Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
Automates the full TikTok slideshow marketing pipeline for apps and products. Covers competitor research, AI image generation, text overlays, scheduling via Postiz, and daily analytics reporting. A feedback loop cross-references post views with subscription revenue data to optimize hooks and CTAs for paying users, not just reach.
Combines per-post TikTok analytics from Postiz with RevenueCat subscription data so you can distinguish posts that go viral from posts that actually generate revenue.
When to use it
- Launching TikTok slideshows for a new mobile app
- Finding which hooks drive paid subscribers versus just views
- Cross-posting app content to Instagram Reels and YouTube Shorts simultaneously
- Running daily reports that auto-suggest hook variations based on view and conversion data
- Diagnosing funnel breakdowns, whether the problem is the hook, CTA, or app onboarding
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Set up TikTok marketing for my home design app
- 1Interviews the user about their app, audience, and differentiators, then stores the profile to app-profile.json
- 2Searches TikTok to analyze 3-5 competitor accounts, logging hooks, formats, view counts, and content gaps
- 3Generates 6 portrait-orientation slideshow images using gpt-image-1.5 with locked scene anchors to keep all slides visually consistent
- 4Adds text overlays with dynamic font sizing and centered positioning using node-canvas
- 5Schedules the post via Postiz as a SELF_ONLY draft so the user can add a trending sound before publishing
A complete TikTok slideshow draft in the user's inbox, a competitor research file, a content strategy, and a daily analytics cron configured to report each morning
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.