
Data Visualizer
Turns CSV data into charts and dashboards using Plotly and Pandas. You feed it marketing data, specify what you want to visualize (bar charts, multi-metric dashboards), and it generates HTML or PNG outputs for reports and presentations. The commands are straightforward: point it at your data file, pick your chart type and axes, done. Built by ClawFu as a beginner-friendly automation tool. It won't interpret your business metrics or make decisions for you, but it handles the repetitive work of structuring analysis and spotting patterns in campaign performance data. Good for when you need clean visualizations quickly without writing plotting code from scratch every time.
- skills.sh installs
- 228
- GitHub stars
- 150
- last updated
- Aug 21, 2026
Install
$ npx -y skills add guia-matthieu/clawfu-skills --skill data-visualizer --agent claude-codeInstalls into .claude/skills of the current project.
Files
Data Visualizer
Generate professional charts and visualizations from CSV data for marketing 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 plotly pandas click
Commands
python scripts/main.py chart data.csv --type bar --x month --y revenue
python scripts/main.py dashboard data.csv --metrics "revenue,users,churn"
python scripts/main.py export chart.html --format png
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
Skill Metadata
Sponsors
Details
- Repository
- github.com/guia-matthieu/clawfu-skills
- Categories
- Debugging, Marketing & SEO
- First seen
- Jun 3, 2026
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