/linkedin-engagement

Automated LinkedIn engagement workflow. The agent finds a relevant post on your chosen topic, drafts a comment with a genuine insight, gets your approval in chat, and posts it — all in one loop. You approve once before anything is posted. Use when asked to "engage on LinkedIn",

BOOST

zhixiangluo@zhixiangluo

GitHub

From plugin

10xproductivity

4765 skills2 commands

Install

$ npx -y skills add ZhixiangLuo/10xProductivity --skill linkedin-engagement --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/linkedin-engagement

Context preview

The summary Claude sees to decide when to auto-load this skill.

Automated LinkedIn engagement workflow. The agent finds a relevant post on your chosen topic, drafts a comment with a genuine insight, gets your approval in chat, and posts it — all in one loop. You approve once before anything is posted. Use when asked to "engage on LinkedIn",

SKILL.md

linkedin-engagement.SKILL.md

name: linkedin-engagement
description: Automated LinkedIn engagement workflow. The agent finds a relevant post on your chosen topic, drafts a comment with a genuine insight, gets your approval in chat, and posts it — all in one loop. You approve once before anything is posted. Use when asked to "engage on LinkedIn", "find a post to comment on", "post a LinkedIn comment", or "engage on [topic]". Requires LinkedIn session credentials in .env. Everything runs locally — credentials never leave your machine.

> **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.

Read it on GitHub ↗

Ships with10xproductivity

A local-first stack for building a personal AI assistant for work inside real corporate constraints. Use the coding agents, browser sessions, desktop apps, notifications, and tool access you already have.

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