Use Case
LinkedIn Autopilot isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. 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 covers how to deploy LinkedIn Autopilot for your team, standardize prompts, and create shared workflows that everyone can use.
Install LinkedIn Autopilot in your project directory: .claude/skills/linkedin-autopilot/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use LinkedIn Autopilot in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing LinkedIn Autopilot
How can my team use LinkedIn Autopilot together?
Set up LinkedIn Autopilot for our project so everyone can use it
Create a shared workflow using LinkedIn Autopilot for our team
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.