
Linkedin Engagement
This automates the entire LinkedIn engagement flow: finds a post on your topic, drafts a thoughtful comment, waits for your approval in chat, then posts it. The whole loop runs once per invocation, so you're not blindly firing off comments. It's genuinely useful if you want to stay active on LinkedIn without the manual hunting and context switching, though you're still trusting an agent to find appropriate posts and draft something that sounds like you. Setup requires LinkedIn session credentials in a local .env file, and everything stays on your machine. Invoke it by asking Claude to engage on a specific topic or just "find a post to comment on."
- GitHub stars
- 357
- last updated
- Jun 11, 2026
Install
$ npx -y skills add zhixiangluo/10xproductivity --skill linkedin-engagement --agent claude-codeInstalls into .claude/skills of the current project.
Files
Canonical:
workflows/linkedin_automation/linkedin_engagement.md(in this repo). This file is a thin pointer for Claude Code skill discovery — load the canonical workflow doc for the full agent loop, setup, privacy notes, and risk warning.
Read workflows/linkedin_automation/linkedin_engagement.md and follow it.
Sponsors
Details
- Repository
- github.com/zhixiangluo/10xproductivity
- Categories
- AI & Agent Building, Automation & Workflows
- License
- MIT
- First seen
- Jun 11, 2026