analyze

Analyze LinkedIn post performance against baseline metrics and engagement patterns.

8|Updated Mar 12, 2026

Search Tags:#content strategy #engagement #linkedin #performance metrics #ICP #post analysis

Ready to run

npx skills add https://github.com/sabania/linkedin-cli --skill analyze-sabania

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: analyze
Source: https://github.com/sabania/linkedin-cli/tree/main/plugin/skills/analyze
Command: npx skills add https://github.com/sabania/linkedin-cli --skill analyze-sabania

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the analysis of LinkedIn post performance, helping users understand what content resonates with their audience and refine their Ideal Customer Profile (ICP).

Core Features & Use Cases

Post Performance Analysis: Evaluates individual posts against baseline metrics, identifying engagement drivers.
Pattern Recognition: Detects recurring content themes and formats that lead to higher engagement.
ICP Refinement: Uses engagement data to update and sharpen the understanding of the target audience.
Lifecycle Awareness: Differentiates analysis based on post age (Active, Cooling, Archived) for accurate insights.

Quick Start

Use the analyze skill to evaluate the performance of the LinkedIn post identified by the URN 'urn:li:activity:7435982583777169408'.

Frequently Asked Questions about analyze

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

FAQPage Schema

How do I analyze LinkedIn post performance to identify engagement drivers?▼

LinkedIn post performance analysis evaluates individual posts against baseline metrics to identify engagement drivers. It detects recurring content themes and formats that lead to higher audience interaction.

What is the best way to refine my Ideal Customer Profile using LinkedIn engagement data?▼

Refining your Ideal Customer Profile (ICP) uses audience interaction data from LinkedIn posts. It updates and sharpens your target audience understanding based on actual engagement patterns.

How does post lifecycle stage affect performance metrics analysis?▼

Post lifecycle stage analysis differentiates insights based on post age (Active, Cooling, Archived). This ensures accurate performance metrics reporting by accounting for natural engagement decay over time.

Can I use this to detect content strategy patterns across multiple LinkedIn posts?▼

Yes, you can detect content strategy patterns across multiple LinkedIn posts. Pattern recognition identifies recurring themes and formats that consistently generate higher engagement metrics.

Do I need specific post identifiers to start analyzing LinkedIn content?▼

You need the specific LinkedIn post URN (Uniform Resource Name) to start analyzing content. Providing the post URN allows the system to retrieve and evaluate the exact performance data.