Find your landing page message
Connect a product’s value to a specific audience and write a clear first-screen message.
5,494,705 AI resources indexedWorking toward the world’s largest AI resource index.
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 co...
--- name: linkedin-engagement-16ca7b229da8 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 Cursor 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.--- name: linkedin-engagement-16ca7b229da8 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 Cursor 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.
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.