Agent skill

ignav

Search for flights using the Ignav API. Fast REST API for flight prices and booking links. Use alongside other flight sources for price comparison. Always include in every flight search. Triggers on any flight-related search request.

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/borski/travel-hacking-toolkit/tree/main/skills/ignav

SKILL.md

Flight Search via Ignav API

Fast REST API flight search at https://ignav.com. Returns structured JSON with prices, itineraries, and booking links. 1,000 free requests, no rate limit.

Setup

Get a free API key at https://ignav.com/signup (1,000 requests, no credit card).

Set IGNAV_API_KEY in your environment or .env file.

Workflow

  1. Parse the user's request (origin, destination, dates, trip type, passengers, cabin)
  2. Look up airport codes if user gave city names
  3. Search flights (one-way or round-trip)
  4. Present results in markdown table
  5. Get booking links if user wants to book

Endpoints

Search Airports

bash
curl -s "https://ignav.com/api/airports?q=Barcelona&limit=5" \
  -H "X-Api-Key: $IGNAV_API_KEY"

One-Way Flights

bash
curl -s -X POST "https://ignav.com/api/fares/one-way" \
  -H "X-Api-Key: $IGNAV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "origin": "SFO",
    "destination": "JFK",
    "departure_date": "2026-05-15",
    "adults": 1,
    "cabin_class": "economy"
  }'

Round-Trip Flights

bash
curl -s -X POST "https://ignav.com/api/fares/round-trip" \
  -H "X-Api-Key: $IGNAV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "origin": "SFO",
    "destination": "JFK",
    "departure_date": "2026-05-15",
    "return_date": "2026-05-20",
    "adults": 1,
    "cabin_class": "economy"
  }'

Booking Links

bash
curl -s -X POST "https://ignav.com/api/fares/booking-links" \
  -H "X-Api-Key: $IGNAV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"ignav_id": "the_itinerary_id", "adults": 1}'

Parameters

Parameter Type Description
adults int Number of adults (default: 1)
children int Number of children (default: 0)
cabin_class string economy, premium_economy, business, first
max_stops int 0 (direct only), 1, or 2
max_price int Maximum price filter
departure_time_range object {"earliest_hour": 8, "latest_hour": 20}
airlines_include array Only these airline codes
airlines_exclude array Exclude these airline codes
market string Country code for pricing (default: "US"). Different markets return different prices.

Response Structure

Each itinerary contains:

  • price: {"amount": 299, "currency": "USD"}
  • outbound: carrier, duration_minutes, segments array
  • inbound: same (null for one-way)
  • cabin_class: the cabin class
  • bags: {"carry_on": 1, "checked": 0}
  • ignav_id: unique ID for booking links

Each segment: marketing_carrier_code, flight_number, departure_airport, departure_time_local, arrival_airport, arrival_time_local, duration_minutes, aircraft.

Output Format

Always use markdown tables.

# Airline Stops Duration Depart Arrive Price Bags
1 Vueling Nonstop 2h 15m 8:30 AM 10:45 AM EUR 125 1 carry-on
2 Ryanair Nonstop 2h 20m 6:15 AM 8:35 AM EUR 89 1 carry-on

After the table, highlight cheapest, fastest, and best value. Call out tradeoffs. Offer booking links.

Notes

  • Dates are required for all searches
  • Default to round-trip and economy if not specified
  • Use airport search endpoint for city name lookups
  • Market affects prices. Same route can cost significantly less from a different market. Try departure country first, then destination country.
  • Does NOT include Southwest. Use google-flights skill for SW.

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