According to AlphaMoat, as of 2026-09, tiktok-carousel has 2,954 downloads and 0 stars — ranked #3,758 of 5,078 AI skills overall, and #357 of 512 in Design & Media.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 37 | 1.3K | - | - |
| SkillHub ↗ | 1.3K | 3.0K | - | — |
Platforms count differently and update at different times.
From a persona or topic it produces a set of portrait images with text overlays, writes the matching caption, and creates a private draft through a draft API. Publishing stays manual and drafts are private by default, while image and text generation need a model key and the upload key stays optional. It produces six portrait slides, and publishing the post remains a manual step.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 3.0K | — | - |
| 2026-08 | 2.6K | +6.5% | - |
| 2026-07 | 2.5K | +10.4% | - |
| 2026-06 | 2.2K | +7.1% | - |
| 2026-05 | 2.1K | — | - |
| 2026-03 | 1.8K | — | - |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
# 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.ContextWeave one-shot architecture diagram generation
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.