linkedin-automation

What This Skill Does

The linkedin-automation skill is a comprehensive agent-based toolkit designed to manage and interact with LinkedIn through a persistent Playwright browser instance. It allows your AI agent to post text and image-based content, engage with the feed by commenting or reposting, and perform administrative actions like editing or deleting your own comments. Furthermore, it provides deep integration features, such as mention handling in comments, monitoring likes for engagement opportunities, and scraping activity for analysis. By leveraging a headless Chromium profile, it maintains a logged-in state, allowing for automated tasks ranging from simple content publishing to complex engagement tracking and audience growth strategies.

Installation

To begin, ensure you have Python 3.10+ installed on your system. First, set up the necessary browser environment by running pip install playwright && playwright install chromium. Once the prerequisites are met, you can install the skill using the command clawhub install openclaw/skills/skills/red777777/inkedin-automation-that-really-works. After installation, navigate to scripts/lib/browser.py to update your session paths to match your local file structure. Always verify the session validity using python3 $CLI check-session before executing automated tasks.

Use Cases

This skill is perfect for professionals looking to streamline their LinkedIn presence without manual intervention. Common use cases include: 1) Automated scheduling of content calendar entries with image uploads. 2) Routine engagement cycles, where the agent monitors likes and suggests meaningful, personalized comments. 3) Cross-platform content strategy, where your AI drafts and posts updates across different networks. 4) Data-driven audience growth, analyzing the performance of your recent posts to refine future content strategy. 5) Managing complex discussions where editing or deleting comments is required to maintain professional standards.

Example Prompts

1. "Check my latest LinkedIn analytics and tell me which of my last 5 posts performed best in terms of engagement."
2. "Find the most recent post by [Profile Name] and leave a comment thanking them for their insight, making sure to mention them correctly."
3. "Schedule a post for tomorrow morning at 9 AM that includes the image in my downloads folder titled 'annual-report.png' with the caption 'Check out our latest annual growth metrics!'."

Tips & Limitations

This tool is strictly for personal, non-commercial use. LinkedIn's terms of service are stringent; avoid using this to spam, perform mass outreach, or scrape large amounts of user data, as this may lead to permanent account suspension. Always include the explicit user approval step in your agent's workflow before executing any write operations (post, edit, delete). The mention system relies on the LinkedIn typeahead UI; if the UI fails to load, the mention will fall back to plain text. Always monitor the debug output by setting LINKEDIN_DEBUG=1 when testing new scripts.