Agent skill · marketing growth · aradotso
marketing-content-pipeline-automation
Automate content creation from research to video generation using AI (Claude, OpenAI) and Remotion
Why this skill is useful
Adds executable scripts for automating content research, generation, and video rendering that are not commonly found in public documentation.
What it needs
Requires npm installed locally. Requires anthropic, openai, rapidapi account access. About 6k tokens when loaded. Last updated 2026-08-05. 8 stars on the source repository.
What this skill does
Marketing Content Pipeline Automation Skill by ara.so — Marketing Skills collection. This skill enables AI coding agents to help developers build and use an automated content creation pipeline that handles research, script generation, and video rendering using AI models (Claude 3, OpenAI) and Remotion. What This Project Does Ultimate AI Content Pipeline is a complete content automation system that: Auto-researches trending topics from sources like TechCrunch, a16z, Twitter/X, LinkedIn Generates multi-format content (listicles, POV pieces, case studies, how-tos) in multiple languages Renders videos automatically from written content using Remotion Optimizes for multiple platforms (Reels, TikTok, Shorts) The pipeline transforms a single keyword into complete, multi-format content ready for publication. Installation Environment Configuration Create a .env.local file in the root directory: Project Structure Core Workflows 1. Research & Data Collection 2. AI Content Generation 3. Video Generation with Remotion 4. Complete Pipeline Example API Endpoints Next.js API Routes Common Patterns Multi-Language Content Generation Batch Content Processing Custom Video Templates Troubleshooting API Rate Limits Video Rendering Memory Issues Research Data Quality Development Commands Best Practices 1. Cache research data to avoid redundant API calls 2. Use streaming responses for real-time content generation feedback 3. Implement queue systems for video rendering (CPU-intensive) 4. Store generated content in a database for reuse 5. Monitor API costs with usage tracking 6. Version your prompts for reproducible results 7. Test video templates before batch processing This skill enables AI agents to effectively implement and customize automated content pipelines using this TypeScript-based system.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aradotso/marketing-content-pipeline-automation