Travel

Plan what to pack from photos of your own closet

  • Level Intermediate
  • Setup1–3 hrs (estimated)
  • Evidence Anecdotal
  • CostNot stated in source
  • No-codeYes
Grok BotSource-linked

What they did

A user's "Fashion Stylist" Grok Bot gathers her trip details, then builds two packing options as a 4x4 grid of photos of clothes she actually owns. The bot had earlier turned her closet photos into image assets. Locked must-have items never get swapped, and it reads her style notes on which pieces she loves and what goes together.

How it went

It returns two slightly different pack lists as photo grids. Items she never photographed, like a rain jacket and pajamas, show as placeholder tiles.

Worth knowing

  • You have to photograph your clothes first; anything without a photo shows as a placeholder.
  • The post shows the packing grid, not how the trip went.

Prompt

Cleaned version rewritten from the source — not a direct quote.

I'm going to [destination] for [days] on [dates]. Weather: [forecast]. Plans: [activities]. Using my closet photos and style notes, build two packing options as a 4x4 grid. Keep these must-haves locked: [items]. Use placeholder tiles for anything without a photo.

Recommended

Try it in Grok Bot

  1. Copy the prompt (button below).
  2. Open Grok Bot chat and paste it. Replace any [bracketed] placeholders.
  3. Connect the listed tools (as needed) as connectors when Grok Bot asks.
  4. If the task repeats, ask: "Make this a daily routine."

Alternatives: the same prompt works in Claude, ChatGPT Agent, OpenClaw.

Set it up

Stack: Grok Bot

  1. Read the original source for full context.
  2. Connect the tools your agent needs.
  3. Paste the prompt and replace [bracketed] placeholders.
  4. Run once manually and check the output before scheduling it.

Generic suggested steps, not from the source.

Evidence

You have to photograph your clothes first; anything without a photo shows as a placeholder. The post shows the packing grid, not how the trip went

Source: X · 2026-09-22 · Verified by us: not yet · Report broken or outdated

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