Overview
What It Does
Linkedin Engager Analytics packages a focused devops & cloud workflow for an AI agent. Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on "who liked my post", "who engaged", "engagers report", "audience analytics". Not for tracking author replies to your comments (use linkedin-thread-monitor). It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.
Task ideas
Popular Use Cases
- Inspect deployment or infrastructure state
- Automate a repeatable operations task
- Troubleshoot configuration and runtime issues
- Apply documented production practices
Installation
Install this Agent Skill
Claude Code
npx skills add https://github.com/sergebulaev/linkedin-skills --skill linkedin-engager-analyticsCommands derived from the public GitHub SKILL.md record. Checked 2026-09-02. Review the source before running them.
Before you start
Requirements
| Codex | Required / review |
| Public SKILL.md source | Required / review |
| Review instructions and requested permissions before installation | Required / review |
| Paid service | Check source |
| Supported system | Check source |
Popularity context
Why It’s Popular
Linkedin Engager Analytics is a verified Agent Skill from sergebulaev with a public SKILL.md, compatible with Codex.
Alternatives
