This is a complete TikTok marketing automation system built around the Upload-Post API. It handles competitor research, generates AI slideshow images, adds text overlays, posts to TikTok and Instagram simultaneously, then tracks analytics to figure out what's working. The interesting part is the feedback loop: it connects Upload-Post's view data with RevenueCat's conversion tracking so your agent can tell the difference between a viral post that makes no money and a modest one that actually converts, then adjusts hooks and CTAs accordingly. The author claims 7 million views and $670/month MRR running this on a gaming PC. Use it when you want automated social posting with actual intelligence behind what gets repeated.

skills.sh installs
232
GitHub stars
43
last updated
Aug 21, 2026

Install

$ npx -y skills add upload-post/upload-post-larry-marketing-skill --skill tiktok-app-marketing --agent claude-code

Installs into .claude/skills of the current project.

Files

TikTok App Marketing

Automate your entire TikTok slideshow marketing pipeline: generate → overlay → post → track → iterate.

Proven results: 7 million views on the viral X article, 1M+ TikTok views, $670/month MRR — all from an AI agent running on an old gaming PC.

Prerequisites

This skill does NOT bundle any dependencies. Your AI agent will need to research and install the following based on your setup. Tell your agent what you're working with and it will figure out the rest.

Sponsors

Details

Repository
github.com/upload-post/upload-post-larry-marketing-skill
Categories
Frontend Development, Backend & APIs, Testing & QA, Data Science & ML, Debugging, Automation & Workflows, Marketing & SEO
First seen
Jun 3, 2026
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