Charts Skill

Generate charts and graphs from data using matplotlib.

Commands

Command	Description
charts bar	Bar chart (vertical or horizontal)
charts line	Line chart for trends/time series
charts pie	Pie chart for proportions
charts scatter	Scatter plot for correlations
charts histogram	Histogram for distributions
charts help	Show help

Data Input Methods

1. Inline data

charts bar --labels "A,B,C" --values "10,20,30"

2. From CSV/JSON file

charts line --file data.csv --x date --y revenue

3. From stdin (pipe)

echo "name,value
Product A,100
Product B,150" | charts bar --x name --y value

4. Combined with database skill

database query "SELECT status, COUNT(*) as count FROM orders GROUP BY status" | charts pie --x status --y count --title "Order Status"

Common Options

• --title "Text" - Set chart title
• --output file.png - Specify output path (default: /tmp/chart__.png)
• --open - Open image after generating
• --x column - Column for X axis / labels
• --y column - Column for Y axis / values

Chart-Specific Options

Bar chart

• --horizontal - Horizontal bars instead of vertical

Histogram

• --column name - Column to analyze
• --bins N - Number of bins (default: 10)

Output

By default, charts are saved to /tmp/chart_<type>_<timestamp>.png and the path is printed to stdout.

Use the Read tool to view the generated chart image.

Examples

# Sales by month
charts bar --labels "Jan,Feb,Mar,Apr" --values "12000,15000,13500,18000" --title "Monthly Sales"

# Revenue trend from CSV
charts line --file sales.csv --x month --y revenue --title "Revenue Trend"

# Distribution pie chart
charts pie --labels "Desktop,Mobile,Tablet" --values "55,35,10" --title "Traffic by Device"

# Query results visualization
database query "SELECT date, amount FROM transactions ORDER BY date" | charts line --x date --y amount --title "Transaction History"

# Age distribution histogram
charts histogram --file users.csv --column age --bins 15 --title "User Age Distribution"