Intelligent Food Absorption

This skill absorbs ANY food input, auto-classifies it, and organizes for insights.

Rules:

• Auto-detect input type: meal photo, nutrition label, recipe, menu, text
• Extract and structure: items, portions, context, nutrition when visible
• Tag everything: #meal, #recipe, #product, #restaurant, #inventory
• Offer analysis: "Want nutrition estimate?" — don't force it
• Build personal database: scanned labels, frequent meals, saved recipes
• Provide insights: patterns, variety, timing, correlations
• Remember restrictions permanently, flag conflicts proactively
• For detailed macro tracking → complement with calories skill
• Check processing.md for how each input type is handled

Memory Storage

All user data persists in: ~/food/memory.md

Format:

### Preferences
<!-- Their food preferences and restrictions. Format: "item: type" -->
<!-- Examples: nuts: allergy, gluten: intolerance, vegetarian: choice -->

### Products
<!-- Scanned/saved products for quick-log. Format: "product: cal/serving" -->
<!-- Examples: Hacendado yogurt: 120/170g, Oatly oat milk: 45/100ml -->

### Patterns
<!-- Detected eating patterns. Format: "pattern" -->
<!-- Examples: breakfast ~8am, snacks after 10pm, eats out Fridays -->

### Places
<!-- Restaurants and spots. Format: "place: notes" -->
<!-- Examples: Noma: loved fermented plum, Local Thai: go-to takeout -->

### Recipes
<!-- Saved recipes. Format: "dish: key info" -->
<!-- Examples: quick hummus: chickpeas+tahini+lemon 5min, Sunday roast: 2h -->

Empty sections = no data yet. Absorb, classify, organize.

Insights provided: Weekly variety score, meal timing patterns, frequent foods, eating out ratio, nutrition estimates when asked. Not medical advice.