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data-visualizer

data-visualizer

github.com/guia-matthieuData & databases150224 installsUpdated 4w ago
Repository

About data-visualizer

data-visualizer is a skill for analyzing CSV data and creating charts and dashboards, with a focus on marketing reports. Its commands support chart generation, metric-based dashboards, and image export.

Key features

  1. 01Generate charts from CSV files
  2. 02Create dashboards from selected metrics
  3. 03Export charts as PNG images
  4. 04Identify data patterns and calculate statistics

Use cases

  1. 01Visualizing monthly revenue
  2. 02Preparing a marketing report
  3. 03Building a dashboard for revenue, users, and churn

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/guia-matthieu/clawfu-skills --skill data-visualizer

After installing, type/data-visualizerin Claude Code to confirm it loaded.

Bundled filesscripts/main.pyscripts/requirements.txt

Details

From the project README

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

  • Mode: centaur
category: automation
dependencies: [plotly, pandas]
difficulty: beginner

Comments

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