marketing-pipeline-ai-content-automation

This skill provides a TypeScript-based automation pipeline that crawls news sources, generates marketing content using Claude or OpenAI, and renders videos with Remotion.

501
Installs
4
Use cases
9/10
Quality

Is marketing-pipeline-ai-content-automation safe to install?

Review the source first

Review the source first: our audit of marketing-pipeline-ai-content-automation's source files found 9 shell commands, 1 external URL, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands, performs network requests to external APIs, and writes video files to the local filesystem.

How we audit skills: our security review methodology.

Who is this skill for?

Marketing teams and developers building automated content workflows.

What can you do with it?

  • Automated research from news sources like TechCrunch and Twitter
  • Multi-format content generation including toplists and case studies
  • Multi-language content creation in English and Vietnamese
  • Automated video rendering for social media platforms

How good is this skill?

Quality score: 9/10. The documentation is comprehensive, providing clear code examples for every module and setup instructions. It includes necessary error handling and best practices.

What does the skill file contain?

SKILL.md
# Marketing Pipeline AI Content Automation

> Skill by [ara.so](https://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 to video generation. The pipeline crawls news sources, generates multi-format content using Claude/OpenAI, and renders videos automatically using Remotion.

## What This Project Does

The marketing-pipeline-share project provides:

- **Automated Research**: Crawls TechCrunch, a16z, Twitter, LinkedI...

Frequently asked questions

Which AI models does this pipeline support?

The pipeline supports Claude via the Anthropic SDK and OpenAI models.

Can I add custom news sources for research?

Yes, the ResearchCrawler allows adding custom sources by defining a name, URL, and fetch function.

What video formats are supported?

The pipeline supports 9:16, 16:9, and 1:1 aspect ratios, optimized for platforms like TikTok, Reels, and YouTube Shorts.

Data sourced from aradotso/marketing-skills on GitHub. Install counts from skills.sh. The summary and security audit are derived from the skill's source files: every command and URL listed appears verbatim in the source.

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