How does it handle large datasets?

It utilizes high-performance batch write patterns and clipboard shims to bypass the overhead of individual cell updates, ensuring Numbers remains responsive.

Is it possible to format cells and tables programmatically?

Absolutely. The skill includes recipes for managing formatting, sorting, and structural changes to tables and sheets.

Does this skill support Python for Numbers automation?

Yes, the skill includes comprehensive examples and patterns for using PyXA and PyObjC Scripting Bridge to control Numbers using Python.

Can I automate features not found in the AppleScript dictionary?

Yes, the skill provides UI scripting patterns to bridge gaps in the standard AppleScript dictionary for more complex interface interactions.

Apple Numbers Automation

Name: Apple Numbers Automation
Author: SpillwaveSolutions

bySpillwaveSolutions

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Productivity & Workflow

Automates Apple Numbers spreadsheets using JXA, AppleScript, and Python to perform high-performance data operations and report generation.

About

The Apple Numbers Automation skill provides a robust framework for programmatically controlling macOS Numbers spreadsheets through Claude Code. It bridges the gap between AppleScript discovery and modern execution environments like JXA and PyXA, enabling developers to automate sheet creation, table manipulation, and complex data workflows. By leveraging advanced patterns such as clipboard shims for batch I/O and defensive error handling, this skill ensures high-performance data processing while maintaining UI responsiveness, making it ideal for developers who need to transform raw data into polished native macOS spreadsheets.

Key Features

Automatic AppleScript dictionary discovery for deep feature access
3 GitHub stars
High-performance batch data operations using clipboard shims
Defensive error handling and UI scripting fallback patterns
Support for JXA, PyXA (Python), and PyObjC Scripting Bridge
Programmatic management of sheets, tables, and cell ranges

Use Cases

Automating repetitive data cleaning and table organization tasks
Bulk importing and formatting data from external APIs into Numbers
Generating automated financial or business reports from raw data sources

About

Key Features

Automatic AppleScript dictionary discovery for deep feature access
3 GitHub stars
High-performance batch data operations using clipboard shims
Defensive error handling and UI scripting fallback patterns
Support for JXA, PyXA (Python), and PyObjC Scripting Bridge
Programmatic management of sheets, tables, and cell ranges

Use Cases

Automating repetitive data cleaning and table organization tasks
Bulk importing and formatting data from external APIs into Numbers
Generating automated financial or business reports from raw data sources