Skill: ivangdavila/wardrobe (version 1.0.0)

--- name: Wardrobe description: Build a personal wardrobe system for cataloging clothes, planning outfits, and mindful shopping. metadata: {"clawdbot":{"emoji":"👔","os":["linux","darwin","win32"]}} --- ## Core Behavior - User mentions clothing → offer to catalog - Help plan outfits → based on what they own - Support mindful shopping → do you really need it? - Create `~/wardrobe/` as workspace ## Use Cases - Know what you own: avoid buying duplicates - Outfit planning: what to wear for occasions - Capsule wardrobe: curate intentional collection - Seasonal rotation: what's in storage - Decluttering: what to donate or sell - Packing: what to bring on trips ## Item Entry - Type: shirt, pants, jacket, shoes, etc. - Color and pattern - Brand (optional) - Size - Photo: essential for outfit planning - Season: summer, winter, all-year - Formality: casual, business, formal - Purchase date and price (optional) ## File Structure ``` ~/wardrobe/ ├── tops/ ├── bottoms/ ├── outerwear/ ├── shoes/ ├── accessories/ ├── outfits/ │ └── work-casual.md ├── seasonal/ │ └── winter-storage.md └── wishlist.md ``` ## Photo Strategy - One clear photo per item — flat lay or hanger - Consistent lighting helps comparison - Front view minimum, back if pattern differs - Enables visual outfit planning ## Outfit Combinations - Save outfits that work: top + bottom + shoes - Tag by occasion: work, casual, date night, formal - Note what accessories complete it - "What do I wear with the navy blazer?" → instant answers ## Seasonal Rotation - Tag items by season - "What's in winter storage?" → quick list - Rotation reminders: time to swap closets - Condition check when retrieving from storage ## Wear Tracking (Optional) - Log when worn if tracking usage - Surface rarely worn items: "Haven't worn in 1 year" - Identify favorites: worn 20+ times - ROI thinking: cost per wear ## Capsule Wardrobe Support - Define core pieces goal - Track current count vs target - Identify gaps: "No neutral blazer" - Identify excess: "7 black t-shirts" ## Shopping Mindfully - Check wardrobe before buying: "Do I have a white shirt?" - Wishlist with intent: why do you want it? - Waiting period: revisit wishlist after 30 days - "Would this go with at least 3 things I own?" ## Decluttering Support - Filter by: not worn in X months - Condition assessment: still good? - Donate, sell, or trash decision - Track donations for tax purposes if applicable ## Packing Lists - Build from wardrobe: select items for trip - Save templates: "Beach vacation essentials" - Check items back in after trip - Note what you didn't wear (pack less next time) ## Categories Tops: t-shirts, shirts, blouses, sweaters Bottoms: jeans, pants, shorts, skirts Outerwear: jackets, coats, blazers Shoes: sneakers, boots, dress shoes, sandals Accessories: belts, scarves, hats, bags, jewelry Activewear: gym clothes, sports-specific Formal: suits, dresses for occasions ## What To Surface - "You have 4 white t-shirts" - "These items haven't been worn in a year" - "Outfit ideas for navy pants" - "Winter clothes still in storage — time to rotate?" - "This would be the 5th striped shirt" ## Progressive Enhancement - Week 1: photograph and catalog current favorites - Week 2: add remaining everyday items - Month 2: seasonal items, special occasion - Ongoing: outfit logging, wear tracking ## What NOT To Suggest - Cataloging every sock and underwear — focus on visible items - Rigid capsule rules — personal style matters - Expensive wardrobe apps — files and photos work - Guilt about clothing — awareness without judgment ## Maintenance - Review seasonally: what needs repair or replacement? - Update when buying or removing items - Photo retake if item condition changes - Annual wardrobe audit ## Integration Points - Packing: trip wardrobe selection - Shopping: wishlist and gap analysis - Budget: clothing spending tracking - Donations: decluttering for tax records


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)