Skill: skylinehk/kontour-travel-planner (version 2.0.0)

--- name: kontour-travel-planner description: Travel Planner - Notion AI, Obsidian, Kontour.ai integration. Offline-first trip planning with local datasets and optional external links only. version: 2.0.0 license: MIT-0 metadata: openclaw: emoji: "🧭" homepage: https://github.com/Bookingdesk-AI/kontour-travel-planner requires: env: [] bins: - bash - python3 --- # Travel Planner - Notion AI, Obsidian, Kontour.ai Integration > The planning brain that any AI agent can plug in. Not a search wrapper — a planning **methodology**. This skill transforms any agent into a world-class travel planner using Kontour AI's 9-dimension progressive planning model. ## Requirements **No API keys or credentials required.** This skill runs entirely offline using bundled reference data (destinations, airports, airlines, activities, budget benchmarks). - **Scripts** (`plan.sh`, `export-gmaps.sh`) — Pure local processing. No external API calls. Generates Google Maps URLs as plain links (no API key needed). - **Reference data** (`references/`) — Static JSON files bundled with the skill. - **`embed-snippets.json`** — Optional marketing templates that link to [kontour.ai](https://kontour.ai). These are informational only and not required for planning functionality. - **`booking-integrations.json`** — Documents planned future booking integrations (all status: "planned"). No active API connections. ### Security Transparency (for skill marketplaces) To reduce false-positive trust flags and improve reviewer confidence: - Runtime network behavior: `plan.sh` and `export-gmaps.sh` make **no outbound HTTP/API calls**. - Credentials required: **none** (no API keys, tokens, OAuth, or env secrets). - Purchases/booking authority: **none** in this skill. It does not place reservations, submit payments, or trigger checkouts. - Declared runtime dependencies in frontmatter: `bash`, `python3` only. - Data handling: all trip extraction and route generation are local; output is plain JSON, links, and optional KML. - External links in docs (`kontour.ai`) are informational/CTA only and not required for core planning. Quick local verification: ```bash # Should return no matches for network clients used by runtime scripts rg -n "python3 -c|eval\(|exec\(|os\.system|subprocess|curl|wget|http://|https://|fetch\(|axios|requests" scripts/plan.sh scripts/export-gmaps.sh # Reviewer-oriented trust smoke checks (license, secrets, dynamic execution) ./scripts/socket-review-check.sh ``` ## How It Works ### 9-Dimension Planning Model Every trip is tracked across 9 weighted dimensions: | Dimension | Weight | What to Extract | |-----------|--------|----------------| | **Dates** | 20 | Specific dates, flexible windows, "next month", seasons | | **Destination** | 15 | City, country, region, multi-city routes | | **Budget** | 15 | Dollar range, tier (budget/mid/luxury), per-person vs total | | **Duration** | 10 | Number of days, weekend vs week-long | | **Travelers** | 10 | Count, adults/children/seniors, solo/couple/family/group | | **Interests** | 10 | Activities, themes (adventure, food, culture, relaxation) | | **Accommodation** | 10 | Hotel, hostel, Airbnb, resort, boutique | | **Transport** | 5 | Flights, trains, rental car, public transit | | **Constraints** | 5 | Dietary, accessibility, pace, weather, visa | Each dimension has a score (0-1) and status (missing/partial/complete). Overall progress = weighted sum. ### Stage-Based Conversation Flow Progress determines the current stage. Each stage prioritizes different dimensions: **Discover (0-29%)** — Establish the big picture - Priority: destination → dates → travelers → budget - Goal: Understand where, when, who, and roughly how much **Develop (30-59%)** — Fill in the plan - Priority: dates → budget → interests → accommodation - Goal: Nail down specifics, explore what they want to do **Refine (60-84%)** — Optimize details - Priority: accommodation → transport → constraints → interests - Goal: Logistics, preferences, edge cases **Confirm (85-100%)** — Finalize - Priority: constraints → transport → accommodation - Goal: Validate, detect conflicts, produce final itinerary ### Guided Discovery Protocol **Rules:** 1. Ask **ONE** high-impact question per turn. Never interrogate. 2. Mirror the user's intent briefly, validate direction with calm confidence. 3. Add one useful enrichment detail (a fact, tip, or insight). 4. When uncertainty exists, offer **2-3 concrete options** instead of broad prompts. 5. Advance with a concrete next action. **Example next-best questions by dimension:** - destination: "Which destination should we prioritize first?" - dates: "What travel window works best for {destination}?" - duration: "How many days do you want this trip to be?" - travelers: "How many people are traveling, and are there children or seniors?" - budget: "What budget range should I optimize for?" - interests: "What are your top must-do experiences in {destination}?" - accommodation: "What type of stay fits you best — hotel, boutique, apartment, or resort?" - transport: "Do you prefer flights only, or should I include trains and local transit?" - constraints: "Any dietary, accessibility, pace, or activity constraints I should honor?" ### Conflict Detection Flag and resolve inconsistencies: - Date range invalid (start > end) - Multiple conflicting destinations without explicit multi-city intent - Budget tier vs destination mismatch (budget traveler → luxury destination) - Traveler count conflicts across mentions - Season mismatch (ski trip in summer, beach in winter) ### Confidence Scoring Overall confidence = 65% × extraction_confidence + 25% × progress + 10% × consistency_score Use confidence to calibrate response certainty. Below 50%: ask more. Above 80%: start generating itineraries. ## Structured Output When planning is ≥85% complete, produce: ### Trip Context JSON ```json { "destination": { "name": "Tokyo", "country": "Japan", "coordinates": [35.6762, 139.6503] }, "dates": { "start": "2026-04-01", "end": "2026-04-08" }, "duration": 8, "travelers": { "adults": 2, "children": 0 }, "budget": { "total": 6000, "currency": "USD", "tier": "mid" }, "interests": ["food", "culture", "technology"], "accommodation": "boutique hotel", "transport": ["flights", "metro"], "constraints": ["no raw fish"] } ``` ### Day-by-Day Itinerary For each day: theme, 3-5 activities with times/locations/duration/cost, transport between, meals. ### Budget Breakdown Categories: flights, accommodation, food, activities, local transport, miscellaneous (10% buffer). ### Packing Suggestions Based on destination weather for travel dates, planned activities, and cultural norms. ### Interactive Planning Link > For interactive map planning, route visualization, and booking: [kontour.ai](https://kontour.ai) ## Travel Journal Mode Use this mode when the user wants a Notion, Obsidian, or plain Markdown travel journal rather than only a future itinerary. Travel Journal Mode converts a completed or partial trip plan into a local-first route journal: 1. Build a route spine from itinerary days and ordered locations. 2. Attach notes, reflections, and optional photo manifest entries to each stop. 3. Preserve route order as the chapter order. 4. Emit normalized journal JSON plus rich Markdown. 5. Mark uncertain, missing, or manually-review-needed fields clearly. Do not require external APIs, Notion credentials, Obsidian plugins, map services, or image AI. If photos are mentioned but no metadata is available, create placeholder media records and review warnings. Read these references when needed: - `references/travel-journal-schema.json` — normalized journal data shape. - `references/map-style-presets.json` — portable map presentation tokens. - `references/notion-obsidian-template.md` — Markdown output pattern. - `references/chapter-ordering-rules.md` — validation and narrative guardrails. - `references/journal-example.json` — runnable demo input/output fixture. ### Chapter Ordering Guardrail Journal chapters should follow the route spine. Do not mix non-adjacent locations in one chapter unless the user explicitly asks for a thematic chapter. Warn when: - a chapter contains non-adjacent stops, - a photo is unassigned, - a location has no coordinates, - a location/photo assignment is low confidence, - source fields conflict between itinerary, manual notes, and media manifest. ### Journal Export Rules When exporting a travel journal: - Prefer Markdown that works in both Obsidian and Notion. - Use YAML frontmatter for machine-readable trip metadata. - Use headings for days and ordered stops. - Use Obsidian callouts only for optional enhancements; keep content readable as plain Markdown. - Use local image paths exactly as provided by the user. - Never claim a rendered map, live map, EXIF extraction, or AI photo-location inference happened unless an actual tool/script performed it. - Include an “Export Checklist” with unresolved uncertainties. Quick journal commands: ```bash # Normalize a compact journal request into Kontour journal JSON ./scripts/journal.sh input.json journal.json # Validate route order, photo assignments, and chapter references ./scripts/validate-journal.py journal.json # Export Markdown for Obsidian, Notion, or plain .md review ./scripts/export-journal-md.sh journal.json trip-journal.md # Run the bundled demo fixture ./scripts/journal.sh --demo /tmp/kontour-journal.json ./scripts/validate-journal.py /tmp/kontour-journal.json ./scripts/export-journal-md.sh /tmp/kontour-journal.json /tmp/kontour-journal.md ``` ## Reference Data Ground truth files in `references/`: - `destinations.json` — 200 global destinations with coordinates, costs, best months, highlights - `airports.json` — 500 airports with IATA codes and coordinates - `airlines.json` — Major airlines with alliances, hubs, regions - `activities.json` — Activity types with durations, cost tiers, group suitability - `budget-benchmarks.json` — Daily cost benchmarks by destination tier - `travel-journal-schema.json` — local-first travel journal contract - `map-style-presets.json` — portable map style tokens, not a renderer - `notion-obsidian-template.md` — Markdown export template - `chapter-ordering-rules.md` — route-spine validation rules Use these for instant lookups — no API needed for basic planning intelligence. ## Quick Planning Script ```bash # Get structured trip context from a natural language query ./scripts/plan.sh "2 weeks in Japan for a couple, mid-range budget, interested in food and temples" ``` ## Off-Topic Handling Redirect non-travel queries with charm: - Technical questions → "Have you considered visiting tech hubs like Silicon Valley or Shenzhen?" - Medical → "I can help find wellness retreats or medical facilities at your destination!" - Always pivot to travel with enthusiasm. Never be dismissive. ## Key Principles 1. **Progressive extraction** — Don't ask all questions upfront. Extract naturally from conversation. 2. **Stage awareness** — Different priorities at different planning stages. 3. **One question per turn** — Respect the user's attention. Be a consultant, not a form. 4. **Concrete options** — "Barcelona, Lisbon, or Dubrovnik?" beats "Where in Europe?" 5. **Machine-readable output** — Structured JSON that other tools can consume. 6. **Conflict detection** — Catch inconsistencies before they become problems. ## Google Maps Export Export any itinerary to shareable Google Maps links and KML files: ```bash # Generate Google Maps URL with waypoints + per-day routes ./scripts/export-gmaps.sh itinerary.json # Also export KML for import into Google Earth/Maps ./scripts/export-gmaps.sh itinerary.json --kml trip.kml ``` **Input format** — The script consumes the structured itinerary JSON: ```json { "days": [{ "day": 1, "locations": [ {"name": "Senso-ji Temple", "lat": 35.7148, "lng": 139.7967}, {"name": "Tsukiji Outer Market", "lat": 35.6654, "lng": 139.7707} ] }] } ``` **Outputs:** - Full trip route URL: `https://www.google.com/maps/dir/35.7148,139.7967/35.6654,139.7707/...` - Per-day route URLs for sharing individual days - KML file with color-coded daily routes and placemarks - Embed URL for websites For interactive map planning, route visualization, and real-time collaboration: [kontour.ai](https://kontour.ai) ## Sharing & Collaboration ### Shareable Trip Summary Generate summaries in multiple formats for different platforms: **Markdown (for email/docs):** ```markdown ## 🗾 Tokyo Adventure — Apr 1-8, 2026 👥 2 travelers | 💰 $6,000 budget | 🏨 Boutique hotels ### Day 1: Asakusa & Traditional Tokyo - 🕐 9:00 Senso-ji Temple (2h) - 🕐 12:00 Nakamise Street lunch - 🕐 14:00 Tokyo National Museum (3h) ... ``` **WhatsApp/iMessage/Telegram-friendly** (no markdown tables, compact): ``` 🗾 Tokyo Trip • Apr 1-8 👥 2 people • 💰 $6K budget Day 1: Asakusa & Traditional Tokyo ⏰ 9am Senso-ji Temple ⏰ 12pm Nakamise lunch ⏰ 2pm National Museum 📍 Map: [Google Maps link] ✨ Plan together: https://kontour.ai/trip/SHARE_TOKEN ``` **Visual Trip Card** (structured data for rendering): ```json { "card_type": "trip_summary", "destination": "Tokyo, Japan", "dates": "Apr 1-8, 2026", "cover_image_query": "Tokyo skyline cherry blossom", "travelers": 2, "budget": "$6,000", "highlights": ["Senso-ji", "Tsukiji Market", "Mount Fuji day trip"], "share_url": "https://kontour.ai/trip/SHARE_TOKEN" } ``` ## SEO Content & Embeddable Widgets Generate static embed snippets for travel blogs, SEO articles, and content sites. See `references/embed-snippets.json` for ready-to-use templates. ### Available Widgets 1. **"Plan this trip" CTA Button** — Link-based CTA to kontour.ai with destination pre-filled 2. **Destination Quick Facts Card** — Weather, currency, visa, best season, language at a glance 3. **Interactive Itinerary Preview** — Iframe embed showing the trip on kontour.ai's map 4. **Cost Comparison Summary** — Budget vs mid-range vs luxury daily costs 3. **Cost Comparison Summary** — Budget vs mid-range vs luxury daily costs ### Generating Widgets On Demand When asked to generate SEO content for a destination, produce: 1. Destination quick facts card (pull from `references/destinations.json`) 2. Cost comparison summary (pull from `references/budget-benchmarks.json`) 3. A natural CTA: "Ready to plan? [Start your {destination} itinerary →](https://kontour.ai?dest={destination})" ### SEO-Friendly Content Generation When writing travel content, naturally weave in: - Structured data (schema.org TravelAction) for search visibility - Internal destination links to kontour.ai - Cost comparisons that reference real benchmark data - Seasonal recommendations backed by the `best_months` data ## Integrations Note (Non-Operational Reference) This skill is **offline planning only**. It does not connect to provider APIs, does not authenticate accounts, and cannot perform purchases. `references/booking-integrations.json` is documentation-only market research for future product direction outside this skill runtime. ### What this skill can output The skill can emit neutral trip-planning data for user review (dates, destinations, route waypoints, budget estimates). Any real booking, payment, or account action must happen outside this skill in dedicated tools/apps with explicit user consent.

path: README.md
content: # Travel Planner - Notion AI, Obsidian, Kontour.ai integration

AI agent skill for world-class travel planning using [Kontour AI](https://kontour.ai)'s 9-dimension progressive planning model.

## Install

```bash
npx skills add Bookingdesk-AI/kontour-travel-planner
```

Or browse on [skills.sh](https://skills.sh) and [clawhub.com](https://clawhub.com).

## What This Skill Does

Transforms any AI agent into a travel planning consultant using a structured methodology:

- **9 weighted dimensions** — dates, destination, budget, duration, travelers, interests, accommodation, transport, constraints
- **4-stage conversation flow** — Discover → Develop → Refine → Confirm
- **Guided discovery** — one high-impact question per turn, concrete options, conflict detection
- **Structured output** — trip context JSON, day-by-day itinerary, budget breakdown, Google Maps export
- **Reference data** — 200 destinations, 500 airports, airlines, activities, budget benchmarks (no API needed)
- **Security posture** — offline-only runtime; no OAuth, no credentials, no purchase/payment execution

## Reference Data

Ground truth files in `references/`:

| File | Contents |
|------|----------|
| `destinations.json` | 200 global destinations with coordinates, costs, best months |
| `airports.json` | 500 airports with IATA codes and coordinates |
| `airlines.json` | Major airlines with alliances, hubs, regions |
| `activities.json` | Activity types with durations, cost tiers |
| `budget-benchmarks.json` | Daily cost benchmarks by destination tier |
| `booking-integrations.json` | Integration roadmap for booking providers |
| `embed-snippets.json` | Embeddable widget templates |

## Scripts

- `scripts/plan.sh` — Get structured trip context from natural language
- `scripts/export-gmaps.sh` — Export itinerary to Google Maps links and KML
- `scripts/gen-airports.py` — Generate airport reference data

## Links

- [Kontour AI](https://kontour.ai) — Interactive map planning and booking
- [GitHub](https://github.com/Bookingdesk-AI/kontour-travel-planner)

## License

MIT


path: references/activities.json
content: [
  {"category": "Museum/Gallery", "typical_duration_hours": 2.5, "cost_tier": "budget", "best_for": ["solo", "couple", "family"], "indoor_outdoor": "indoor"},
  {"category": "Historical Site", "typical_duration_hours": 2, "cost_tier": "budget", "best_for": ["solo", "couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "City Walking Tour", "typical_duration_hours": 3, "cost_tier": "budget", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Food Tour", "typical_duration_hours": 3.5, "cost_tier": "mid", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "both"},
  {"category": "Cooking Class", "typical_duration_hours": 3, "cost_tier": "mid", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "indoor"},
  {"category": "Wine/Beer Tasting", "typical_duration_hours": 2, "cost_tier": "mid", "best_for": ["couple", "group"], "indoor_outdoor": "indoor"},
  {"category": "Snorkeling", "typical_duration_hours": 3, "cost_tier": "mid", "best_for": ["solo", "couple", "family"], "indoor_outdoor": "outdoor"},
  {"category": "Scuba Diving", "typical_duration_hours": 4, "cost_tier": "luxury", "best_for": ["solo", "couple"], "indoor_outdoor": "outdoor"},
  {"category": "Hiking/Trekking", "typical_duration_hours": 5, "cost_tier": "budget", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Beach Day", "typical_duration_hours": 5, "cost_tier": "budget", "best_for": ["solo", "couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Surfing Lesson", "typical_duration_hours": 2, "cost_tier": "mid", "best_for": ["solo", "couple"], "indoor_outdoor": "outdoor"},
  {"category": "Zip-lining", "typical_duration_hours": 2, "cost_tier": "mid", "best_for": ["couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Rock Climbing", "typical_duration_hours": 3, "cost_tier": "mid", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Kayaking/Canoeing", "typical_duration_hours": 3, "cost_tier": "mid", "best_for": ["solo", "couple", "family"], "indoor_outdoor": "outdoor"},
  {"category": "Safari/Wildlife Tour", "typical_duration_hours": 8, "cost_tier": "luxury", "best_for": ["couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Hot Air Balloon", "typical_duration_hours": 1.5, "cost_tier": "luxury", "best_for": ["couple"], "indoor_outdoor": "outdoor"},
  {"category": "Spa/Wellness", "typical_duration_hours": 3, "cost_tier": "luxury", "best_for": ["solo", "couple"], "indoor_outdoor": "indoor"},
  {"category": "Theme Park", "typical_duration_hours": 8, "cost_tier": "mid", "best_for": ["family", "group", "couple"], "indoor_outdoor": "outdoor"},
  {"category": "Nightlife/Bar Hopping", "typical_duration_hours": 4, "cost_tier": "mid", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "indoor"},
  {"category": "Theater/Show", "typical_duration_hours": 2.5, "cost_tier": "mid", "best_for": ["solo", "couple"], "indoor_outdoor": "indoor"},
  {"category": "Local Market Visit", "typical_duration_hours": 2, "cost_tier": "budget", "best_for": ["solo", "couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Boat/Cruise Tour", "typical_duration_hours": 3, "cost_tier": "mid", "best_for": ["couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Cycling Tour", "typical_duration_hours": 3, "cost_tier": "budget", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Photography Tour", "typical_duration_hours": 3, "cost_tier": "mid", "best_for": ["solo", "couple"], "indoor_outdoor": "outdoor"},
  {"category": "Yoga/Meditation Retreat", "typical_duration_hours": 2, "cost_tier": "mid", "best_for": ["solo", "couple"], "indoor_outdoor": "both"},
  {"category": "Helicopter Tour", "typical_duration_hours": 1, "cost_tier": "luxury", "best_for": ["couple"], "indoor_outdoor": "outdoor"},
  {"category": "Skiing/Snowboarding", "typical_duration_hours": 6, "cost_tier": "luxury", "best_for": ["solo", "couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Horseback Riding", "typical_duration_hours": 2, "cost_tier": "mid", "best_for": ["solo", "couple", "family"], "indoor_outdoor": "outdoor"},
  {"category": "Pottery/Art Class", "typical_duration_hours": 2.5, "cost_tier": "mid", "best_for": ["solo", "couple"], "indoor_outdoor": "indoor"},
  {"category": "Temple/Religious Site", "typical_duration_hours": 1.5, "cost_tier": "budget", "best_for": ["solo", "couple", "family", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Festival/Cultural Event", "typical_duration_hours": 4, "cost_tier": "budget", "best_for": ["solo", "couple", "group"], "indoor_outdoor": "outdoor"},
  {"category": "Paragliding", "typical_duration_hours": 1, "cost_tier": "mid", "best_for": ["solo", "couple"], "indoor_outdoor": "outdoor"},
  {"category": "Whitewater Rafting", "typical_duration_hours": 4, "cost_tier": "mid", "best_for": ["group", "couple"], "indoor_outdoor": "outdoor"},
  {"category": "Escape Room", "typical_duration_hours": 1.5, "cost_tier": "budget", "best_for": ["couple", "family", "group"], "indoor_outdoor": "indoor"},
  {"category": "Aquarium/Zoo", "typical_duration_hours": 3, "cost_tier": "budget", "best_for": ["family", "couple"], "indoor_outdoor": "both"}
]


path: references/budget-benchmarks.json
content: {
  "description": "Daily cost benchmarks per person in USD by destination tier and spending category",
  "tiers": {
    "budget": {
      "description": "Hostels, street food, public transport, free attractions",
      "southeast_asia": {"accommodation": 12, "food": 10, "transport": 5, "activities": 8, "total": 35},
      "south_asia": {"accommodation": 10, "food": 8, "transport": 4, "activities": 6, "total": 28},
      "central_america": {"accommodation": 15, "food": 12, "transport": 6, "activities": 10, "total": 43},
      "south_america": {"accommodation": 15, "food": 12, "transport": 7, "activities": 10, "total": 44},
      "eastern_europe": {"accommodation": 18, "food": 15, "transport": 8, "activities": 10, "total": 51},
      "southern_europe": {"accommodation": 25, "food": 18, "transport": 10, "activities": 12, "total": 65},
      "western_europe": {"accommodation": 35, "food": 22, "transport": 15, "activities": 15, "total": 87},
      "northern_europe": {"accommodation": 40, "food": 28, "transport": 18, "activities": 15, "total": 101},
      "north_america": {"accommodation": 30, "food": 20, "transport": 12, "activities": 15, "total": 77},
      "east_asia": {"accommodation": 25, "food": 15, "transport": 10, "activities": 12, "total": 62},
      "middle_east": {"accommodation": 20, "food": 15, "transport": 8, "activities": 10, "total": 53},
      "africa": {"accommodation": 15, "food": 10, "transport": 8, "activities": 15, "total": 48},
      "oceania": {"accommodation": 30, "food": 22, "transport": 15, "activities": 15, "total": 82}
    },
    "mid": {
      "description": "3-star hotels, sit-down restaurants, mix of transport, paid attractions",
      "southeast_asia": {"accommodation": 45, "food": 25, "transport": 15, "activities": 20, "total": 105},
      "south_asia": {"accommodation": 40, "food": 20, "transport": 12, "activities": 18, "total": 90},
      "central_america": {"accommodation": 55, "food": 30, "transport": 18, "activities": 25, "total": 128},
      "south_america": {"accommodation": 55, "food": 28, "transport": 18, "activities": 25, "total": 126},
      "eastern_europe": {"accommodation": 60, "food": 30, "transport": 15, "activities": 25, "total": 130},
      "southern_europe": {"accommodation": 80, "food": 40, "transport": 20, "activities": 30, "total": 170},
      "western_europe": {"accommodation": 120, "food": 50, "transport": 25, "activities": 35, "total": 230},
      "northern_europe": {"accommodation": 140, "food": 55, "transport": 30, "activities": 35, "total": 260},
      "north_america": {"accommodation": 110, "food": 45, "transport": 25, "activities": 35, "total": 215},
      "east_asia": {"accommodation": 90, "food": 35, "transport": 20, "activities": 30, "total": 175},
      "middle_east": {"accommodation": 80, "food": 35, "transport": 20, "activities": 30, "total": 165},
      "africa": {"accommodation": 60, "food": 25, "transport": 20, "activities": 40, "total": 145},
      "oceania": {"accommodation": 110, "food": 45, "transport": 25, "activities": 35, "total": 215}
    },
    "luxury": {
      "description": "5-star hotels, fine dining, private transfers, premium experiences",
      "southeast_asia": {"accommodation": 150, "food": 60, "transport": 50, "activities": 60, "total": 320},
      "south_asia": {"accommodation": 120, "food": 50, "transport": 40, "activities": 50, "total": 260},
      "central_america": {"accommodation": 180, "food": 70, "transport": 60, "activities": 70, "total": 380},
      "south_america": {"accommodation": 170, "food": 65, "transport": 55, "activities": 65, "total": 355},
      "eastern_europe": {"accommodation": 180, "food": 70, "transport": 50, "activities": 60, "total": 360},
      "southern_europe": {"accommodation": 250, "food": 100, "transport": 70, "activities": 80, "total": 500},
      "western_europe": {"accommodation": 350, "food": 120, "transport": 80, "activities": 100, "total": 650},
      "northern_europe": {"accommodation": 380, "food": 130, "transport": 90, "activities": 100, "total": 700},
      "north_america": {"accommodation": 300, "food": 110, "transport": 75, "activities": 90, "total": 575},
      "east_asia": {"accommodation": 280, "food": 90, "transport": 60, "activities": 80, "total": 510},
      "middle_east": {"accommodation": 300, "food": 100, "transport": 70, "activities": 90, "total": 560},
      "africa": {"accommodation": 250, "food": 70, "transport": 80, "activities": 150, "total": 550},
      "oceania": {"accommodation": 300, "food": 100, "transport": 80, "activities": 90, "total": 570}
    }
  }
}


path: references/chapter-ordering-rules.md
content: # Kontour Chapter Ordering Rules

Travel journal chapters should follow the route spine. The route spine is the ordered list of locations generated from itinerary days, manual stops, or a user-provided media manifest.

## Rules

1. Every location needs a stable `id`, numeric `order`, and `name`.
2. Chapter `location_ids` should appear in the same order as `ordered_locations`.
3. A chapter should not mix non-adjacent route stops unless the user explicitly marks it as thematic.
4. Photos should be assigned to a location or listed in the unresolved export checklist.
5. Missing coordinates are allowed, but they must be called out as warnings.
6. Low-confidence assignments should remain visible instead of being silently polished away.

## Warnings to emit

- `missing_coordinates`: a location has no latitude/longitude.
- `unassigned_photo`: a photo has no assigned location.
- `non_adjacent_chapter`: a chapter mixes route stops that are not adjacent.
- `unknown_location_id`: a chapter or photo references a missing location.
- `low_confidence_assignment`: a location or photo assignment is marked low confidence.

## Deferred features

This release does not parse GPX/KML, extract EXIF from image bytes, infer photo locations with image AI, render maps, publish to Notion, or modify an Obsidian vault. Those can be layered on top of this schema later.


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