Extracts travel bookings and itineraries from emails, providing users with organized details about flights and accommodations.
Installable skillMITBy aashariUpdated Nov 3, 2026
INTENDED FOROpenClawInstall in a listed agent.
instructions.md
---
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 $ARGUMENTS contains a destination or date, add LIKE filters on subject.
## Step 3: Parse booking details
```bash
python3 ~/.claude/skills/_mail-shared/parser.py <ROWID1> <ROWID2> ...
```
From bodies extract:
- **Flights**: origin → destination, airline, flight number, departure date/time, arrival, class, booking reference
- **Hotels**: property name, check-in/check-out dates, room type, booking ID
- **Rental/Apartment**: property ID, address, check-in time, host contact
- **Total amount paid**
- **Cancellation policy**
- **Booking reference/ID**
## Step 4: Build itinerary view
Sort by travel date (not email received date) to create a chronological itinerary.
## Output Format
Group by trip (cluster bookings by date proximity):
**Trip: [Destination] — [Date Range]**
- Flight: [route] on [date] — Ref: [booking ref]
- Hotel: [name] [check-in] to [check-out] — Ref: [ID]
- Total spent: [amount]
Also note:
- Pending check-ins (upcoming within 7 days)
- Pending refunds from cancelled trips
- Baggage allowance if mentioned
---
name: mail-travel-ebeef55b79f1
description: >-
Find flight bookings, hotel reservations, travel itineraries, and booking confirmations from email. Use when user asks about upcoming trips, travel plans, booking references, flight details, or hotel reservations. Arguments: optional destination, airline, date range, or booking service.
disable-model-invocation: false
user-invocable: true
allowed-tools: Bash
metadata:
openclaw:
requires:
bins: [sqlite3, python3]
---
# Mail Travel — Bookings, Flights, and Itineraries
Search: **$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
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
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