Agent skill · Data & Analytics

social-media-analyzer

Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions

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

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

Facts
Files in the skill folder: 6
SKILL.md size: 3 KB
Bundled scripts: yes
Path: generated-skills/social-media-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 839
Language: Python

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

From the SKILL.md

# Social Media Campaign Analyzer This skill provides comprehensive analysis of social media campaign performance, helping marketing agencies deliver actionable insights to clients. ## Capabilities - **Multi-Platform Analysis**: Track performance across Facebook, Instagram, Twitter, LinkedIn, TikTok - **Engagement Metrics**: Calculate engagement rate, reach, impressions, click-through rate - **ROI Analysis**: Measure cost per engagement, cost per click, return on ad spend - **Audience Insights**: Analyze demographics, peak engagement times, content performance - **Trend Detection**: Identify high-performing content types and posting patterns - **Competitive Benchmarking**: Compare performance against industry standards ## Input Requirements Campaign data including: - **Platform metrics**: Likes, comments, shares, saves, clicks - **Reach data**: Impressions, unique reach, follower growth - **Cost data**: Ad spend, campaign budget (for ROI calculations) - **Content details**: Post type (image, video, carousel), posting time, hashtags - **Time period**: Date range for analysis Formats accepted: - JSON with structured campaign data - CSV exports from social media platforms - Text descri

What's inside
Steps it walks through
  1. Capabilities
  2. Input Requirements
  3. Output Formats
  4. How to Use
  5. Scripts
  6. Best Practices
  7. Limitations
Ships with 5 files
  • HOW_TO_USE.md
  • analyze_performance.py
  • calculate_metrics.py
  • expected_output.json
  • sample_input.json
More from claude-code-skill-factory
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About this skill
What does the social-media-analyzer skill do?

Analyzes social media campaign performance across platforms with engagement metrics, ROI calculations, and audience insights for data-driven marketing decisions

How do I install it?

Run `npx skills add alirezarezvani/claude-code-skill-factory --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-code-skill-factory, a repository with 839 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