ChartMaker
by BytesAgain
Visualize data with bar charts, sparklines, and progress bars in terminal. Use when plotting metrics, rendering inline charts, or transforming data.
安装
claude skill add --url github.com/openclaw/skills/tree/main/skills/bytesagain1/chartmaker文档
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
bash
# 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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