch, a16z, and social platforms for recent news, feeds that context into AI to write blog posts in different formats (how-to, case study, toplist), then renders short-form videos optimized for Reels and TikTok. Supports Vietnamese and English output. The real value is in the orchestration: research to script to video all happens programmatically, which is useful if you're churning out social content at volume. The Remotion integration means you can template your video styles and let the pipeline handle the repetitive parts. Built on Next.js with sensible separation between scraping, AI, and rendering modules.

skills.sh installs: 505
GitHub stars: 4
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/marketing-skills --skill ai-content-pipeline-automation --agent claude-code

Installs into .claude/skills of the current project.

Files

AI Content Pipeline Automation

Skill by ara.so — Marketing Skills collection.

This skill enables AI coding agents to work with Ultimate AI Content Pipeline, a TypeScript-based automation system that transforms keywords into complete content packages: research, scripts, blog posts, and rendered videos. The pipeline leverages Claude 3, OpenAI, web scraping, and Remotion for end-to-end content creation.

What This Project Does

The AI Content Pipeline automates:

Research: Crawls recent news from TechCrunch, a16z, Twitter, LinkedIn within 24h
Content Generation: Creates blog posts in multiple formats (toplist, POV, case study, how-to) in Vietnamese and English
Video Rendering: Automatically generates infographics and short-form videos using Remotion
Multi-platform Export: Optimized output for Reels, TikTok, Shorts

Installation

# Clone the repository
git clone https://github.com/pennydinh/marketing-pineline-share.git
cd marketing-pineline-share

# Install dependencies
npm install
# or
yarn install
# or
pnpm install