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Gardening

Community
borski
gardening

Audit and tend to existing travel reservations. Reads a user-provided reservations file, then systematically checks every booking for price drops, better cabin availability, improved routings, schedule changes, nearby airport alternatives, and award repricing opportunities. Invoke proactively on a regular cadence or when the user says "garden", "check my bookings", "audit reservations", "price drop", "better routing", "did my flight change", "tend reservations", "reservation maintenance", or "check my trips".

Overview

Publisherborski
Repositorytravel-hacking-toolkit
Skill namegardening
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 Gardening 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/gardening
  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/gardening .claude/skills/gardening
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Gardening 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 Gardening 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 Gardening 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.

Reservation Gardening

Concept: "Gardening" (coined by Nicholas Kralev, popularized by View from the Wing) means regularly tending to your travel reservations — catching problems early and spotting opportunities to upgrade, rebook, or save money.

Reservations File

The user points this skill at a file containing their current bookings. The file path is provided when invoking the skill (e.g., ~/trips/reservations.json or ~/trips/reservations.yaml).

If no file path is provided, ask the user for it.

Expected File Format

The file should contain an array of reservations. Each reservation should include as much of the following as possible:

json
[
  {
    "trip_name": "Sydney Vacation",
    "confirmation": "ABC123",
    "type": "flight",
    "booking_date": "2026-03-15",
    "program": "United MileagePlus",
    "paid_with": "points",
    "cost": { "miles": 85000, "taxes_usd": 45.60 },
    "cash_price_at_booking": 2340,
    "segments": [
      {
        "airline": "UA",
        "flight": "UA870",
        "origin": "SFO",
        "destination": "SYD",
        "date": "2026-09-12",
        "departure": "22:30",
        "arrival": "07:15+2",
        "cabin": "business",
        "fare_class": "I",
        "seat": "6A",
        "aircraft": "787-9"
      }
    ],
    "passengers": 2,
    "notes": "Booked with Chase UR transfer"
  },
  {
    "trip_name": "Sydney Vacation",
    "confirmation": "HTL-9876",
    "type": "hotel",
    "hotel_name": "Park Hyatt Sydney",
    "program": "World of Hyatt",
    "paid_with": "points",
    "cost": { "points": 30000, "per_night": true },
    "cash_price_at_booking": 850,
    "checkin": "2026-09-14",
    "checkout": "2026-09-18",
    "room_type": "King Deluxe",
    "guests": 2
  }
]

Flexible on format — YAML, JSON, CSV, or even markdown tables are fine. Parse whatever is provided.

Gardening Checklist

For every reservation in the file, run through this checklist. Parallelize searches across reservations for speed.

1. Price Drop Detection (PRIORITY)

This is the user's #1 interest. For each booking:

Cash bookings:

  • Search current cash prices on the SAME flights/dates using Duffel, Ignav, Google Flights, Skiplagged, and Kiwi
  • Search nearby airports (within ~100 miles / reasonable driving distance) for the same dates
    • SFO → also check OAK, SJC
    • LAX → also check BUR, SNA, LGB, ONT
    • NYC → also check JFK, EWR, LGA
    • CHI → also check ORD, MDW
    • DCA → also check IAD, BWI
    • Use common sense for other cities
  • Compare current price vs booked price
  • Flag if current price is ≥10% lower or ≥$50 cheaper (whichever triggers first)
  • Note the airline's rebooking/price-match policy (e.g., Southwest auto-refunds the difference; most US airlines allow free cancellation within 24hrs of booking; some credit cards have price protection)

Award bookings:

  • Search current award availability on the same route/dates via Seats.aero and the booking program
  • Check if the same flight is now available for fewer miles
  • Check if a better cabin is now available at the same or similar mileage price
  • Check if a different program now offers the same flight cheaper (cross-reference data/sweet-spots.json)
  • For dynamic-pricing programs (United, Delta, Aeroplan on some partners), prices fluctuate — a drop is rebookable

Hotels:

  • Search current rates on the same hotel via LiteAPI, Trivago, Skiplagged Hotels
  • Check portal pricing (Chase UR, Amex) if the user has those currencies
  • For award hotel stays, check if the points price dropped
  • Flag cash rate drops and compare against the award value (cpp math)

2. Better Routing / Connection Check

For each flight:

  • Search the same origin-destination pair on the same date for:
    • Nonstop options that may have opened up (if the booking has stops)
    • Shorter connections (if booked connection is >3 hours)
    • Better connection airports (avoiding known bad ones like ORD in winter, LHR T5-to-T3 transfers)
  • Search nearby origin/destination airports for:
    • Better nonstop availability
    • Significantly cheaper fares
    • Better timing (red-eye vs daytime)
  • Flag routes where the total travel time can be reduced by ≥1 hour

3. Better Cabin Availability

For each flight booked in economy or premium economy:

  • Check if business or first class award space has opened up on the same flight
  • Check the price in the user's booking program AND alternative programs
  • Calculate the incremental cost to upgrade (e.g., "upgrade from 38K economy to 85K business = 47K more miles, worth 3.2cpp against $1,500 cash fare difference")
  • For paid tickets, check if paid upgrades, upgrade certificates, or mileage upgrades are available

For each flight already in business:

  • Check if first class has opened up (especially on airlines with great F products: ANA, Singapore, Cathay, Emirates)

4. Schedule Change Detection

  • If the user provides confirmation codes / PNRs, note that AwardWallet can monitor these automatically
  • Flag any segments where the departure time may have shifted (search current schedules)
  • Check for aircraft type changes (e.g., 787-9 → 737 is a significant downgrade; 777-300ER → A350 may change seat map)
  • Warn about seasonal schedule changes if the trip is far out (airlines typically publish schedules in waves)

5. Seat Assignment Check

  • If seats are listed in the reservation, verify the seat still makes sense for the aircraft type
  • Flag if an aircraft swap may have invalidated the seat assignment
  • Suggest using the seatmaps skill for detailed seat recommendations if relevant

Output Format

Present results as a per-reservation audit report:

## 🌱 Gardening Report: [Trip Name]

### [Confirmation] — [Route] on [Date]

| Check | Status | Details |
|-------|--------|---------|
| Price | 🔴 DROP | Was $2,340, now $1,890 (-$450, -19%). Rebookable via United free cancel/rebook. |
| Nearby airports | 🟡 NOTE | OAK-SYD via AKL on Air NZ: $1,780 (-$560 vs SFO). Adds 2hr travel time to OAK. |
| Better cabin | 🟢 UPGRADE | First class opened up: 110K United (vs 85K booked in J). ANA F via VA would be 72.5K. |
| Routing | ✅ OK | Current routing is optimal. |
| Schedule | ✅ OK | No changes detected. |
| Seat | ⚠️ CHECK | Aircraft changed from 787-9 to 777-300ER. Seat 6A may not exist. Verify on seatmaps. |

Summary Section

After all reservations, provide a priority action list:

## 🎯 Priority Actions

1. **REBOOK NOW** — SFO-SYD dropped $450. Free cancel/rebook on United. Save $900 for 2 passengers.
2. **CONSIDER** — ANA First opened up via Virgin Atlantic for 72.5K. Currently in J at 85K United. Better product, fewer miles, but phone booking required.
3. **VERIFY** — Aircraft swap on UA870. Check seat assignment.

When to Garden

Recommend the user gardens their reservations:

  • Immediately after booking — verify tickets issued, seats assigned, confirmation visible on operating airline
  • Monthly for trips >30 days out
  • Weekly for trips 7-30 days out
  • Daily for trips <7 days out
  • After any airline schedule change announcement (typically Mar/Apr and Sep/Oct)

Tools to Use

Invoke these in parallel for each reservation:

  • Duffel / Ignav / Google Flights / Skiplagged / Kiwi — current cash prices
  • Seats.aero — current award availability
  • LiteAPI / Trivago / Skiplagged Hotels — hotel price checks
  • AwardWallet — pull latest itineraries and detect changes automatically
  • Seatmaps — verify seat assignments after aircraft swaps

AwardWallet Integration

AwardWallet is the best automated gardening tool available:

  • It scrapes itineraries from loyalty accounts and emails
  • It detects and alerts on schedule changes, aircraft swaps, seat changes, and class of service changes
  • Recommend the user connect their accounts if not already done
  • When running this skill, always pull fresh AwardWallet data first to catch changes the user may not know about

Frequently asked questions

What does the Gardening AI skill do?

Audit and tend to existing travel reservations. Reads a user-provided reservations file, then systematically checks every booking for price drops, better cabin availability, improved routings, schedule changes, nearby airport alternatives, and award repricing opportunities. Invoke proactively on a regular cadence or when the user says "garden", "check my bookings", "audit reservations", "price drop", "better routing", "did my flight change", "tend reservations", "reservation maintenance", or "check my trips".

Why use Gardening on TypingMind?

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

Which AI models can use Gardening?

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 Gardening?

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

Is the Gardening 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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