ChatGPT Plugin

Fits

Outfits from your own wardrobe

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Fits is the wardrobe app from fits-app.com, available for iOS and Android. You photograph your clothes once, and Fits keeps them as cut-out pieces you can combine into outfits, plan on a calendar and organise into collections. With Fits connected, ChatGPT can see the pieces you own, with their colours, categories, warmth and formality, and compose outfits from them: a look for tonight, a week of workwear, a packing collection for a trip. Every suggestion uses your real clothes, never items you do not have. What ChatGPT can do with your wardrobe: • Browse and search your pieces, saved outfits, calendar and collections • Compose outfits and check them against the weather and occasion • Save an outfit to Fits as an editable collage, plan it on a date or add it to a collection • Create collections and add pieces to them • Remember your preferences, sizes and dislikes for next time Saved outfits appear in the Fits app on your phone, where you can fine-tune and wear them. You stay in control: connect and disconnect ChatGPT at any time under Settings → Connectors in Fits.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-11-05
Tool count: 17
Market: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

Your score is coming

ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce Fits has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

17 tools agents can invoke

Add pieces and/or saved outfits to an existing list.
add_to_list
Pass the pieceIds of an outfit you composed. Returns the pieces with thumbnails, a rendered collage of the outfit (shown to the user in a card; do not paste image links into your reply) and warnings from a structural check (two pairs of shoes, missing footwear, too warm or too light for the temperature, formality far off the occasion). Warnings are advice, not rules: use your judgement. Give the temperature in °C and the occasion when known. Nothing is saved; use save_outfit for that.
show_outfit
Create a new list: "travel" for a trip or packing list, "wish" for things to buy, "custom" for anything else. Optionally add pieces right away.
create_list
Full content of one search result by id (piece:<id>, outfit:<id> or list:<id>).
fetch
Search the wardrobe by a natural-language description (name, category, colour, brand, material) in any language. Lexical plus semantic match; returns the best candidates with a confidence score and thumbnail.
find_pieces
The pieces and saved outfits in one list.
get_list
Full details of one wardrobe piece by pieceId, with thumbnail, wear history and the saved outfits it appears in.
get_piece
One saved outfit by outfitId: pieces with thumbnails, the outfit image, occasions, calendar dates it is planned or was worn on, and lists it belongs to.
get_outfit
Calendar entries between two dates (default: the last 7 days to 14 days ahead, at most 92 days): which saved outfit is planned or was worn on which day.
get_calendar
Who the user is (name, gender, age, style archetypes), what the stylist remembers about them, today's date and season, and wardrobe statistics (counts by slot, category, colour and season, unworn pieces, saved outfits, lists). Call it first in a conversation. Pass the user's timezone and locale when you know them so today and dates are right; nothing is stored (use remember to keep them for future conversations).
get_profile
Saved outfits, most recent first, with their pieces. Filter by occasion, by a piece they contain, or by list. Use get_outfit for the image and calendar dates of one outfit.
list_outfits
All lists (travel/packing, wish, custom) with type and item count. Use get_list for the items of one list.
list_lists
The wardrobe. Without filters it returns every piece in compact form (id, name, category, slot, colours, brand, seasons, warmth 1-5, formality 1-5, description, times worn), which is what you compose outfits from. Filter by slot, category, colour, brand, season, list, recently added or unworn (no wear in 90 days) to get candidates for one part of an outfit; use find_pieces for free-text search. detail "full" adds materials, price, dates and a thumbnail URL.
list_pieces
Store durable facts for future conversations in Fits and here: sizes, dislikes, modesty preferences, body and colour facts, style words, plus the timezone and locale to use for dates when the host does not send them. Only store what the user stated or clearly implied.
remember
Save a composed outfit (pieceIds) to the user's Fits wardrobe as an editable collage, optionally named, tagged with occasions, planned on a calendar date (YYYY-MM-DD) and/or added to a list (travel lists also get the pieces). Each call creates a new outfit, so call it once per outfit and only after the user asked to save, plan or pack it. Returns the outfitId; the user sees the saved outfit as a card.
save_outfit
Keyword search over the user's pieces, saved outfits and lists. Returns ids to pass to fetch. For composing outfits prefer list_pieces and find_pieces; this pair exists for research-style lookups.
search
Display wardrobe pieces to the user as a card with thumbnails (a grid for several pieceIds, a detail view for one). Use it after list_pieces, find_pieces or get_piece whenever the user should see the pieces rather than only read about them. The card shows the thumbnails; do not paste image links into your reply.
show_pieces

FAQs

Fits ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Fits's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.