yarn-threads

What This Skill Does

The yarn-threads skill enables the OpenClaw AI agent to interact directly with the Threads platform by Meta via the command line. By leveraging the yarn-threads-cli, the agent can perform a wide range of social media operations, including reading feeds, analyzing user profiles, searching for content, and publishing original threads or replies. This skill essentially bridges the gap between the AI agent's reasoning capabilities and the Threads social ecosystem, allowing for automated social engagement, content monitoring, and profile management.

Installation

To add this capability to your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/jeizzon/yarn-threads-cli

Prerequisites:

1. Ensure you have Node.js installed on your system.
2. Install the underlying CLI globally: npm install -g yarn-threads-cli.
3. Authenticate by either logging into your browser (Chrome/Firefox) or providing manual session tokens to the tool. You can verify your connection status using yarn-threads whoami.

Use Cases

• Social Media Monitoring: Automatically fetch home feeds or track replies to your specific posts to stay updated on community discourse.
• Content Aggregation: Extract data from threads, including text and media metadata, by using the --json flag to process content into a structured format.
• Audience Analysis: Retrieve follower counts, following lists, and user posts for specific handles to analyze network growth or engagement patterns.
• Automated Engagement: Schedule or trigger posts and replies directly from the AI agent without manually navigating the web interface.

Example Prompts

1. "Check my home feed for any recent updates and summarize the latest trends I am following."
2. "Search for the user 'zuck' on Threads and provide a brief overview of their recent posting activity."
3. "Reply to this thread URL with a summary of the points mentioned and include a polite acknowledgment."

Tips & Limitations

• Data Handling: Always use the --json output flag when you need to parse media URLs or metadata for deeper analysis. This ensures the agent receives clean, machine-readable data.
• Authentication: The tool relies on existing browser sessions. If you encounter authentication errors, ensure your cookies are valid and that you have logged into Threads in your primary browser.
• Rate Limiting: Because this interacts with a live platform via API/web scraping, avoid excessive requests that could trigger rate limiting or security challenges from Meta. Use --max-pages to keep data collection requests scoped and efficient.