Data processing
Skill cxcscmu/SkillLearnBench/skills/b1-one-shot-gemini-3-flash-preview/travel-planning/data-processing
Filter CSV data (restaurants, accommodations, attractions) based on criteria like city, cuisine, budget, and pet-friendliness.From its SKILL.md
npx -y skills add cxcscmu/SkillLearnBench --skill data-processingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
SKILL.md
1.0 KB, 212 tokens by cl100k_base, as published. Nobody here has run it
Data Processing
Use Pandas to filter travel datasets efficiently.
Example Usage
import pandas as pd
def filter_restaurants(df, city, cuisines):
# Filter by city
city_df = df[df['City'].str.lower() == city.lower()]
# Filter by cuisines (assuming Cuisines is a string like "American, Italian")
pattern = '|'.join(cuisines)
return city_df[city_df['Cuisines'].str.contains(pattern, case=False, na=False)]
def filter_accommodations(df, city, budget_per_night, pet_friendly=True):
city_df = df[df['city'].str.lower() == city.lower()]
if pet_friendly:
# Assuming pet-friendly means 'No pets' is NOT in house_rules
city_df = city_df[~city_df['house_rules'].str.contains('No pets', case=False, na=False)]
return city_df[city_df['price'] <= budget_per_night]
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.