chartmaker

name	ChartMaker
description	Visualize data with bar charts, sparklines, and progress bars in terminal. Use when plotting metrics, rendering inline charts, or transforming data.
version	1.0.0
author	BytesAgain
homepage	https://bytesagain.com
source	https://github.com/bytesagain/ai-skills
tags	["chart","graph","visualization","bar","sparkline","data","terminal","ascii"]
categories	["Developer Tools","Utility","Data"]

ChartMaker

A data toolkit for chart-related data logging and export. Record, transform, query, and export data entries — all from the command line, all stored locally.

Commands

Command	What it does
chartmaker ingest <input>	Log a new ingest entry (no args = show recent entries)
chartmaker transform <input>	Log a transform entry
chartmaker query <input>	Log a query entry
chartmaker filter <input>	Log a filter entry
chartmaker aggregate <input>	Log an aggregate entry
chartmaker visualize <input>	Log a visualize entry
chartmaker export <input>	Log an export entry (see also export with format below)
chartmaker sample <input>	Log a sample entry
chartmaker schema <input>	Log a schema entry
chartmaker validate <input>	Log a validate entry
chartmaker pipeline <input>	Log a pipeline entry
chartmaker profile <input>	Log a profile entry
chartmaker stats	Show summary statistics across all log files
chartmaker export <fmt>	Export all data to json, csv, or txt format
chartmaker search <term>	Search all entries for a term (case-insensitive)
chartmaker recent	Show the 20 most recent activity log entries
chartmaker status	Health check — version, entry count, disk usage
chartmaker help	Show usage and available commands
chartmaker version	Print version string

Each logging command (ingest, transform, query, etc.) accepts free-form text. Called without arguments, it shows the 20 most recent entries for that category.

Data Storage

All data is stored locally in ~/.local/share/chartmaker/. Each command category writes to its own .log file, and all actions are recorded in history.log with timestamps.

Requirements

• Bash 4+

When to Use

• Logging chart and visualization data points from the command line
• Tracking data transformations and schema changes over time
• Exporting accumulated entries to JSON, CSV, or plain text for reports
• Searching across all logged entries to find specific visualization data
• Checking health and statistics of your local chart data store

Examples

# Log visualization data
chartmaker ingest "Monthly revenue: Jan=10k Feb=12k Mar=15k"

# Transform and record a data step
chartmaker transform "Normalized Q1 values to percentage scale"

# Search across all logs
chartmaker search "revenue"

# Export everything to CSV
chartmaker export csv

# View recent activity
chartmaker recent

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