LinkedIn Engager Analytics

LinkedIn Engager Analytics is an Automation skill for Claude Code, published by sergebulaev in linkedin-skills.

589 stars91 forkson sergebulaev/linkedin-skillsAdded 2026/08/25+4% in starsRepository updated 2026/08/22

agent-skillagent-skillsai-agentsai-contentai-marketinganthropicawesome-claudeclaude-codeclaude-skillscontent-creationcontent-engineeringlinkedinlinkedin-automationlinkedin-engineeringllm-toolsopenclaw-skillpersonal-brandingprompt-engineeringskill-mdsocial-media-automation

Install in seconds

Install LinkedIn Engager Analytics

Copy LinkedIn Engager Analytics into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/sergebulaev/linkedin-skills/tree/main/skills/linkedin-engager-analytics ~/.claude/skills/linkedin-engager-analytics

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/sergebulaev/linkedin-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/linkedin-engager-analytics/SKILL.md in sergebulaev/linkedin-skills
Installs to: ~/.claude/skills/linkedin-engager-analytics
Collection: One of 12 skills cataloged from this repository
Category: Automation — 1523 skills

What LinkedIn Engager Analytics does

LinkedIn Engager Analytics pulls likers and commenters from a LinkedIn post and groups them by ICP fit. Use it to build engager rosters, tier breakdowns, and outreach action lists after publishing or reviewing audience overlap.

LinkedIn Engager Analytics is cataloged under Automation on DirSkills. LinkedIn Engager Analytics comes from a repository tagged agent-skill, agent-skills, ai-agents, ai-content and ai-marketing.

Documentation

README

Excerpt

LinkedIn Engager Analytics

Pull every liker and commenter on a LinkedIn post and bucket them by ICP fit. Outputs a roster + action list you can feed into your DM or outreach queue.

Depends on APIFY_TOKEN. Without it, falls back to user-paste of the engager list.

When to use

After publishing a post: "Who actually engaged? Are they ICP?"
Before a campaign: "Pull the last 5 viral posts in my niche, group their commenters by company size"
Reviewing competitor engagement: which prospects show up across multiple authors

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LinkedIn Engager Analytics

What else does sergebulaev publish alongside LinkedIn Engager Analytics?
LinkedIn Engager Analytics is one of 12 skills that DirSkills catalogs from sergebulaev/linkedin-skills, the repository it ships in. Its siblings there include LinkedIn Comment Drafter, LinkedIn Content Planner and LinkedIn Employee Advocacy. Each one is a separate skill with its own page in this directory, installs the same way LinkedIn Engager Analytics does, and is maintained by sergebulaev in that same repository. The rest of the collection is listed on the sergebulaev/linkedin-skills page.
How does LinkedIn Engager Analytics compare to other Automation skills?
LinkedIn Engager Analytics ranks #1236 by stars among the 1523 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LinkedIn Engager Analytics against them. Open each page to compare what they document and how they install.