/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",
$ npx -y skills add ZhixiangLuo/10xProductivity --skill linkedin-engagement --agent claude-codeHow 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.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- 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.mdname: 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.
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.
Repo: ZhixiangLuo/10xProductivity
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