A comprehensive AI agent skill designed to automate the entire TikTok slideshow marketing pipeline from competitor research to conversion-driven iteration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install larry
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install larry using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The TikTok App Marketing skill is a sophisticated automation framework designed for developers and marketers to scale their app presence on social media. By leveraging this tool within the Openclaw Skills ecosystem, users can move beyond simple posting to a data-driven marketing machine. The skill manages the end-to-end lifecycle of content creation, including competitor analysis, photorealistic image generation, and programmatic text overlays optimized for the TikTok algorithm.
At its core, this skill bridges the gap between creative production and analytical performance. It integrates seamlessly with Postiz for multi-platform distribution and RevenueCat for bottom-of-the-funnel conversion tracking. This allows the AI agent to distinguish between viral content that simply gains views and high-converting content that drives actual revenue, enabling a self-improving feedback loop that refines hooks and CTAs based on real-world performance data.
To get started with this skill in your Openclaw Skills environment, ensure you have Node.js (v18+) installed.
Install the canvas library for image processing:
npm install canvas
Set your API keys for the chosen providers:
export POSTIZ_API_KEY=your_key
export RC_API_KEY=your_revenuecat_key
export OPENAI_API_KEY=your_openai_key
Run the onboarding script to define your app profile and strategy:
node scripts/onboarding.js --validate
The skill organizes its operations through a structured directory in tiktok-marketing/. Key files include:
| File | Description |
|---|---|
app-profile.json |
Stores core app data, audience demographics, and value propositions. |
config.json |
The source of truth for API keys, image generation models, and posting schedules. |
strategy.json |
Contains the current content plan, hook categories, and cross-posting settings. |
competitor-research.json |
Insights gathered from TikTok and App Store analysis. |
hook-performance.json |
Historical data tracking views vs. conversions for specific text hooks. |
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