Agent skill · Security

social-media-analyzer

Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use when analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards. Also use when the user mentions "social media audit," "engagement rate," or "which platform performs best.

Alireza Rezvani23,369★ · +428/wk · 1 repos on radarProfile →
claude-codecodexcursorships scriptsMIT
Install
npx skills add alirezarezvani/claude-skills --skill social-media-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 7
SKILL.md size: 8 KB
Bundled scripts: yes
Path: marketing-skill/skills/social-media-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 23,791 · +422 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Social Media Analyzer Campaign performance analysis with engagement metrics, ROI calculations, and platform benchmarks. --- ## Table of Contents - [Analysis Workflow](#analysis-workflow) - [Engagement Metrics](#engagement-metrics) - [ROI Calculation](#roi-calculation) - [Platform Benchmarks](#platform-benchmarks) - [Tools](#tools) - [Examples](#examples) --- ## 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. **Validation:** Engagement rate < 100%, ROI matches spend data ### Input Requirements | Field | Required | Description | |-------|----------|-------------| | platform | Yes | instagram, facebook, twitter, linkedin, tiktok | | posts[] | Yes | Array of post data | | posts[].likes | Yes | Like/reaction count | | posts[].comments | Yes | Comment count | | posts[].reach | Yes | Unique users reached | | posts[].impressions | No | Total views | | posts[].shares | No | Share/retweet count | |

What's inside
Steps it walks through
  1. Table of Contents
  2. Analysis Workflow
  3. Input Requirements
  4. Data Validation Checks
  5. Engagement Metrics
  6. Engagement Rate Calculation
  7. Metric Definitions
  8. Performance Categories
  9. ROI Calculation
  10. ROI Formulas
  11. Engagement Value Estimates
  12. ROI Interpretation
  13. Platform Benchmarks
  14. Engagement Rate by Platform
Ships with 6 files
  • HOW_TO_USE.md
  • assets/expected_output.json
  • assets/sample_input.json
  • references/platform-benchmarks.md
  • scripts/analyze_performance.py
  • scripts/calculate_metrics.py
Commands it runs
python scripts/calculate_metrics.py assets/sample_input.json
python scripts/analyze_performance.py assets/sample_input.json
More from claude-skills
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About this skill
What does the social-media-analyzer skill do?

Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use when analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards. Also use when the user mentions "social media audit," "engagement rate," or "which platform performs best.

How do I install it?

Run `npx skills add alirezarezvani/claude-skills --skill social-media-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From alirezarezvani/claude-skills, a repository with 23,791 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going