Agent skill · marketing growth · borghei
social-media-analyzer
Social media campaign analysis and performance tracking that calculates engagement rates, ROI, and cross-platform benchmarks. Use for analyzing social performance, calculating engagement rate, or measuring campaign ROI.
Why this skill is useful
Provides specific engagement metrics and ROI calculation methods tailored for social media platforms that the AI wouldn't reliably generate on its own.
What it needs
About 11k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Social Media Analyzer Campaign performance analysis with engagement metrics, ROI calculations, and platform benchmarks. --- Table of Contents Analysis Workflow Engagement Metrics ROI Calculation Platform Benchmarks Tools Examples --- Clarify First Before analyzing, confirm these inputs. If any is unknown or vague, ASK — do not assume: [ ] Platform — Instagram, Facebook, Twitter/X, LinkedIn, or TikTok — selects the correct benchmark set for comparison [ ] Post/campaign data — likes, comments, shares, saves, reach per post — required; reach must be unique users, not impressions [ ] Ad spend — total spend for the period — determines whether ROI/CPE/ROAS is calculated [ ] Analysis goal — full audit, top-performer patterns, ROI, or competitor comparison — focuses the output artifact Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact. Analysis Workflow Analyze social media campaign performance: 1. Validate input data completeness (reach > 0, dates valid) 2. Calculate engagement metrics per post 3. Aggregate campaign-level metrics 4. Calculate ROI if ad spend provided 5. Compare against platform benchmarks 6. Identify top and bottom performers 7. Generate recommendations 8. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/social-media-analyzer