apple-notes-performance-tuning

Optimize Apple Notes automation performance for large note collections. Trigger: "apple notes performance".

25 stars

Best use case

apple-notes-performance-tuning is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Optimize Apple Notes automation performance for large note collections. Trigger: "apple notes performance".

Teams using apple-notes-performance-tuning should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/apple-notes-performance-tuning/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/jeremylongshore/claude-code-plugins-plus-skills/apple-notes-performance-tuning/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/apple-notes-performance-tuning/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How apple-notes-performance-tuning Compares

Feature / Agentapple-notes-performance-tuningStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Optimize Apple Notes automation performance for large note collections. Trigger: "apple notes performance".

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Apple Notes Performance Tuning

## Performance Benchmarks
| Operation | 100 notes | 1000 notes | 10000 notes |
|-----------|----------|------------|-------------|
| List all | ~0.5s | ~3s | ~30s |
| Search by name | ~0.3s | ~2s | ~20s |
| Full-text search | ~1s | ~8s | ~80s |
| Create note | ~0.2s | ~0.2s | ~0.2s |
| Export all to JSON | ~1s | ~10s | ~100s |

## Optimization Strategies

### 1. Limit Results
```javascript
// BAD: Load all notes then slice
const all = Notes.defaultAccount.notes(); // Loads everything
const first10 = all.slice(0, 10);

// BETTER: Specify range (JXA supports this for some operations)
// Unfortunately JXA does not support server-side filtering
// Best approach: cache results locally
```

### 2. Local SQLite Cache
```bash
# Export to SQLite once, then query locally
osascript -l JavaScript scripts/export-to-sqlite.js
sqlite3 notes-cache.db "SELECT title FROM notes WHERE body LIKE '%project%'"
```

### 3. Incremental Sync
```typescript
// Only process notes modified since last sync
const lastSync = new Date(fs.readFileSync(".last-sync", "utf8"));
const modified = allNotes.filter(n => n.modificationDate() > lastSync);
```

## Resources

- [Mac Automation Scripting Guide](https://developer.apple.com/library/archive/documentation/LanguagesUtilities/Conceptual/MacAutomationScriptingGuide/)
- [JXA Examples](https://jxa-examples.akjems.com/)

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