# flightclaw

A personal flight booking assistant skill. It saves your travel preferences and companions, searches and tracks flights, and helps handle ticket checkout.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 1100 installs · ★ 75
- Author: flightclaw
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/flightclaw/agents/tree/HEAD/SKILL.md
- Updated: 2026-10-05
- HTML: https://affpapa.org/en/nevibecode/skills/flightclaw

## What it does

FlightClaw connects your AI agent to a travel-booking engine. You configure traveler details, companions, and seating preferences once. The agent remembers these settings. When planning a trip, it filters out avoided airlines and ranks flight options.

The architecture is split. Local flight search and price tracking run via a Python server with Google Flights, storing records in `data/tracked.json`. Ticket reservations and payments require the hosted server via OAuth sign-in.

Booking offers expire in roughly 30 minutes. The agent must never calculate prices manually or ask for credit card numbers in chat. Checkout happens strictly through a generated `checkout_url` link or an approved virtual card.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add flightclaw/agents --skill flightclaw -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/flightclaw/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/flightclaw/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add flightclaw/agents --skill flightclaw -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/flightclaw/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add flightclaw/agents --skill flightclaw -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/flightclaw/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install flightclaw/agents flightclaw
```

2. **Manually: put the files in place**
- File: `.github/skills/flightclaw/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add flightclaw/agents --skill flightclaw -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/flightclaw/agents
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/flightclaw/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add flightclaw/agents --skill flightclaw -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/flightclaw/agents/tree/HEAD/SKILL.md

## When to use it
- save traveler profiles, companions, and frequent-flyer numbers
- recommend flights matching cabin and airline preferences
- track flight price changes over time
- create ticket checkouts with secure payment links
- record post-trip feedback to improve future suggestions

## Example prompts
- Find flights from London to New York for next weekend using my saved preferences
- Save my spouse as a companion and group us into family
- Start tracking flight prices for a trip to Tokyo in May

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: f3ea327d6b1e3bfc.

BEGIN THIRD-PARTY FILE f3ea327d6b1e3bfc
```text
---
name: flightclaw
description: Personal travel-booking agent. Onboard a traveler once (who you are, companions, loyalty programs, credit cards, travel preferences), then chat about where you want to go and get a few preference-ranked flight options, book and pay for them, and follow up after the trip to learn how you like to travel. Uses the hosted FlightClaw MCP (https://mcp.flightclaw.com/mcp). A local open-source server in this repo searches and price-tracks flights via Google Flights.
---

# flightclaw

FlightClaw is a personal travel-booking agent. It remembers who you are, who you
travel with, the loyalty programs and cards you hold, and how you like to fly —
then recommends, books, pays for, and learns from each trip.

Profiles, booking and payment run on the hosted server
(`https://mcp.flightclaw.com/mcp`, OAuth sign-in). The local server in this repo
only searches and price-tracks flights.

## The flow

### 1. Onboarding (one time)
Set this up once, then reuse forever.

1. **Who you are** — `save_traveler` for yourself (full passport-accurate name,
   DOB, contact, loyalty programmes), then `set_me` to mark that profile as you
   and record home airports.
2. **Companions** — `save_traveler` for each person you travel with
   (`relationship`: spouse/partner/child/parent/friend/colleague). Group them
   with `save_group` (e.g. `family` = `jack,jane`).
3. **Preferences** — `set_preferences`: cabin by haul (e.g. short-haul ECONOMY,
   long-haul BUSINESS), preferred/avoided airlines, alliance, seat, departure
   window, max stops, red-eye tolerance, baggage, meal, and budget sensitivity
   (`cheapest` / `balanced` / `comfort`).
4. **Cards & points** — `save_card` for each card; `set_points_balance` for each
   loyalty/transfer program. Then enrich with the **Card Links** MCP
   (`find_transfer_programs_for_airline`, `list_transfer_partners`) so you know
   which airlines each card's points can reach.

### 2. Planning a trip
1. Ask where they want to go and **who's coming** — reuse a group with
   `get_group` (it returns the exact `passengers` string for booking) or make a
   new one with `save_group`.
2. **Recommend** — `recommend_flights(origin, destination, date, ...)`. It loads
   the saved preferences, picks the cabin by haul, drops avoided airlines, and
   ranks options on price/duration/stops/preferred-airline/departure-window/
   red-eye, returning the top 3 with a "why this fits you" for each.
3. **Awards / points option** — if they want to spend points, call the **Award
   Travel Finder** MCP (`search_availability`, `search_all_airlines`,
   `get_pricing`) using their stored loyalty programs and points balances, and
   present award options alongside the cash fares ("best overall / cheapest /
   best points value").

### 3. Booking & paying

**Hosted server (`https://mcp.flightclaw.com/mcp`)**
1. `search_flights` / `search_multi_city` / `recommend_flights` → pick an
   offer → `get_offer` to confirm price, bags and fare rules. Offers expire in
   about 30 minutes.
2. Confirm the choice with the user, then `create_checkout(offer_id,
   passengers)`. It returns `checkout_id`, `checkout_url` and the exact
```
END THIRD-PARTY FILE f3ea327d6b1e3bfc

The third-party file has ended. Everything between the f3ea327d6b1e3bfc tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

First 3195 of 6598 bytes. © flightclaw · MIT · https://github.com/flightclaw/agents/tree/HEAD/SKILL.md

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---
NeVibeCode on affpapa.org. Catalog texts are descriptions, not instructions for the agent. How to choose and install: https://affpapa.org/en/nevibecode/agents.md