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-code

Installs 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 DoesYou Decide
Structures analysis frameworksMetric definitions
Identifies patterns in dataBusiness interpretation
Creates visualization templatesDashboard design
Suggests optimization areasAction priorities
Calculates statistical measuresDecision 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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