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LinkedIn Engager Analytics

LinkedIn Engager Analytics is an agent skill (a SKILL.md file) from sergebulaev/linkedin-skills. Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). It works with Claude Code, Codex and Cursor and has 4,258 GitHub stars across a repository of 4 listed skills.

github.com/sergebulaev/linkedin-skills/skills/linkedin-engager-analytics (opens in a new tab)

  • Multi-skill repo
  • Plugin marketplace
  • Needs API key
  • Data & analysis
  • Actively maintained

Add this skill

Claude

This repository is a Claude Code plugin marketplace. In Claude Code:

/plugin marketplace add sergebulaev/linkedin-skills
/plugin install linkedin-skills@linkedin-skills

In the Claude apps, zip the linkedin-engager-analytics folder and upload it under Customize > Skills > + > Upload a skill (code execution must be on).

ChatGPT / Codex

Codex reads skills from .agents/skills/ in a repo or ~/.agents/skills/ for every project:

git clone --depth 1 https://github.com/sergebulaev/linkedin-skills.git
cp -r linkedin-skills/skills/linkedin-engager-analytics .agents/skills/linkedin-engager-analytics   # repo; ~/.agents/skills for all projects

Standalone skills also load in the ChatGPT desktop app.

Cursor

Cursor loads skills from .cursor/skills/ (or ~/.cursor/skills/) and also reads .claude/skills/:

git clone --depth 1 https://github.com/sergebulaev/linkedin-skills.git
cp -r linkedin-skills/skills/linkedin-engager-analytics .cursor/skills/linkedin-engager-analytics   # project; ~/.cursor/skills for all projects

Source (checked Oct 7, 2026): code.claude.com/docs/en/skills (opens in a new tab), code.claude.com/docs/en/plugin-marketplaces (opens in a new tab), support.claude.com/en/articles/12512180-using-skills-in-claude (opens in a new tab), learn.chatgpt.com/docs/build-skills (opens in a new tab), cursor.com/docs/context/skills (opens in a new tab)

What this skill does

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).

When it triggers

  • Triggers on "who liked my post", "who engaged", "engagers report", "audience analytics".
  • "who liked my post"
  • "who engaged"
  • "engagers report"
  • "audience analytics"

More skills in sergebulaev/linkedin-skills

4 skills are listed from this repository.

FAQ

LinkedIn Engager Analytics FAQ

Still curious? Email info@appsgit.com.

What is the LinkedIn Engager Analytics skill?

LinkedIn Engager Analytics is an agent skill (a SKILL.md file) from sergebulaev/linkedin-skills. Pull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). It works with Claude Code, Codex and Cursor and has 4,258 GitHub stars across a repository of 4 listed skills. Its SKILL.md lives at github.com/sergebulaev/linkedin-skills/skills/linkedin-engager-analytics.

How do I install the LinkedIn Engager Analytics skill?

In Claude Code, run /plugin marketplace add sergebulaev/linkedin-skills and then /plugin install linkedin-skills@linkedin-skills. For Codex or Cursor, copy the linkedin-engager-analytics folder into .agents/skills/ or .cursor/skills/.

Is the LinkedIn Engager Analytics skill free?

Yes. The repository is open source under the MIT license. The skill mentions an API key or token for an external service, which may need its own account.

Is LinkedIn Engager Analytics maintained?

The repository's most recent commit was on Oct 7, 2026. Its latest release is v1.1.19. appsgit only lists skills from repositories with a commit in the last six months.