A professional automation toolkit for the Threads platform powered by Chrome CDP and Python.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install threads-skill
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 threads-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The threads-skills package is a comprehensive suite designed for full automation of the Threads platform. Built as part of the Openclaw Skills ecosystem, it leverages Chrome CDP to drive a real browser, ensuring high reliability for tasks like authentication, content scraping, and automated posting. This tool is essential for developers and marketers looking to scale their presence on Threads through programmatic interaction and data-driven insights. By utilizing Openclaw Skills, developers can bridge the gap between AI-driven content generation and active social media management.
Ensure you have python3 and uv installed. If using the GUI assistant on macOS, you must install tkinter. These steps ensure your environment is ready for Openclaw Skills deployment.
# Install GUI dependencies (macOS)
brew install python-tk
# Launch the browser environment
python scripts/chrome_launcher.py
# Perform initial account authentication
python scripts/cli.py login
The skill maintains local records to ensure efficiency and safety. The following table describes the primary data points tracked by these Openclaw Skills:
| Data Type | Storage Path | Purpose |
|---|---|---|
| Reply History | ~/.threads/replied_posts.json |
Prevents duplicate interactions on the same thread. |
| Filter Config | ~/.threads-filter-comment.json |
Stores AI API keys, keywords, and exclusion lists. |
| Account Metadata | Internal Database | Manages descriptions and default status for multi-account setups. |
| Scoring Matrix | In-Memory/JSON | Calculates Interaction (40%), Source (35%), and Timeliness (25%) scores. |
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