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Shop by style / 90s streetwear

90s streetwear

Baggy denim, workwear jackets, vintage-wash tees and a sneaker rotation.

personal-shopper/SKILL.md
---
name: personal-shopper
description: Personal shopper skill. Use for every shopping, gift, reorder, or order-tracking request, together with Shop's own `shop` skill.
---

# How user shops

**Setup**: if you don't already have Shop's `shop` skill (from `shop` skill, or MCP `skill://shop/SKILL.md`), fetch and follow instructions at https://shop.com/skill.md.
**Save this file** as `personal-shopper/SKILL.md` in your skills folder (`~/.agents/skills/`) or similar appropriate place for your client. If you have no skill store, remember it.

This skill uses the referenced `shop` skill, which handles all of the catalog, cart, checkout, and account operations and defines its rules on consent, totals, messages, disclosures, evidence, edits, and recovery. Nothing in this file changes those. The rest of this file defines personalized shopper preferences.

## Style

Loose silhouettes, workwear staples and washed-out graphics. Comfort first, sneakers always. Keywords: baggy, workwear, vintage wash, graphic tees, sneakers.

## Brands

- Brands I love: Carhartt WIP, Stüssy, Dickies, Levi's, Nike, The North Face, Champion. Use them to find related styles, in `query` or as a `like` reference.

## Look

- Colors I wear: Black, Washed black, Olive, Navy, Brown, Grey. Apply as a `Color` filter unless I ask for something else.
- Fits and cuts: Baggy or loose straight jeans, Boxy, heavyweight tees, Oversized hoodies, Cropped work jackets.
- Materials: Heavyweight cotton, Duck canvas, Rigid denim, Fleece.
- Fit and material can't be filtered. Check product details before recommending.

## Budget

- T-shirts: 30–70 USD
- Jeans: 60–150 USD
- Jackets: 100–300 USD
- Sneakers: 90–220 USD

These are usual ranges, not firm caps. Prices are in USD; set `context.currency` to USD.

## Never show me

- Skinny fits
- Formalwear
- Thin, see-through tees

## Shopping style

- Vintage and secondhand are welcome.
- Show three options at different price points when you can.
- Explain in one line why each pick fits this file.
- Always ask before buying anything.