social-content-pattern-analyzer

Name: social-content-pattern-analyzer
Availability: InStock
Author: EvolutionAPI

Analyze social media post histories to identify engagement patterns by topic, format, and time.

520|175|Updated Apr 8, 2026

Search Tags:#analytics #engagement #social-media #content-strategy #content-patterns #performance-analysis #hook-testing

Ready to run

npx skills add https://github.com/EvolutionAPI/evo-nexus --skill social-content-pattern-analyzer

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: social-content-pattern-analyzer
Source: https://github.com/EvolutionAPI/evo-nexus/tree/main/.claude/skills/social-content-pattern-analyzer
Command: npx skills add https://github.com/EvolutionAPI/evo-nexus --skill social-content-pattern-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps creators and social managers move beyond single-post metrics to identify consistent content patterns that drive engagement, enabling focused "Do More / Do Less" decisions.

Core Features & Use Cases

Pattern detection across dimensions: Compares performance by topic, format, posting time, length, hook, tone, and platform to surface repeatable signals.
Cross-platform and sample-size aware: Works with multi-channel post histories or CSV exports and enforces minimum-sample warnings to preserve confidence.
Actionable gap identification: Highlights untested combinations and suggests experiments to validate new content directions.
Use case: Analyze 30+ posts from X and LinkedIn to identify which topics and formats produce the highest engagement rate and recommend 2–3 experiments to run next month.

Quick Start

Analyze my last 30 posts and generate a Do More / Do Less content pattern report.

Frequently Asked Questions about social-content-pattern-analyzer

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

FAQPage Schema

How do I identify which social media content patterns drive the most engagement?▼

To identify social media content patterns, you analyze multi-platform post histories and compare performance by topic, format, hook, tone, and posting time. This reveals consistent signals that drive engagement and highlights actionable gaps for new content experiments.

What metrics do I need to analyze social media content performance across platforms?▼

Analyzing social media content performance requires per-post metrics including impressions, likes, comments, reposts, saves, and clicks. You also need timestamps for each post, and an optional social context file to align findings with your specific niche and goals.

How do I generate a Do More / Do Less report from my social media post history?▼

You generate a Do More / Do Less report by feeding 15 to 30 plus posts with their per-post metrics and timestamps into a pattern analyzer. The analysis compares performance across topics, formats, and tones to surface repeatable signals for focused content decisions.

Can I analyze CSV exports from multiple social media platforms to compare engagement rates?▼

Yes, you can analyze CSV exports from multiple social media platforms together. The analysis is cross-platform and sample-size aware, comparing performance across channels while enforcing minimum-sample warnings to preserve confidence in your engagement rate comparisons.

Does social media content pattern analysis work with a small number of posts?▼

Social media content pattern analysis requires a minimum dataset of 15 to 30 plus posts to produce reliable results. The system enforces minimum-sample warnings to preserve confidence, ensuring that pattern detection across topics, formats, and hooks is statistically meaningful.

What is the best way to find untested content formats and hooks for my social media strategy?▼

The best way to find untested content formats and hooks is through gap identification during pattern analysis. By comparing performance across content dimensions, the analysis highlights untested combinations of topics, formats, and tones, and suggests experiments to validate new directions.