A browser-based AI skill for managing LinkedIn professional networking, messaging, and profile research through automated relay or isolated sessions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install linkedin
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install linkedin using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is LinkedIn Automation?
The LinkedIn skill for Openclaw Skills enables AI agents to interact with the world's largest professional network using real browser environments. It facilitates seamless navigation through LinkedIn's interface to perform tasks such as checking notifications, searching for talent or leads, and managing professional correspondence. By using browser-level integration, it bypasses traditional API limitations while maintaining high security and session persistence.
This skill is designed with a safety-first approach, ensuring that all sensitive actions like sending connection requests or messages require explicit user confirmation. Whether you are conducting market research or managing high-volume networking, this integration provides a robust framework for professional automation.
LinkedIn Automation Use Cases
- Monitoring and summarizing LinkedIn messaging threads to stay on top of professional inquiries.
- Automating searches for specific job titles or industries to build prospect lists.
- Researching specific profiles to provide context for AI-driven meeting preparation.
- Managing connection requests and outreach campaigns with human-in-the-loop approval steps.
How LinkedIn Automation Works
- The AI agent establishes a connection via the Clawdbot Browser Relay or an isolated browser profile.
- The skill navigates to the target LinkedIn URL, such as the messaging portal or a search result page.
- The agent performs a snapshot action to capture the current state of the page for analysis.
- Based on the analyzed data, the agent executes specific browser actions like clicking buttons or typing message text.
- Security checks are applied to ensure rate limits are respected and messages are only sent after user verification.
LinkedIn Automation Setup
To utilize this skill within the Openclaw Skills framework, you can choose between two primary connection methods:
Method 1: Chrome Extension Relay (Recommended)
- Open LinkedIn in your Chrome browser and log in to your account.
- Click the Clawdbot Browser Relay icon to attach the tab to the agent.
- Configure your agent to use the
browsertool withprofile="chrome".
Method 2: Isolated Browser Profile
- Initialize the browser tool with a dedicated profile name.
browser action=navigate profile=clawd targetUrl="https://www.linkedin.com"
- Log in manually within the browser window that appears; your session will be saved for future use.
LinkedIn Automation Data Schema & Taxonomy
| Component | Description |
|---|---|
| browser profile | Determines if the agent uses the local Chrome session or an isolated 'clawd' container. |
| targetUrl | The specific LinkedIn endpoint (e.g., /messaging, /search, /in/username). |
| li_at | An optional advanced session cookie for maintaining authenticated states. |
| snapshot | Markdown or image-based representation of the LinkedIn DOM for agent processing. |
LinkedIn Automation Advanced Features
- Support for persistent browser sessions that survive agent restarts.
- Advanced session cookie (li_at) extraction for developers requiring deeper API-like integration.
- Built-in rate limiting logic to keep automation under the recommended 30 actions per hour.
- Interactive 'act' commands that allow for complex UI interactions like navigating dropdowns and multi-step forms.
- Seamless transition between Chrome-relayed tabs and headless browser instances.
SKILL.md
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