social-performance-review

Analyze monthly social media performance data into client-facing markdown reports.

182|38|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/stevenflanagan1/social-ai-team --skill social-performance-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: social-performance-review
Source: https://github.com/stevenflanagan1/social-ai-team/tree/main/skills/social-performance-review
Command: npx skills add https://github.com/stevenflanagan1/social-ai-team --skill social-performance-review

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Small and medium businesses and their social managers struggle to turn monthly social metrics into clear, prioritized actions; this Skill transforms raw exports, screenshots, or manual notes into an interpreted, client-ready review that explains what worked, why, and exactly what to change next month.

Core Features & Use Cases

  • Flexible data ingestion: Accepts CSV exports from Meta and LinkedIn, screenshots, or manual inputs and adapts analysis to the data quality available.
  • Per-post and account-level analysis: Calculates reach, impressions, engagement rate, saves, and format/pillar performance and identifies top and bottom performers with interpretable reasons.
  • Actionable outputs: Produces a client-facing markdown report, updates context/best-performers and review-history files, and provides ranked, specific recommendations to feed directly into the content calendar.
  • Optional competitor and scraping tools: Integrates with Playwright or Firecrawl when configured to add competitor context and capture analytics not available via export.
  • Use case: Turn a month of Instagram CSV exports into a one-page client report with three priority recommendations and updated best-performers for caption optimization.

Quick Start

Analyze last month's Instagram CSV export and produce a client-ready review summarizing top and bottom posts, key insights, and three ranked recommendations.

Frequently Asked Questions about social-performance-review

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

FAQPage Schema
How do I create a monthly social media performance review from CSV exports?

Generate a monthly social media performance review by importing CSV exports from Meta or LinkedIn to compute reach, impressions, and engagement rates, producing a client-facing markdown report with prioritized actions.

Can I analyze Instagram engagement using screenshots instead of CSV files?

Yes, you can analyze Instagram engagement using screenshots because the review process accepts manual inputs and image captures, adapting its performance calculations and per-post scoring to the available data quality.

Does this social media review tool support TikTok and X analytics?

Yes, the social media review tool supports TikTok and X analytics alongside Instagram, Facebook, and LinkedIn, calculating engagement rates and format breakdowns across all these platforms.

What is the best way to turn social media metrics into content calendar recommendations?

Turn social media metrics into content calendar recommendations by parsing monthly exports to identify top and bottom performing posts, then using the computed pillar breakdowns to generate ranked, specific actions.

How do I add competitor context to a social media performance analysis?

Add competitor context to a social media performance analysis by integrating Playwright or Firecrawl scraping tools, which capture external analytics data not available through standard CSV exports.

What metrics are included in a client-facing social media report?

A client-facing social media report includes reach, impressions, saves, likes, comments, engagement rates, and flagged boosted posts, explaining what worked and providing three priority recommendations for next month.