How to Build a Capsule Wardrobe List from Climate and Dress Code

Capsule lists invent Uniqlo SKUs and 12 C. The brief had rain and a navy sweater. Leave shoes as a gap.

The matching generator is the Capsule Wardrobe List from Climate and Dress Code (No Invented Prices or Brands) (Capsule Wardrobe List From Climate And Dress Code No Invented Prices) prompt. Browse related cards in the PromptDig library (Browse more prompts). When a filled run survives, share the version you actually use (Share a prompt).

Quote climate or write CLIMATE UNKNOWN

Build a capsule wardrobe list from climate and dress-code facts. No invented prices, brands, or weather. Start by filling Inputs, not by asking the model to remember last week's run. If a field is blank, write NONE or NOT IN INPUTS and leave it blank through Generate. The card is built so the model cannot honestly invent a number, owner, URL, or command that you did not paste.

Paste these fields before you hit run:

Climate facts I lock (range, rain, or UNKNOWN): [Climate]
Dress code I lock: [Code]
Pieces I already own (or NONE): [Owned]
Words I must not use: [Banned]
What I must never invent (prices, brands, weather): [Never]
Output format: [Format]
Language: [Lang]
Max pieces: [Max]
Color notes I allow (or NONE): [Colors]

That inventory is the honesty ledger. Anything that does not appear there is forbidden in the draft. If you catch yourself adding a nice-to-have after the run, you are no longer using the card. You are ghostwriting. Put the extra fact in Inputs and run again.

Prefer owned pieces before generic new-to-get

Generate is numbered on purpose. Do not skip a step because the first paragraph looked done. The early steps exist to stop later prose from smuggling claims.

Walk the Generate list in order:

1. Honesty ledger: Climate, Code, Owned, Colors, Lang, Max. Forbidden: invented USD, invented brand names, invented C.
2. Climate note: quote Climate or write CLIMATE UNKNOWN. Do not pull a forecast.
3. Capsule list: at most Max pieces. Prefer Owned. New-to-get lines stay generic (no brand).
4. Dress-code check: each piece tagged to Code. If a piece fails Code, mark FAIL rather than replacing with a brand.
5. Refuse list: Uniqlo SKUs, price tags, influencer haul captions, invented 12 C lows.
6. Colors: quote Colors or write COLORS NONE. Do not invent a seasonal palette name.
7. Never: do not write $48 or name a retailer.
8. Compliance pass: quote Banned and Never hits. Cut them. Count pieces vs Max. Format as Format.

If a step asks for a version lock, quote the version from Inputs in the output. If a step asks for a refuse list, keep the refuse list in the published artifact, not in a sidebar you delete. Reviewers should see what the model was not allowed to do.

Tag each piece against the dress code

Most failures are the same shape: a missing field gets a confident fill. A conversion rate appears. A Gradle task appears. A flash point appears. A caption appears on a job that asked for slide text only. Your review is to search the draft for numbers, names, and commands, then grep Inputs. No match means cut.

Honor the constraints as hard stops, not vibes:

• Capsule list from Climate and Code. Not a haul and not a forecast.
• Never invent prices, brands, or weather numbers.
• Stay at or under Max pieces.
• No emojis.

When the card says not legal advice, not certification, not an exam dump, or not a caption engine, that sentence belongs at the top of the output. Deleting it to look more finished is how you inherit risk.

Refuse prices brands and forecast numbers

Finish with the compliance pass the prompt already asks for. Quote the banned-word hits. Cut them. Print character counts when the job has a cap. Print word counts when the job has a budget. List gaps as gaps. Five missing facts are more useful than one smooth paragraph.

Tags on the card (capsule wardrobe list, climate and dress code, no invented prices or brands) are a reminder of the job shape, not an invitation to wander into a neighboring cluster. If you need a different surface, open a different PromptDig card rather than stretching this one.

Fill the card, then run

Replace every bracket. Run on ChatGPT, Claude, or Gemini. Read the ledger first, then the artifact. If the model invents a commit, KPI, DOI, PEL, bid, or logo, discard the run. Tighten Inputs. Run again. Share the filled card that survived, not the first draft that sounded done.