Social Media Analyzer

What it does

When your agent uses it

• Analyzing social media performance
• Calculating engagement rate
• Measuring campaign ROI
• Comparing platform metrics

Example prompts

• “social media audit,”
• “engagement rate,”
• “which platform performs best.”
• “/social-media-analyzer”

Requirements

• Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

1. 1Validate input data completeness (reach > 0, dates valid)
2. 2Calculate engagement metrics per post
3. 3Aggregate campaign-level metrics
4. 4Calculate ROI if ad spend provided
5. 5Compare against platform benchmarks
6. 6Identify top and bottom performers
7. 7Generate recommendations
8. 8Validation: Engagement rate < 100%, ROI matches spend data

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Ships 2 files in scripts/ (Python), which the agent can run.

  Shell commands in SKILL.md call:

  • python

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Social Media Analyzer loads about 2.1k tokens when it runs, and up to ~3.7k if it reads all its reference files. Until then it costs about 106 tokens; SKILL.md has 720 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~106

When it runs · the whole SKILL.md, loaded when a task matches

~2.1k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~3.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 720 words, ~2,146 tokens.

name

social-media-analyzer

description

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."

triggers

analyze social media, calculate engagement rate, social media ROI, campaign performance, compare platforms, benchmark engagement, Instagram analytics…

Engagement Rate = (Likes + Comments + Shares + Saves) / Reach × 100

python scripts/calculate_metrics.py assets/sample_input.json

python scripts/analyze_performance.py assets/sample_input.json

{
  "platform": "instagram",
  "total_spend": 500,
  "posts": [
    {
      "post_id": "post_001",
      "content_type": "image",
      "likes": 342,
      "comments": 28,
      "shares": 15,
      "saves": 45,
      "reach": 5200,
      "impressions": 8500,
      "clicks": 120
    }
  ]
}

{
  "campaign_metrics": {
    "total_engagements": 1521,
    "avg_engagement_rate": 8.36,
    "ctr": 1.55
  },
  "roi_metrics": {
    "total_spend": 500.0,
    "cost_per_engagement": 0.33,
    "roi_percentage": 660.5
  },
  "insights": {
    "overall_health": "excellent",
    "benchmark_comparison": {
      "engagement_status": "excellent",
      "engagement_benchmark": "1.22%",
      "engagement_actual": "8.36%"
    }
  }
}

© alirezarezvani, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references, assets) in marketing-skill/skills/social-media-analyzer of alirezarezvani/claude-skills.

• SKILL.md
• HOW_TO_USE.md
• assets/expected_output.json
• assets/sample_input.json
• references/platform-benchmarks.md
• scripts/analyze_performance.py
• scripts/calculate_metrics.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

• LeoYeAI/openclaw-master-skillsskills/social-media-analyzer