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Planning a multi-stop itinerary v1.0.0

Use this resource to organize a multi-stop trip without overpacked days

New

  • 403 downloads
  • 194 likes
  • 171 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install multi-stop-trip-itinerary

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent optimizes the order of stops, calculates realistic times, places transport and bookings, and adds buffer for the unexpected. You get a day-by-day plan with backup options.

Mostly picked by

Updated November 2, 2026

Card for the “Planning a multi-stop itinerary” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: optimization method and output format
  • SKILL.md: best practices, recommendations and common use cases

Good fit for

  • You want to visit several cities without chaining long transfers
  • You are organizing a group trip with several bookings

Not for

    Tags

    • travel
    • itinerary
    • planning

    About

    You say

    “Plan three days between Lisbon, Porto and Coimbra: train, two booked restaurants and some slack for the unexpected.”

    Card for the “Planning a multi-stop itinerary” skill

    Skill published by onewave-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to organize a multi-stop trip without overpacked days
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.6 KB

    Origin and licence

    Listed unmodified

    Author
    onewave-ai
    Source
    github.com/onewave-ai/claude-skills/tree/b2267d9171af4f56848d82992381b20b89b44056/itinerary-optimizer
    Licence
    MIT

    Notice

    « itinerary-optimizer » (onewave-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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