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Social Analytics Skill for Claude

Analyze social media profiles and engagement. Use when: auditing competitor social presence; calculating engagement rates; identifying top-performing content; tracking profile growth; benchmarking social metrics

4k tokens
context cost
the whole folder, loaded on every use
3
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
145
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill social-analytics

What comes with it

10 445 bytes besides the instruction
scripts/main.py
scripts/requirements.txt

The instruction itself

25 sections, as written by the author

Social Analytics

> Analyze social media profiles and calculate engagement metrics - understand what content works for competitors and your own accounts.

When to Use This Skill

  • Competitor analysis - Audit competitor social presence
  • Engagement benchmarking - Calculate and compare engagement rates
  • Content analysis - Identify top-performing post types
  • Profile audit - Assess social media health
  • Reporting - Generate social performance reports

What Claude Does vs What You Decide

| Claude Does | You Decide |

|-------------|------------|

| Structures analysis frameworks | Metric definitions |

| Identifies patterns in data | Business interpretation |

| Creates visualization templates | Dashboard design |

| Suggests optimization areas | Action priorities |

| Calculates statistical measures | Decision thresholds |

Dependencies

pip install click pandas requests beautifulsoup4
# For authenticated API access:
pip install tweepy instaloader

Commands

Analyze Profile

python scripts/main.py analyze @competitor --platform twitter
python scripts/main.py analyze @brand --platform instagram

Calculate Engagement

python scripts/main.py engagement @profile --platform twitter --days 30
python scripts/main.py engagement @profile --platform linkedin --posts 50

Find Top Posts

python scripts/main.py top-posts @profile --platform twitter --count 10
python scripts/main.py top-posts @profile --metric likes

Export Data

python scripts/main.py export @profile --platform twitter --format csv
python scripts/main.py export @profile --platform instagram --output report.json

Compare Profiles

python scripts/main.py compare @brand1 @brand2 @brand3 --platform twitter

Examples

Example 1: Competitor Social Audit

# Analyze competitor profile
python scripts/main.py analyze @competitor_brand --platform twitter

# Output:
# Profile Analysis: @competitor_brand
# ─────────────────────────────────────
# Followers:      45,230
# Following:      1,234
# Total Posts:    2,456
# Avg Likes:      234
# Avg Retweets:   45
# Engagement:     2.3%
# Post Frequency: 3.2/day
# Top Hashtags:   #marketing, #growth, #startup

Example 2: Benchmark Engagement Rates

# Compare engagement across competitors
python scripts/main.py compare @brand1 @brand2 @brand3 --platform twitter

# Output:
# Engagement Comparison
# ─────────────────────
# Profile         Followers   Eng.Rate   Posts/Day
# @brand1         45,230      2.3%       3.2
# @brand2         32,100      3.1%       2.1
# @brand3         89,500      1.8%       4.5

# Winner: @brand2 (highest engagement despite fewer followers)

Example 3: Find Winning Content

# Identify top performing posts
python scripts/main.py top-posts @marketing_pro --platform twitter --count 10

# Output:
# Top 10 Posts by Engagement
# ──────────────────────────
# 1. "Here's what nobody tells you about..."
#    Likes: 2,345  RTs: 456  Eng: 6.2%
#    Type: Thread  Time: Tuesday 9am

# 2. "The biggest mistake I see founders make..."
#    Likes: 1,890  RTs: 312  Eng: 4.8%
#    Type: Single  Time: Wednesday 8am

Engagement Rate Benchmarks

Twitter/X

| Account Size | Good | Great | Excellent |

|--------------|------|-------|-----------|

| <10K | 1-3% | 3-6% | >6% |

| 10K-100K | 0.5-1% | 1-3% | >3% |

| 100K+ | 0.2-0.5% | 0.5-1% | >1% |

Instagram

| Account Size | Good | Great | Excellent |

|--------------|------|-------|-----------|

| <10K | 3-6% | 6-10% | >10% |

| 10K-100K | 1-3% | 3-6% | >6% |

| 100K+ | 0.5-1% | 1-3% | >3% |

LinkedIn

| Account Size | Good | Great | Excellent |

|--------------|------|-------|-----------|

| Personal | 2-4% | 4-8% | >8% |

| Company | 0.5-1% | 1-2% | >2% |

Metrics Explained

| Metric | Formula | What It Measures |

|--------|---------|------------------|

| Engagement Rate | (likes + comments + shares) / followers | Overall content resonance |

| Amplification | shares / followers | Content virality |

| Conversation | comments / followers | Community engagement |

| Applause | likes / followers | Content appreciation |

Output Formats

| Format | Best For |

|--------|----------|

| text | Quick terminal review |

| csv | Spreadsheet analysis |

| json | Programmatic use |

| md | Reports and docs |

Skill Boundaries

What This Skill Does Well

  • Structuring data analysis
  • Identifying patterns and trends
  • Creating visualization frameworks
  • Calculating statistical measures

What This Skill Cannot Do

  • Access your actual data
  • Replace statistical expertise
  • Make business decisions
  • Guarantee prediction accuracy
  • content-repurposer - Repurpose top-performing content
  • hashtag-analyzer - Deep dive into hashtag performance

Skill Metadata

  • Mode: centaur
category: social
subcategory: analytics
dependencies: [pandas, requests, beautifulsoup4]
difficulty: intermediate
time_saved: 4+ hours/week

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How to use it

Copy the folder

Take guia-matthieu/social-analytics from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.