Use Case
LinkedIn Autopilot is a powerful AI agent skill that extends your assistant with new capabilities. Your agent builds your LinkedIn presence while you sleep. Schedule posts, auto-engage with target accounts, run personalized DM sequences, and never miss an engagement opportunity. Handles connection requests, profile visiting campaigns, post engagement, and follow-up sequences with safety throttling and human-like behavior patterns. Configure your targets, define engagement rules, and let your agent network 24/7. Use when setting up LinkedIn automation, managing posting schedules, running engagement campaigns, or building agent-driven LinkedIn lead generation workflows. This guide walks you through installing LinkedIn Autopilot, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install LinkedIn Autopilot: npx clawhub@latest --dir ~/.claude/skills install linkedin-autopilot
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to marketing & growth to trigger LinkedIn Autopilot
Review the output and refine your prompt for better results
Combine LinkedIn Autopilot with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing LinkedIn Autopilot
Help me get started with LinkedIn Autopilot
What can LinkedIn Autopilot do for my marketing & growth workflow?
Show me an example of using LinkedIn Autopilot
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install linkedin-autopilotOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install linkedin-autopilotβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/linkedin-autopilot/π‘Extract and place the folder at the path above, then restart your agent.