linkedin-intelligence

Analyze LinkedIn metrics and engagement to deliver actionable insights.

Updated Mar 4, 2026
One-click install
npx skills add https://github.com/shyftai/crispymcp --skill linkedin-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: linkedin-intelligence
Source: https://github.com/shyftai/crispymcp/tree/main/skills/linkedin-intelligence
Command: npx skills add https://github.com/shyftai/crispymcp --skill linkedin-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Track and interpret LinkedIn data to produce actionable insights about posts, profiles, and audience behavior.

Core Features & Use Cases

  • Post analytics: Monitor performance of individual posts and identify topics that drive engagement.
  • Profile analytics: Track profile views, search appearances, and audience growth.
  • Competitive intelligence: Compare your metrics with competitors to uncover opportunities.
  • Dashboard-ready reporting: Build dashboards and reports from live data for quick decision making.

Quick Start

Ask Crispy to generate a LinkedIn performance report using live analytics.

Frequently Asked Questions about linkedin-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track LinkedIn post performance and audience engagement?

LinkedIn post analytics track individual post performance and audience engagement to identify topics driving interaction. You can monitor profile views, search appearances, and network growth to interpret audience behavior.

Can I compare my LinkedIn metrics with competitors to find opportunities?

Competitive intelligence compares your LinkedIn metrics with competitors to uncover opportunities. This analysis highlights differences in audience engagement and profile growth, helping you identify actionable gaps in your strategy.

Do I need the Crispy MCP server to analyze LinkedIn profile views?

Yes, analyzing LinkedIn profile views requires access to the Crispy MCP server. It provides the necessary tools like get_profile_viewers and get_profile_analytics to extract live data and generate actionable insights.

What's the best way to build dashboard-ready reports from LinkedIn data?

Dashboard-ready reporting builds reports from live LinkedIn data for quick decision making. It uses analytics tools to process post performance and audience metrics into structured visual formats.

How does network growth analysis work for LinkedIn profiles?

Network growth analysis tracks profile views, search appearances, and audience expansion over time. It interprets LinkedIn engagement data to deliver actionable insights about how your professional network is developing.