TikTok Carousel Generation Skill (openclaw-style)

Short description

This skill generates a 6-slide TikTok carousel (portrait images + text overlays), drafts a TikTok post using a draft API (Postiz in this repository), and outputs a ready-to-review caption. The focus is cost-effective, reproducible content generation and automating as much of the drafting process as possible while keeping final publishing manual.

Quick install & run

1. Create and activate a Python virtual environment.
2. Install dependencies: pip install -r requirements.txt.
3. Create environment variables: OPENAI_API_KEY (for image/text generation) and POSTIZ_API_KEY (optional, for uploading and creating drafts).
4. Run the generator (examples in README.md / scripts/).

What this skill contains

• tiktok_content_gen.py — orchestrator: creates hook, locked architecture, images, captions and can upload a draft.
• postiz_api_integration.py — small Postiz client used to upload media and create drafts (keeps drafts private by default).
• scripts/generate.py — thin CLI wrapper to run generation locally.
• scripts/upload.py — CLI wrapper to upload generated images and create a draft.
• requirements.txt — Python dependencies.

Inputs / outputs (contract)

• Inputs: target persona/topic, optional prompt seeds, number of slides (default 6), style hints.
• Outputs: images/final_slide_{i}.png, caption.txt, optional Postiz draft (returns draft id/url).

Security & cost notes

• Keep API keys out of source control and use environment variables.
• Image generation costs depend on the model (DALL·E 3 or similar). Use batching or lower-res variants for cost savings.

Installation details and examples are in README.md inside this folder.