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Run2 itinerary planning

Skill cxcscmu/SkillLearnBench/skills/b2-self-feedback-claude-sonnet-4-6/travel-planning/run2_itinerary-planning

[COLM'26] SkillLearnBench is the first benchmark for evaluating continual learning methods that automatically generate agent skills.

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npx -y skills add cxcscmu/SkillLearnBench --skill run2_itinerary-planning

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Build a multi-city road-trip travel itinerary from dataset files with complete budget tracking, pet-friendly constraints, cuisine coverage, and correct JSON output format.

SKILL.md

3.7 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

Multi-City Road-Trip Itinerary Planning (Improved)

Planning Checklist

Step 1: Route and Day Assignment

  • Identify origin and N destination cities
  • Fetch driving distances for all pairs
  • Assign city days:
    • Day 1: Origin → City 1 (driving day, ~full day)
    • Days 2..k1: City 1 exploration
    • Day k1+1: City 1 → City 2 (driving day)
    • ...
    • Last day: Last City → Origin (driving day, no accommodation needed)

Step 2: Accommodation Selection

Filters (all must pass):

  1. city column matches target city (case-insensitive, exact city name)
  2. house_rules does NOT contain "No pets"
  3. maximum occupancy >= number of travelers
  4. minimum nights <= number of nights planned

Sort preference: Higher review rate, lower price.

Step 3: Restaurant Selection

  • Use Cuisines column to match preferred cuisine types
  • Spread cuisine variety across days (American, Mediterranean, Chinese, Italian)
  • Avoid assigning restaurants from wrong city
  • Different restaurants per meal where possible

Step 4: Budget Calculation

total_cost = 0
for each city:
    total_cost += accommodation.price * nights_in_city

for each meal (not "-"):
    total_cost += restaurant.avg_cost * num_travelers

assert total_cost <= budget

Step 5: Attraction Selection

  • Use attractions.csv with exact city match
  • List multiple attractions on exploration days
  • Use "-" for driving-only days (unless short drive arrives early)

JSON Output Format Rules

{
  "plan": [
    {
      "day": 1,
      "current_city": "from Minneapolis to Cleveland",
      "transportation": "Self-driving: from Minneapolis to Cleveland, 11 hours 14 mins, 1,219 km",
      "breakfast": "Restaurant Name, City",
      "lunch": "-",
      "dinner": "Restaurant Name, City",
      "attraction": "-",
      "accommodation": "Accommodation NAME, City"
    }
  ],
  "data_sources": [...]
}

Field rules:

  • current_city: "from A to B" on transit days; city name on stay days
  • transportation: "Self-driving: from A to B, DURATION, DISTANCE" on transit days; "-" on stay days
  • attraction: semicolon-separated ending with ;; "-" on full driving days
  • accommodation: "NAME, City" using exact NAME from CSV; "-" on final return day
  • Meal fields: "Restaurant Name, City" or "-" if skipped
  • Lunch may be "-" on long driving days

Budget Example (2 people, 7 days, $5,100, 3 Ohio cities)

ItemCalculationCost
Cleveland accommodation (2 nights)2 × $408$816
Columbus accommodation (2 nights)2 × $861$1,722
Cincinnati accommodation (2 nights)2 × $264$528
Day 1 meals (2 people)($14+$27) × 2$82
Day 2 meals (2 people)($36+$54+$80) × 2$340
Day 3 meals (2 people)($25+$65+$31) × 2$242
Day 4 meals (2 people)($24+$55+$70) × 2$298
Day 5 meals (2 people)($86+$67+$62) × 2$430
Day 6 meals (2 people)($26+$20+$93) × 2$278
Day 7 meals (2 people)$26 × 2$52
TOTAL$4,788

Budget remaining: $312 (within $5,100 budget ✓)

Cuisine Coverage Table

Track coverage to ensure each preferred cuisine appears multiple times:

CuisineMeals
AmericanDay2-lunch, Day4-breakfast, Day5-breakfast, Day6-breakfast, Day7-breakfast
MediterraneanDay1-breakfast, Day2-breakfast, Day3-lunch, Day5-dinner
ChineseDay3-breakfast, Day4-lunch, Day5-lunch, Day6-dinner
ItalianDay1-dinner, Day2-dinner, Day3-dinner, Day4-dinner, Day6-lunch

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