social-performance-analyzer

Name: social-performance-analyzer
Availability: InStock
Author: EvolutionAPI

Analyze social post metrics and produce prioritized performance insights.

520|175|Updated Apr 8, 2026

Search Tags:#analytics #benchmarking #social-media #content-analysis #engagement-rate #social-performance #impressions

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Convert raw social post metrics into clear, prioritized insights so creators and social managers understand what content truly resonates and why performance changes over time.

Core Features & Use Cases

Automated data intake: Pull analytics via BlackTwist when available or accept CSVs/screenshots/manual tables to build a reliable dataset.
Metric-driven diagnosis: Calculate engagement rate, surface top and bottom performers, detect trends in impressions and consistency, and benchmark everything against the user's own baseline.
Actionable recommendations: End each analysis with 3–5 prioritized, concrete actions tied to specific findings (timing, hook, format, CTA).
Use case: Analyze the last 14–30 days of posts to identify the top 3 highest-engagement posts, diagnose why they worked, and list prioritized next steps the user can implement this week.

Quick Start

Provide a CSV of your last 14–30 posts including impressions, likes, and comments and ask for a performance analysis.

Frequently Asked Questions about social-performance-analyzer

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

FAQPage Schema

How do I analyze social media post performance and identify engagement trends?▼

Analyzing social media post performance requires calculating engagement rates and benchmarking impressions against your baseline to identify top and bottom performers. This Skill processes recent post datasets to surface engagement trends and conversion signals for a single account.

Can I use a CSV file to benchmark social media engagement metrics?▼

Yes, you can benchmark social media engagement metrics by providing a CSV of your last 14–30 posts. The analysis requires at least five posts with impressions, likes, and comments to compute your baseline and rank content performance accurately.

What is the best way to turn social media analytics into actionable content recommendations?▼

Turning social media analytics into actionable recommendations involves diagnosing metric-driven trends and generating 3–5 prioritized actions. The Skill ties specific findings on timing, hooks, formats, and CTAs to concrete next steps you can implement immediately.

Does social media content analysis work with BlackTwist analytics integrations?▼

Yes, social media content analysis works with an active BlackTwist analytics integration to automatically pull post data. If unavailable, you can manually upload CSVs, screenshots, or tables to build a reliable dataset for engagement rate calculation.

What social media metrics do I need to diagnose why a post performed well?▼

To diagnose why a post performed well, you need social media metrics including impressions, likes, and comments for at least five posts. These inputs calculate engagement rate, reach, and conversion metrics compared to your historical baseline.