Marketing Pipeline Share Ai Content

This is a full content automation pipeline that takes you from web scraping to published videos. It crawls TechCrunch, a16z, Twitter, and LinkedIn for research data, feeds it into Claude or GPT-4 to generate blog posts and case studies in multiple languages, then uses Remotion to render videos optimized for Reels, TikTok, and Shorts. The TypeScript codebase is structured as a Next.js app with clear separation between AI providers, scrapers, and video generation. You'd use this if you're running a content operation and want to automate the entire workflow instead of stitching together separate tools. The multi-language support and platform-specific video rendering are nice touches, though you'll need API keys for OpenAI, Anthropic, and RapidAPI to make it work.

skills.sh installs: 722
GitHub stars: 4
last updated: Jul 14, 2026

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Install

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

Installs into .claude/skills of the current project.

Files

Marketing Pipeline Share - AI Content Automation

Skill by ara.so — Marketing Skills collection.

This skill enables AI coding agents to work with the Ultimate AI Content Pipeline - a comprehensive TypeScript-based system that automates the entire content creation workflow from research and scriptwriting to video generation and publishing.

What It Does

The Marketing Pipeline Share project provides:

Auto-Research: Crawls and analyzes real-time data from TechCrunch, a16z, Twitter/X, LinkedIn
AI Content Generation: Creates multi-format content (blog posts, case studies, how-tos) using Claude 3 and OpenAI
Multi-Language Support: Generates content in both English and Vietnamese
Video Generation: Automatically renders videos and infographics using Remotion
Platform Optimization: Exports content optimized 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