Ignav

Community

borski

ignav

Fast REST API flight search via ignav.com. Cash prices, booking links, market selection for price arbitrage. Include in every flight search alongside Duffel and other sources.

Overview

Publisher	borski
Repository	`travel-hacking-toolkit`
Skill name	`ignav`
Stars	690
Forks	75
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by borski on GitHub. Read the source before you install it.

Installation

Install the Ignav AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/borski/travel-hacking-toolkit/tree/main/plugins/travel-hacking-toolkit/skills/ignav
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/borski/travel-hacking-toolkit/tree/main/plugins/travel-hacking-toolkit/skills/ignav

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/borski/travel-hacking-toolkit.git /tmp/travel-hacking-toolkit
mkdir -p .claude/skills
cp -r /tmp/travel-hacking-toolkit/plugins/travel-hacking-toolkit/skills/ignav .claude/skills/ignav

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ignav in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ignav on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ignav is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

Parse the user's request (origin, destination, dates, trip type, passengers, cabin)
Look up airport codes if user gave city names
Search flights (one-way or round-trip)
Present results in markdown table
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.

Frequently asked questions

What does the Ignav AI skill do?

Fast REST API flight search via ignav.com. Cash prices, booking links, market selection for price arbitrage. Include in every flight search alongside Duffel and other sources.

Why use Ignav on TypingMind?

Because you install it once and use it with any model. Ignav is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ignav in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/borski/travel-hacking-toolkit/tree/main/plugins/travel-hacking-toolkit/skills/ignav. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ignav?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ignav?

As many as you like. As long as a model supports skills, you can use Ignav with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ignav AI skill free?

Yes. It is published on GitHub by borski under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Flight Search via Ignav API

Setup

Workflow

Endpoints

Search Airports

One-Way Flights

Round-Trip Flights

Booking Links

Parameters

Response Structure

Output Format

Notes

Frequently asked questions

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