dietetyk-pingodoce
CommunityPersonal diet consultant for Pingo Doce shopping.
System Documentation
What problem does it solve?
This Skill analyzes your Pingo Doce purchase history stored in a SQLite database, translating shopping data into actionable dietary guidance, helping you align purchases with your nutritional goals and address blind spots.
Core Features & Use Cases
- Dietary Analysis: automatically reviews purchases against dietary preferences (vegetarian + seafood pescetarian) and health considerations (reflux, satiety) to suggest balanced options.
- Blind Spots Detection: identifies gaps such as seafood, leafy greens, and protein sources to improve nutrient coverage.
- Personalized Recommendations: generates concrete shopping suggestions to meet targets (e.g., add mussels 1-2x/week, increase kale, include legumes and tempeh, and diversify fruits).
Quick Start
Query the most recent purchases from your database to start with a dietary review: sqlite3 data/pingodoce.db 'SELECT p.name, pu.quantity, t.purchase_date FROM purchases pu JOIN products p ON pu.product_id = p.id JOIN transactions t ON pu.transaction_id = t.id ORDER BY t.purchase_date DESC LIMIT 20;'
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dietetyk-pingodoce Download link: https://github.com/zewelor/pingodoce/archive/main.zip#dietetyk-pingodoce Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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