search-flights

Filter flights by origin, destination, and date by querying a bundled CSV dataset with pandas. The Skill loads the data and returns a structured table of matching flight options, including times and prices, for itinerary planning.

A CSV dataset with specific columns is required to search flight options. The Skill uses a prepackaged flights dataset containing origin, destination, and departure date fields to validate routes and list available travel options.

Yes, pandas is a required dependency for filtering flight datasets. The underlying Python class uses the pandas library to load the bundled flights dataset and execute the filtering logic based on your specified route and date parameters.

You can use the annotation variant to strip extraneous text in origin and destination fields. This prepares the filtered flight data for human review by cleaning up the route information returned from the queried dataset.

Filtering routes by date returns a structured table of relevant flight details. This includes pricing, flight times, and distance metrics extracted from the dataset to help you effectively plan travel itineraries.