Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generates a 6-slide TikTok carousel with images and text, creates a draft post via Postiz API, and outputs a caption for review and publishing.
Generates a 6-slide TikTok carousel with images and text, creates a draft post via Postiz API, and outputs a caption for review and publishing.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
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.
Create and activate a Python virtual environment. Install dependencies: pip install -r requirements.txt. Create environment variables: OPENAI_API_KEY (for image/text generation) and POSTIZ_API_KEY (optional, for uploading and creating drafts). Run the generator (examples in README.md / scripts/).
tiktok_content_gen.py β orchestrator: creates hook, locked architecture, images, captions and can upload a draft. postiz_api_integration.py β small Postiz client used to upload media and create drafts (keeps drafts private by default). scripts/generate.py β thin CLI wrapper to run generation locally. scripts/upload.py β CLI wrapper to upload generated images and create a draft. requirements.txt β Python dependencies.
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).
Keep API keys out of source control and use environment variables. Image generation costs depend on the model (DALLΒ·E 3 or similar). Use batching or lower-res variants for cost savings. Installation details and examples are in README.md inside this folder.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
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