automating-numbers
Automates Apple Numbers via JXA with AppleScript dictionary discovery. Use when asked to "automate Numbers spreadsheets", "create spreadsheets programmatically", "JXA Numbers scripting", or "bulk data operations in Numbers". Focuses on sheets, tables, ranges, batch I/O, clipboard shim, and high-performance data workflows.
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Installation for Agentic Skill
View all platforms →skilz install SpillwaveSolutions/automating-mac-apps-plugin/automating-numbers skilz install SpillwaveSolutions/automating-mac-apps-plugin/automating-numbers --agent opencode skilz install SpillwaveSolutions/automating-mac-apps-plugin/automating-numbers --agent codex skilz install SpillwaveSolutions/automating-mac-apps-plugin/automating-numbers --agent gemini
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/SpillwaveSolutions/automating-mac-apps-plugin cp -r automating-mac-apps-plugin/plugins/automating-mac-apps-plugin/skills/automating-numbers ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Owner
- SpillwaveSolutions (GitHub)
- Repository
- automating-mac-apps-plugin
- Type
- Other
- Meta-Domain
- N/A
- Primary Domain
- N/A
- Market Score
- 95.0
Agent Skill Grade
A
Score: 95/100
Click to see breakdown
Score Breakdown
Areas to Improve
- Shows same operation (table read, batch write) in 3 languages (JXA, PyXA, PyObjC), consuming excessive tokens
- Short reference files lack table of contents, reducing scanability
- Uses '/Users/you/' in file paths, breaking imperative voice
Recommendations
- Add trigger phrases to description for discoverability
- Add table of contents for files over 100 lines
Graded: 1/18/2026
Developer Feedback
I took a look at your automating-numbers skill and wanted to share some thoughts.
Links:
The TL;DR
You're at 95/100, solidly in A territory. This is based on Anthropic's best practices for Claude Skills. Your strongest area is Spec Compliance (14/15)—the frontmatter and structure are clean. The weakest is Writing Style (8/10), but honestly, it's a minor issue. Your Progressive Disclosure Architecture (25/30) is where you're leaving a bit on the table.
What's Working Well
- Excellent modular structure — Your 8 reference files are well-organized and let users dig deep without bloating the main SKILL.md. The "What to load" section makes navigation clear.
- Strong trigger coverage — You've got "automate Numbers", "JXA Numbers scripting", "bulk data operations" — these hit the real use cases people search for.
- Solid validation checklist — The 5-step workflow with checkboxes and your pre-commit checklist give developers a real run-check-fix pattern to follow.
- Real-world examples — Input/output pairs for table reads and batch writes feel authentic, not contrived.
The Big One
You're showing the same operation in three languages (JXA, PyXA, PyObjC) in your SKILL.md examples. This burns tokens and dilutes the focus. Since you already recommend PyXA as the modern approach, keep just that one in the main file. Move the JXA and PyObjC variants to a references/numbers-alternatives.md file—users who need those will find them, but you're not forcing everyone to scroll past three ways to do the same thing. This alone should bump you +2 points on token economy.
Other Things Worth Fixing
Missing TOCs in short refs —
numbers-basics.md,numbers-recipes.md, andnumbers-advanced.mdjump straight into content. Add a quick bulleted contents section at the top so people can scan before diving in. (+1 point on navigation)Placeholder paths —
references/numbers-advanced.mduses/Users/you/Documents/report.numbers. Replace with generic like~/Documents/report.numbersto keep the imperative voice clean. (+1 point on style)PyXA install gap — You reference installation in the automating-mac-apps skill but don't give standalone instructions. Add a quick
pip install PyXAline with a note that full setup is in the parent skill. Helps when people use this independently. (+1 point on utility)
Quick Wins
- Consolidate JXA/PyXA/PyObjC examples → move alternatives to new ref file (biggest impact)
- Add TOCs to short reference files (easy, helps discoverability)
- Fix placeholder paths to generic format
- Add quick PyXA install instruction
You've built something solid here. These tweaks should get you to 98–99/100 easily.
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