Chartmaker
/install chartmaker
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 \x3Cinput> |
Log a new ingest entry (no args = show recent entries) |
chartmaker transform \x3Cinput> |
Log a transform entry |
chartmaker query \x3Cinput> |
Log a query entry |
chartmaker filter \x3Cinput> |
Log a filter entry |
chartmaker aggregate \x3Cinput> |
Log an aggregate entry |
chartmaker visualize \x3Cinput> |
Log a visualize entry |
chartmaker export \x3Cinput> |
Log an export entry (see also export with format below) |
chartmaker sample \x3Cinput> |
Log a sample entry |
chartmaker schema \x3Cinput> |
Log a schema entry |
chartmaker validate \x3Cinput> |
Log a validate entry |
chartmaker pipeline \x3Cinput> |
Log a pipeline entry |
chartmaker profile \x3Cinput> |
Log a profile entry |
chartmaker stats |
Show summary statistics across all log files |
chartmaker export \x3Cfmt> |
Export all data to json, csv, or txt format |
chartmaker search \x3Cterm> |
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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- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install chartmaker - 安装完成后,直接呼叫该 Skill 的名称或使用
/chartmaker触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Chartmaker 是什么?
Visualize data with bar charts, sparklines, and progress bars in terminal. Use when plotting metrics, rendering inline charts, or transforming data. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 230 次。
如何安装 Chartmaker?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install chartmaker」即可一键安装,无需额外配置。
Chartmaker 是免费的吗?
是的,Chartmaker 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Chartmaker 支持哪些平台?
Chartmaker 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Chartmaker?
由 bytesagain1(@bytesagain1)开发并维护,当前版本 v2.0.0。