---
name: mail-travel-ebeef55b79f1
description: >-
  Find flight bookings, hotel reservations, travel itineraries, and booking confirmations from email. Use when user asks about upcoming trips, travel plans, booking references, flight details, or hotel reservations. Arguments: optional destination, airline, date range, or booking service.
disable-model-invocation: false
user-invocable: true
allowed-tools: Bash
metadata:
  openclaw:
    requires:
      bins: [sqlite3, python3]
---

# Mail Travel — Bookings, Flights, and Itineraries

Search: **$ARGUMENTS** (default: recent and upcoming travel)

## Step 1: Find travel-related emails
```bash
DB="$HOME/Library/Mail/V10/MailData/Envelope Index"

sqlite3 "$DB" "
SELECT datetime(m.date_received,'unixepoch','localtime') as dt,
       s.subject, a.address as sender, a.comment as name,
       mb.url, m.ROWID
FROM messages m
JOIN subjects  s  ON m.subject = s.ROWID
JOIN addresses a  ON m.sender  = a.ROWID
JOIN mailboxes mb ON m.mailbox = mb.ROWID
WHERE m.deleted = 0
  AND mb.url NOT LIKE '%Spam%' AND mb.url NOT LIKE '%Trash%'
  AND (
    -- Travel booking senders
    a.address LIKE '%agoda%'
    OR a.address LIKE '%booking.com%'
    OR a.address LIKE '%airbnb%'
    OR a.address LIKE '%travelio%'
    OR a.address LIKE '%tiket%'
    OR a.address LIKE '%traveloka%'
    OR a.address LIKE '%expedia%'
    OR a.address LIKE '%hotels.com%'
    OR a.address LIKE '%airasia%'
    OR a.address LIKE '%garuda%'
    OR a.address LIKE '%lionair%'
    OR a.address LIKE '%batik%'
    OR a.address LIKE '%citilink%'
    OR a.address LIKE '%singaporeair%'
    OR a.address LIKE '%united%'
    OR a.address LIKE '%delta%'
    OR a.address LIKE '%emirates%'
    OR a.address LIKE '%gojek%'
    OR a.address LIKE '%grab%'
    -- By subject
    OR s.subject LIKE '%flight%'
    OR s.subject LIKE '%hotel%'
    OR s.subject LIKE '%booking%'
    OR s.subject LIKE '%reservation%'
    OR s.subject LIKE '%itinerary%'
    OR s.subject LIKE '%check-in%'
    OR s.subject LIKE '%boarding%'
    OR s.subject LIKE '%e-ticket%'
    OR s.subject LIKE '%confirmation%'
    OR s.subject LIKE '%your trip%'
    OR s.subject LIKE '%upcoming trip%'
    OR s.subject LIKE '%airport%'
  )
ORDER BY m.date_received DESC
LIMIT 100;" 2>/dev/null
```

## Step 2: Filter by destination/dates if specified
If $ARGUMENTS contains a destination or date, add LIKE filters on subject.

## Step 3: Parse booking details
```bash
python3 ~/.claude/skills/_mail-shared/parser.py <ROWID1> <ROWID2> ...
```

From bodies extract:
- **Flights**: origin → destination, airline, flight number, departure date/time, arrival, class, booking reference
- **Hotels**: property name, check-in/check-out dates, room type, booking ID
- **Rental/Apartment**: property ID, address, check-in time, host contact
- **Total amount paid**
- **Cancellation policy**
- **Booking reference/ID**

## Step 4: Build itinerary view
Sort by travel date (not email received date) to create a chronological itinerary.

## Output Format
Group by trip (cluster bookings by date proximity):

**Trip: [Destination] — [Date Range]**
- Flight: [route] on [date] — Ref: [booking ref]
- Hotel: [name] [check-in] to [check-out] — Ref: [ID]
- Total spent: [amount]

Also note:
- Pending check-ins (upcoming within 7 days)
- Pending refunds from cancelled trips
- Baggage allowance if mentioned


---
Source attribution: aashari
Original project: https://github.com/aashari/ai-agent-skills/blob/42445bdfaaf6d2dddcd74ff5c3e6fd82c4287867/skills/apple-mail/mail-travel/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Ashari Tech

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: aashari
Original project: https://github.com/aashari/ai-agent-skills/blob/42445bdfaaf6d2dddcd74ff5c3e6fd82c4287867/skills/apple-mail/mail-travel/SKILL.md
Attribution basis: Source repository record

Fields of work: Sales
Roles: Customer Success Manager
Specialties: Specialty not specified
Tools: Sqlite3, Python3
Country applicability: Country not specified
Classification basis: Source category, role and specialization labels
Instruction SHA-256: ab22fde0ea016f1ed4b71a5eeb6266c8f74d055d5b28bc5fad894e80d085d4d7