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Duffel

Community
borski
duffel

Real-time GDS flight search via Duffel API. Accurate per-fare-class pricing, cabin selection, multi-city, time preferences. Primary cash price source. Does not include Southwest.

Overview

Publisherborski
Repositorytravel-hacking-toolkit
Skill nameduffel
Stars
690
Forks
75
Bundled files
Instructions only
LicenseMIT
Links
  • 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 Duffel AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/borski/travel-hacking-toolkit/tree/main/plugins/travel-hacking-toolkit/skills/duffel
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

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/duffel .claude/skills/duffel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Duffel 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 Duffel 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 Duffel 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.

Duffel Flights

Search for real-time flight offers across airlines via the Duffel API. Returns live pricing, cabin details, baggage info, and booking links. Supports one-way, round-trip, and multi-city searches.

Source: duffel.com

Prerequisites

  • DUFFEL_API_KEY_LIVE environment variable set with a live API token
  • Token needs air.offer_requests.create permission

API Basics

  • Base URL: https://api.duffel.com
  • Version header: Duffel-Version: v2 (REQUIRED, v1 is deprecated)
  • Auth: Authorization: Bearer $DUFFEL_API_KEY_LIVE
  • Content-Type: application/json
  • Rate limit: 60 requests per 60 seconds

Search Flights (One-Way)

bash
curl -s -X POST "https://api.duffel.com/air/offer_requests?return_offers=true&supplier_timeout=15000" \
  -H "Accept: application/json" \
  -H "Duffel-Version: v2" \
  -H "Authorization: Bearer $DUFFEL_API_KEY_LIVE" \
  -H "Content-Type: application/json" \
  -d '{
    "data": {
      "slices": [{
        "origin": "SFO",
        "destination": "NRT",
        "departure_date": "2026-08-15"
      }],
      "passengers": [{"type": "adult"}],
      "cabin_class": "economy"
    }
  }'

Search Flights (Round-Trip)

Add a second slice with origin/destination reversed:

bash
curl -s -X POST "https://api.duffel.com/air/offer_requests?return_offers=true&supplier_timeout=15000" \
  -H "Accept: application/json" \
  -H "Duffel-Version: v2" \
  -H "Authorization: Bearer $DUFFEL_API_KEY_LIVE" \
  -H "Content-Type: application/json" \
  -d '{
    "data": {
      "slices": [
        {
          "origin": "SFO",
          "destination": "NRT",
          "departure_date": "2026-08-15"
        },
        {
          "origin": "NRT",
          "destination": "SFO",
          "departure_date": "2026-08-22"
        }
      ],
      "passengers": [{"type": "adult"}],
      "cabin_class": "business"
    }
  }'

Search Flights (Multi-City)

Add as many slices as needed:

bash
curl -s -X POST "https://api.duffel.com/air/offer_requests?return_offers=true&supplier_timeout=15000" \
  -H "Accept: application/json" \
  -H "Duffel-Version: v2" \
  -H "Authorization: Bearer $DUFFEL_API_KEY_LIVE" \
  -H "Content-Type: application/json" \
  -d '{
    "data": {
      "slices": [
        {"origin": "SFO", "destination": "NRT", "departure_date": "2026-08-15"},
        {"origin": "NRT", "destination": "ICN", "departure_date": "2026-08-20"},
        {"origin": "ICN", "destination": "SFO", "departure_date": "2026-08-25"}
      ],
      "passengers": [{"type": "adult"}],
      "cabin_class": "economy"
    }
  }'

Nonstop Only

Set max_connections to 0:

bash
curl -s -X POST "https://api.duffel.com/air/offer_requests?return_offers=true&supplier_timeout=15000" \
  -H "Accept: application/json" \
  -H "Duffel-Version: v2" \
  -H "Authorization: Bearer $DUFFEL_API_KEY_LIVE" \
  -H "Content-Type: application/json" \
  -d '{
    "data": {
      "slices": [{
        "origin": "SFO",
        "destination": "NRT",
        "departure_date": "2026-08-15"
      }],
      "passengers": [{"type": "adult"}],
      "cabin_class": "business",
      "max_connections": 0
    }
  }'

Multiple Passengers

json
"passengers": [
  {"type": "adult"},
  {"type": "adult"},
  {"age": 10},
  {"type": "infant_without_seat"}
]

Use age instead of type for children to avoid passenger type mismatches between search and booking.

Time Preferences

Constrain departure or arrival times:

json
"slices": [{
  "origin": "SFO",
  "destination": "NRT",
  "departure_date": "2026-08-15",
  "departure_time": {"from": "08:00", "to": "14:00"},
  "arrival_time": {"from": "06:00", "to": "18:00"}
}]

Query Parameters

ParameterDefaultDescription
return_offerstrueSet to false to get just the request ID, then fetch offers separately
supplier_timeout20000Max ms to wait for airline responses (2000 to 60000)

Reading the Response

The response is nested under data. Key fields:

data.id                              -> offer request ID
data.offers[]                        -> array of flight offers
  .id                                -> offer ID (use to get details or book)
  .total_amount / .total_currency    -> total price
  .base_amount / .base_currency      -> base fare (before tax)
  .tax_amount / .tax_currency        -> taxes
  .owner.name                        -> airline selling this
  .expires_at                        -> when offer expires
  .slices[]                          -> journey legs
    .origin.iata_code                -> departure airport
    .destination.iata_code           -> arrival airport
    .duration                        -> e.g. "PT11H30M"
    .segments[]                      -> individual flights
      .marketing_carrier.name        -> airline name
      .marketing_carrier_flight_number
      .operating_carrier.name        -> actual operating airline
      .departing_at / .arriving_at   -> datetime
      .duration                      -> segment duration
      .origin.iata_code / .destination.iata_code
      .passengers[].cabin_class      -> economy/business/first
      .passengers[].cabin.amenities  -> wifi, power, seat info
      .passengers[].baggages[]       -> checked/carry_on allowances
  .conditions                        -> refund/change policies
    .refund_before_departure.allowed
    .change_before_departure.allowed
    .change_before_departure.penalty_amount

Get Offer Details

Retrieve full details for a specific offer:

bash
curl -s "https://api.duffel.com/air/offers/$OFFER_ID" \
  -H "Accept: application/json" \
  -H "Duffel-Version: v2" \
  -H "Authorization: Bearer $DUFFEL_API_KEY_LIVE"

Parsing Tips

Extract the 5 cheapest offers with jq:

bash
| jq '[.data.offers | sort_by(.total_amount | tonumber) | .[:5][] | {
  price: (.total_amount + " " + .total_currency),
  airline: .owner.name,
  route: [.slices[] | (.origin.iata_code + " -> " + .destination.iata_code)],
  segments: [.slices[].segments[] | {
    flight: (.marketing_carrier.iata_code + .marketing_carrier_flight_number),
    carrier: .operating_carrier.name,
    depart: .departing_at,
    arrive: .arriving_at,
    cabin: .passengers[0].cabin_class,
    duration: .duration
  }],
  stops: ([.slices[].segments | length] | map(. - 1)),
  expires: .expires_at
}]'

Cabin Classes

ValueDescription
economyStandard economy
premium_economyPremium economy
businessBusiness class
firstFirst class

Important Notes

  • Offers expire quickly (usually 15 to 30 minutes). Check expires_at.
  • Always show the operating carrier name (US DOT regulation).
  • Set supplier_timeout lower than your HTTP client timeout.
  • Use age for child passengers instead of type to avoid airline mismatch errors.
  • The API returns real GDS prices. These are bookable, not estimates.
  • Duffel aggregates across multiple airlines in a single search.

Frequently asked questions

What does the Duffel AI skill do?

Real-time GDS flight search via Duffel API. Accurate per-fare-class pricing, cabin selection, multi-city, time preferences. Primary cash price source. Does not include Southwest.

Why use Duffel on TypingMind?

Because you install it once and use it with any model. Duffel 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 Duffel 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/duffel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Duffel?

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 Duffel?

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

Is the Duffel 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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