📱 TikTok App Marketing Skill

Automate your entire TikTok + Instagram slideshow marketing pipeline with AI: generate → overlay → post → track → iterate.

An OpenClaw / AI agent skill that turns your app marketing into a data-driven machine. Based on Larry's methodology that achieved 7M+ views, 1M+ TikTok views, and $670/month MRR — all from an AI agent.

What It Does

1. Researches competitors — browser-based analysis of what's working in your niche
2. Generates AI images — photorealistic slideshow slides (OpenAI, Stability AI, Replicate, or bring your own)
3. Adds text overlays — node-canvas powered, battle-tested sizing and positioning from 100+ viral posts
4. Posts to 10+ platforms simultaneously — via Upload-Post API (TikTok, Instagram, YouTube, LinkedIn, X, Threads, Pinterest, Reddit, Bluesky)
5. Tracks analytics — platform-level stats + per-post performance via Upload-Post
6. Iterates based on data — daily feedback loop that tells you what's working and what to change
7. Optional: Tracks conversions — RevenueCat integration for full funnel intelligence (views → downloads → paying users)

Quick Start

Prerequisites

• Node.js v18+
• node-canvas (npm install canvas) — for text overlays
• Upload-Post account — handles multi-platform posting + analytics
• Image generation API (pick one): OpenAI, Stability AI, Replicate, or local images

Installation

If you're using OpenClaw:

# Install as a skill
npx skills add Upload-Post/upload-post-larry-marketing-skill

Or clone directly:

git clone https://github.com/Upload-Post/upload-post-larry-marketing-skill.git
cd tiktok-marketing-skill
npm install canvas

Setup

1. Initialize the workspace:

node scripts/onboarding.js --init --dir tiktok-marketing/

2. Fill in tiktok-marketing/config.json:

{
  "app": {
    "name": "YourApp",
    "description": "What your app does",
    "audience": "Who it's for",
    "problem": "What pain it solves",
    "category": "home|beauty|fitness|productivity|food|other"
  },
  "imageGen": {
    "provider": "openai",
    "apiKey": "YOUR_OPENAI_KEY",
    "model": "gpt-image-1.5"
  },
  "uploadPost": {
    "apiKey": "YOUR_UPLOAD_POST_KEY",
    "profile": "your_profile",
    "platforms": ["tiktok", "instagram"]
  }
}

3. Validate your config:

node scripts/onboarding.js --validate --config tiktok-marketing/config.json

Create Your First Post

# 1. Generate 6 slideshow images
node scripts/generate-slides.js \
  --config tiktok-marketing/config.json \
  --output tiktok-marketing/posts/my-first-post/ \
  --prompts prompts.json

# 2. Add text overlays
node scripts/add-text-overlay.js \
  --input tiktok-marketing/posts/my-first-post/ \
  --texts texts.json

# 3. Post to TikTok + Instagram
node scripts/post-to-platforms.js \
  --config tiktok-marketing/config.json \
  --dir tiktok-marketing/posts/my-first-post/ \
  --caption "Your caption here #hashtag1 #hashtag2"

# 4. Check analytics
node scripts/check-analytics.js --config tiktok-marketing/config.json --days 3

The Feedback Loop

This is what makes the skill actually work. It's not just "post and pray" — it's a data-driven optimization engine.

Every morning, the daily report:

1. Pulls platform analytics from Upload-Post (followers, impressions, reach)
2. Checks upload history (per-post success/failure, post URLs)
3. If RevenueCat connected: pulls conversion data (trials, subscribers, revenue)
4. Applies the diagnostic framework:

Views	Conversions	Action
🟢 High	🟢 High	SCALE IT — make 3 variations of the winning hook
🟢 High	🔴 Low	FIX THE CTA — hook works, downstream is broken
🔴 Low	🟢 High	FIX THE HOOKS — content converts, needs more eyeballs
🔴 Low	🔴 Low	FULL RESET — try radically different approach

node scripts/daily-report.js --config tiktok-marketing/config.json --days 3

File Structure

tiktok-marketing-skill/
├── SKILL.md                    # Full skill documentation (for AI agents)
├── _meta.json                  # Skill metadata
├── scripts/
│   ├── onboarding.js           # Config validator + directory initializer
│   ├── generate-slides.js      # Image generation (OpenAI/Stability/Replicate/local)
│   ├── add-text-overlay.js     # Text overlay with node-canvas
│   ├── post-to-platforms.js    # Multi-platform posting via Upload-Post
│   ├── check-analytics.js      # Analytics + upload history checker
│   ├── daily-report.js         # Daily marketing report with diagnostics
│   └── competitor-research.js  # Research helper (placeholder)
└── references/
    ├── slide-structure.md      # 6-slide formula + hook writing guide
    ├── app-categories.md       # Category-specific templates
    ├── analytics-loop.md       # Analytics API reference
    ├── competitor-research.md  # Research methodology
    └── revenuecat-integration.md # RevenueCat setup guide

Why Upload-Post?

Upload-Post is the engine that powers multi-platform posting and analytics:

• One API call → 10+ platforms — TikTok, Instagram, YouTube, LinkedIn, X, Threads, Pinterest, Reddit, Bluesky
• Automatic tracking — every post gets a request_id, no manual video-ID linking needed
• Platform analytics — followers, impressions, reach, profile views with timeseries data
• Upload history — per-post success/failure, post URLs, platform-specific IDs
• Async processing — submit and check status later

Sign up at upload-post.com

Proven Hook Formulas

Tier 1: Person + Conflict → AI → Changed Mind (BEST)

• "I showed my mum what AI thinks our kitchen should look like" (161K views)
• "My landlord said I can't change anything so I showed her this" (124K views)

Tier 2: Relatable Budget Pain

• "POV: You have good taste but no budget"
• "I can't afford an interior designer so I tried AI"

See references/slide-structure.md for the complete hook writing guide.

Tips

• Always use portrait (9:16) — fills the TikTok screen
• Add trending music — TikTok posts go to inbox as drafts, add a trending sound before publishing
• 3 posts/day minimum — consistency beats sporadic viral hits
• Use gpt-image-1.5 if using OpenAI — never gpt-image-1 (massive quality difference)
• Cross-post everything — same content, different algorithms, more surface area

License

MIT

Credits

Based on Larry's TikTok marketing methodology. Adapted for Upload-Post multi-platform API.