A browser-based automation tool for programmatically uploading videos, managing captions, and scheduling TikTok posts for optimal engagement.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install tiktok-poster
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 tiktok-poster 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 Poster skill is a powerful automation utility designed to handle the end-to-end process of publishing content on TikTok via browser interaction. By utilizing Openclaw Skills, developers can automate the uploading of videos up to 10 minutes in length, ensuring consistent delivery without manual intervention. This skill manages everything from caption insertion and hashtag optimization to advanced settings like privacy controls, duet permissions, and comment management.
Beyond simple posting, it integrates sophisticated strategy elements such as trend analysis and engagement tracking. It is built to navigate the TikTok Creator Center efficiently, using persistent session management to bypass frequent logins while maintaining high security and reliability for creators and developers alike.
To get started with this skill, ensure you have Node.js installed and set up the Puppeteer environment.
npm install puppeteer
Before running the automation, you must perform a manual login once to generate the tiktok-cookies.json file. This allows the Openclaw Skills workflow to bypass QR code or MFA challenges in subsequent runs.
The skill organizes its operation around video metadata and session persistence. Below is the primary data structure used for automation:
| Component | Description | Format |
|---|---|---|
tiktok-cookies.json |
Persistent session tokens and authentication data | JSON |
SELECTORS |
A map of data-testids for TikTok's UI components | Object |
post_config |
Parameters including videoPath, caption, and hashtags | Object |
analytics_log |
Records of views, engagement, and follower growth | CSV/JSON |
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