This handles the math-heavy side of social media analytics: engagement rates, ROI calculations, and platform benchmarking across Instagram, Facebook, Twitter, LinkedIn, and TikTok. Feed it post metrics (likes, comments, shares, reach) and optional ad spend, and it returns campaign-level performance data compared against industry benchmarks. The included Python scripts do the number crunching, while the reference docs provide context on what constitutes good performance per platform. Honestly most useful when you're reporting to stakeholders or trying to justify budget decisions, less so for day-to-day content optimization. The engagement value estimates ($0.50 per like, $2 per comment) are a bit arbitrary but give you a framework for ROI conversations.
npx skills add https://github.com/borghei/claude-skills --skill social-media-analyzer