Trip Log logo

Trip Log

Community
borski
trip-log

Save flight searches, itineraries, and booked trips to the trips/logs/ directory for future reference. OPT-IN — use when the user asks to log a trip or look up past searches, or on every search only if the user has said they want automatic logging. Also use to update status when a trip is booked or completed.

Overview

Publisherborski
Repositorytravel-hacking-toolkit
Skill nametrip-log
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 Trip Log 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/trip-log
  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/trip-log .claude/skills/trip-log
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trip Log 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 Trip Log 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 Trip Log 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.

Trip Log Skill

Save and retrieve flight searches, award analyses, and booked itineraries from trips/logs/. Past entries are a reference library — pull them when planning connected trips, checking what was already searched, or reviewing what was booked and why.

This skill is opt-in. Create entries when the user asks ("log this trip", "save this search"), or automatically only if the user has said they want every search logged. Don't append logging to searches uninvited.

File Naming

trips/logs/YYYY-MM-DD_ORIGIN-DEST_short-label.md
  • YYYY-MM-DD — date the search was run
  • ORIGIN-DEST — airport codes. Multiple destinations: SFO-NRT-HND-SFO
  • short-label — 2–4 word slug describing the trip purpose

Examples:

trips/logs/2026-08-11_SFO-CDG_paris-anniversary.md
trips/logs/2026-07-01_JFK-NRT_japan-ana-first.md
trips/logs/2026-09-02_SFO-OSL_oslo-work-trip-booked.md

Document Structure

Every trip log file uses this structure. Sections marked required must always be present. Others only when relevant.

markdown
---
date_searched: YYYY-MM-DD          # required
origin: XXX                        # required
destinations: [XXX, XXX]           # required
travel_dates: YYYY-MM-DD to YYYY-MM-DD  # required
cabin: business / premium / economy     # required
status: researched                 # required: researched | booked | completed | cancelled
booked_option: null                # fill in when booked: carrier, miles/cash, date
tags: [tag1, tag2]                 # freeform
points_at_search:                  # snapshot at search time — one key per program the user holds
  example_program: 0
---

# [Trip Title]

**Searched:** YYYY-MM-DD · **Status:** Researched
**Route:** ORIGIN → DEST1 / DEST2
**Travel window:** Month DD–DD, YYYY
**Cabin:** Business class
**Travelers:** N

---

## ✅ BOOKED (fill in when booked, delete if not)

...booking details...

---

## Search Summary

One-paragraph narrative of what was searched, why, and the headline finding.

---

## Award Options (seats.aero)

Table of award results. Note whether pricing is saver or dynamic. Note data freshness.

---

## Cash Options

Table of cash prices by destination. Source each result.

---

## Points Analysis

Effective balance table (direct + transferable). CPP math for each viable award option.
Compare against points-valuations.json floors/ceilings.

---

## Recommendation

Opinionated. One clear play, one backup. Include CPP and why.

---

## Action Items

Numbered checklist of next steps (verify on airline site, transfer points, book by date, etc.)

---

## Data Notes

Sources, freshness timestamps, caveats.

*Generated by travel-hacking-toolkit · YYYY-MM-DD*

Status Lifecycle

Update the frontmatter status field as the trip progresses:

StatusMeaning
researchedSearch run, no booking yet
bookedAward or cash ticket purchased. Fill in booked_option. Add a ## ✅ BOOKED section at the top.
completedTrip happened. Optionally add notes on actual experience.
cancelledBooking cancelled. Note refund/redeposit outcome.

Reading Past Trips

To surface relevant history, grep the trips/ directory:

bash
# Find all researched (unbooked) trips
grep -l "status: researched" trips/logs/*.md

# Find all trips from a specific origin
grep -l "origin: SFO" trips/logs/*.md

# Find trips tagged with a keyword
grep -rl "anniversary" trips/logs/

# List all trips with their status
grep -h "^status:" trips/logs/*.md

When to Create an Entry

  • When the user asks — "log this", "save this search", "add this to my trips".
  • When a booking is made and the trip is already logged — update status and add the booked section.
  • For booked itineraries that predate the log — backfill with what you know. Set status: booked or status: completed.
  • After every search, only if the user has opted in to automatic logging.

Notes

  • Files live in trips/logs/, which is gitignored — local only, never pushed upstream.
  • Snapshot the user's balances in the frontmatter at search time (from AwardWallet if configured, or whatever the user shares).
  • Do not store .env values or account numbers in trip logs.

Frequently asked questions

What does the Trip Log AI skill do?

Save flight searches, itineraries, and booked trips to the trips/logs/ directory for future reference. OPT-IN — use when the user asks to log a trip or look up past searches, or on every search only if the user has said they want automatic logging. Also use to update status when a trip is booked or completed.

Why use Trip Log on TypingMind?

Because you install it once and use it with any model. Trip Log 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 Trip Log 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/trip-log. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Trip Log?

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 Trip Log?

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

Is the Trip Log 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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