Itinerary data researcher

Skill cxcscmu/SkillLearnBench/skills/b4-skill-creator-gemini-3-flash-preview/travel-planning/itinerary-data-researcher

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

Install

npx -y skills add cxcscmu/SkillLearnBench --skill itinerary-data-researcher

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.3 KB, 330 tokens by cl100k_base, as published. Nobody here has run it

name: itinerary-data-researcher description: How to extract travel data from the project's CSV files. Use this skill when searching for accommodations, restaurants, attractions, or distances.

Data Extraction Guidelines

1. Accommodations (data/accommodations/clean_accommodations_2022.csv)

Columns: ,NAME,room type,price,minimum nights,review rate number,house_rules,maximum occupancy,city
Pet-Friendly Check: Search for house_rules that DO NOT contain "No pets". Use grep to filter for the city and then check rules.
Price: Ensure price fits within the daily budget (approx. $200-$400 per night).

2. Restaurants (data/restaurants/clean_restaurant_2022.csv)

Columns: ,Name,City,Cuisines,Average Cost,Aggregate Rating
Cuisine Matching: Filter by City and then by Cuisines (American, Mediterranean, Chinese, Italian).
Cost: Average Cost is for two people.

3. Attractions (data/attractions/attractions.csv)

Columns: Name,Latitude,Longitude,Address,Phone,Website,City
Selection: Filter by City and select popular or interesting POIs.

4. Distances (data/googleDistanceMatrix/distance.csv)

Columns: origin,destination,cost,duration,distance
Travel Planning: Use duration to estimate travel time. Ensure no flights are used.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.