Social Analytics
If you're manually pulling follower counts and calculating engagement rates in spreadsheets, this automates the tedious parts. It structures profile analysis, identifies top-performing content, and benchmarks metrics across competitors on Twitter, Instagram, and LinkedIn. The engagement rate tables are handy references (under 10K followers on Twitter, you want 3-6% to be doing well). It won't access your actual social accounts or make strategic decisions, but it gives you the analytical framework so you can spend time interpreting results instead of wrangling data. Saves about four hours a week if you're doing regular competitive analysis or client reporting.
- skills.sh installs
- 298
- GitHub stars
- 150
- last updated
- Aug 21, 2026
Install
$ npx -y skills add guia-matthieu/clawfu-skills --skill social-analytics --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
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- Repository
- github.com/guia-matthieu/clawfu-skills
- Categories
- Data Science & ML, Marketing & SEO
- First seen
- Jun 3, 2026
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