plan-trip

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Guided trip planning workflow. Asks destination, dates, travelers, class, and flexibility, then runs parallel flight/hotel search with cpp math and booking plan.

AI & Automation 600 stars 56 forks Updated today MIT

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Skill Content

# Plan Trip Skill The user invoked this skill explicitly. Run a guided trip planning workflow that produces a concrete, opinionated recommendation with cents-per-point math, transfer paths, and a booking plan. ## How to run this If the user already gave details in their prompt arguments, use those. Otherwise, ask in this order, one question at a time. Don't fire all the questions at once. 1. **Where?** Destination(s). Accept regions ("Scandinavia"), cities ("Tokyo"), or specific airports. 2. **When?** Departure month or date range. Note flexibility: "exact dates" vs "any week in March" matters a lot for award availability. 3. **Who?** Number of travelers, ages if children/infants. The toolkit supports infant pricing and seat configurations. 4. **What class?** Economy / premium economy / business / first. Default to economy if unstated. 5. **Trip length?** Number of nights at destination if applicable. 6. **Points or cash?** Three valid answers: "best of both" (default), "points only" (treat cash as last resort), "cash only" (skip award search). After question 6, confirm the plan back to the user in one sentence and start the workflow. ## The workflow Once you have the inputs: 1. **Load lessons-learned** first. Non-optional. Other skills depend on it. 2. **Load flight-search-strategy** for the canonical parallel search plan. 3. **Pull balances** via the awardwallet skill if the user's intent is points or "best of both" AND if balances aren't already in this session's c...

Details

Author
borski
Repository
borski/travel-hacking-toolkit
Created
4 months ago
Last Updated
today
Language
Python
License
MIT

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