Travel Planner

Travel Planner

Overview

This skill transforms Claude into a comprehensive travel planning assistant that maintains your travel preferences and generates detailed, personalized trip plans including itineraries, budget breakdowns, packing lists, and cultural guidelines for any destination.

When to Use This Skill

Invoke this skill for travel-related tasks:

• Planning trips and creating itineraries
• Budget planning and expense tracking
• Destination research and recommendations
• Packing checklists
• Cultural etiquette and do's/don'ts
• Pre-trip preparation timelines
• Travel preference management

Input Modes

The skill supports two input modes:

Mode A: Full Description (Default)

User provides trip details inline with the skill invocation:

/travel-planner Italy, 2 weeks, 4 people, Dolomites + Tuscany + Rome

Proceed directly to Step 1 → Step 3 with available info.

Mode B: Interactive Questions

When the user provides minimal or no trip details (e.g., just "plan a trip" or "help me plan vacation"), ask focused questions one at a time. Do NOT dump a wall of questions — ask the most important one first, then follow up based on answers.

Question sequence (ask one or two at a time, adapt based on answers):

For English speakers:

1. "Where do you want to go?" (or "Any destinations in mind?")
2. "When and for how long?"
3. "How many travelers? Ages of children if any?"
4. "What's your budget range — budget, mid-range, or flexible?"
5. "What are your must-see/must-do priorities?"
6. "Where are you flying from?"

For Hebrew speakers (עברית):

1. "לאיפה אתם רוצים ללכת?" (Where do you want to go?)
2. "מתי וכמה ימים?" (When and for how long?)
3. "כמה אנשים? גילאי הילדים?" (How many travelers? Children's ages?)
4. "מה התקציב? תקציב נמוך, בינוני, או יוקרה?" (Budget level?)
5. "מה עיקרי התוכנית שלכם?" (Must-see/must-do priorities?)
6. "מאיפה אתם טסים?" (Where are you flying from?)

Apply the same sequence logic regardless of language — ask in the user's language.

Stop asking once you have enough to build a plan. Don't ask about things you can research yourself (weather, cultural tips, visa requirements).

Output Language

Generate the plan in the same language the user writes in. If the user writes in Russian, the entire plan (headings, descriptions, tips, cultural notes) should be in Russian. If Hebrew — in Hebrew. If English — in English.

The user can also explicitly request a language: "plan in Russian", "make it in Hebrew", "translate to Russian".

Language-specific rules:

• Keep place names in their original form (e.g., "Cortina d'Ampezzo", not transliterated) but add transliteration in parentheses for non-Latin scripts on first mention
• Keep airline names, hotel names, and website URLs in English/original
• Currency amounts: keep the same format (NIS/EUR) regardless of language
• Google Maps links work in any language — keep them as-is

Hebrew-specific formatting:

• Use RTL text direction for all Hebrew content
• Format numbers with Hebrew locale (e.g., 1,234.50 with RTL awareness)
• Use Hebrew date format: יום ב׳, 20 באפריל (day, date in month name)
• For currency: Display as "₪ 5,000" or "5,000 ₪" (both work with RTL)
• Israeli travel resources: Lametayel.co.il, FlyTalk.co.il, Tapuz, Israeli travel forums
• Israeli cultural notes: Consider Shabbat dates (Friday sunset - Saturday sunset), Israeli holidays, Jewish dietary laws (Kashrut)
• Hebrew translations of standard terms:
  • Budget Tier: תקציב נמוך / בינוני / יוקרה
  • All-Inclusive: הכל כלול
  • Sea Access: גישה לים
  • Pre-Trip: הכנות לטיול

Workflow

Step 1: Check for Existing Preferences

Check if travel preferences exist:

python3 scripts/travel_db.py is_initialized

If "false", proceed to Step 2 (Setup). If "true", proceed to Step 3 (Trip Planning).

Step 2: Initial Preference Collection

When no preferences exist, collect comprehensive travel information:

Travel Style & Budget:

• Budget level: budget, mid-range, luxury
• Travel pace: relaxed, moderate, packed
• Accommodation preferences: hostel, hotel, Airbnb, resort
• Travel companions: solo, couple, family, group

Interests & Activities:

• Sightseeing & landmarks
• Food & culinary experiences
• Adventure & outdoor activities
• Culture & history
• Beach & relaxation
• Nightlife & entertainment
• Shopping
• Nature & wildlife
• Photography
• Wellness & spa

Dietary & Health:

• Dietary restrictions (vegetarian, vegan, allergies)
• Accessibility needs
• Health considerations
• Fitness level

Languages & Skills:

• Languages spoken
• Travel experience level
• Comfort with adventure

Previous Travel:

• Countries/cities visited
• Favorite destinations
• Bucket list destinations

Saving Preferences:

import sys
sys.path.append('[SKILL_DIR]/scripts')
from travel_db import save_preferences

preferences = {
    "travel_style": "adventurous",
    "budget_level": "mid-range",
    "accommodation_preference": ["boutique hotels", "Airbnb"],
    "interests": ["culture", "food", "hiking", "photography"],
    "dietary_restrictions": ["vegetarian"],
    "pace_preference": "moderate",
    "travel_companions": "couple",
    "language_skills": ["English", "Spanish"],
    "previous_destinations": ["Paris", "Tokyo", "Barcelona"],
    "bucket_list": [
        {"destination": "New Zealand", "notes": "Lord of the Rings locations"},
        {"destination": "Peru", "notes": "Machu Picchu"}
    ]
}

save_preferences(preferences)

Replace [SKILL_DIR] with actual skill path.

Step 3: Create New Trip

When user wants to plan a trip, gather:

Essential Information:

1. Destination: City/country (or multiple regions for road trips)
2. Dates: Departure and return dates (or flexible date range)
3. Duration: Number of days
4. Budget: Total budget or daily budget
5. Purpose: Vacation, business, special occasion
6. Must-see/do: Specific attractions or activities
7. Origin: Home airport/city (do NOT assume TLV — ask if not stated)
8. Trip type: Single-city, multi-city, or road trip

Detect trip type from user input:

• Single destination → standard workflow (Steps 4-7)
• Multiple cities/regions → multi-destination workflow (adds Step 4b, per-region accommodation in Step 7)

Creating Trip (single destination):

from travel_db import add_trip

trip = {
    "destination": {
        "city": "Barcelona",
        "country": "Spain",
        "region": "Catalonia"
    },
    "departure_date": "2025-06-15",
    "return_date": "2025-06-22",
    "duration_days": 7,
    "budget": {
        "total": 2500,
        "currency": "USD"
    },
    "purpose": "vacation",
    "travelers": 2,
    "climate": "warm Mediterranean",
    "activities": ["sightseeing", "food tours", "beach", "architecture"],
    "accommodation": {
        "type": "boutique hotel",
        "location": "Gothic Quarter"
    }
}

trip_id = add_trip(trip, status="current")

Hebrew Example (Single Destination - Greece for Israeli family):

from travel_db import add_trip

trip = {
    "destination": {
        "city": "אתונה",  # Athens
        "country": "יוון",  # Greece
        "region": "אתיקה"  # Attica
    },
    "departure_date": "2026-08-01",
    "return_date": "2026-08-08",
    "duration_days": 7,
    "budget": {
        "total": 20000,
        "currency": "NIS"
    },
    "purpose": "חופשה משפחתית",  # family vacation
    "travelers": 4,
    "climate": "חם ים תיכוני",  # warm Mediterranean
    "activities": ["אתרים היסטוריים", "חוף ים", "אוכל", "תרבות"],
    "accommodation": {
        "type": "מלון הכל כלול עם גישה לים",  # all-inclusive hotel with sea access
        "location": "טיפוס"  # Tipsos area
    }
}

trip_id = add_trip(trip, status="current")

Creating Trip (multi-destination / road trip):

from travel_db import add_trip

trip = {
    "destination": {
        "country": "Italy",
        "segments": [
            {"region": "Dolomites", "nights": 5, "transport": "rental car", "accommodation_type": "hotel"},
            {"region": "Tuscany", "nights": 4, "transport": "rental car", "accommodation_type": "agriturismo"},
            {"region": "Florence", "nights": 2, "transport": "on foot", "accommodation_type": "hotel"},
            {"region": "Rome", "nights": 2, "transport": "on foot", "accommodation_type": "hotel"}
        ]
    },
    "transport_modes": {
        "car_rental": {"pickup": "VCE", "dropoff": "Florence", "days": 11},
        "trains": [{"from": "Florence", "to": "Rome", "type": "high-speed"}]
    },
    "flights": {
        "inbound": {"from": "TLV", "to": "VCE"},
        "outbound": {"from": "FCO", "to": "TLV"}
    },
    "departure_date": "2026-07-11",
    "return_date": "2026-07-24",
    "duration_days": 14,
    "budget": {"total": 0, "currency": "NIS"},
    "purpose": "family vacation",
    "travelers": 4,
    "climate": "warm Mediterranean / alpine",
    "activities": ["hiking", "sightseeing", "food", "culture"]
}

trip_id = add_trip(trip, status="current")

Step 4: Alternative Route Discovery

Before researching the destination in depth, search for alternative travel routes. The goal: find cheaper or more convenient ways to reach the destination.

First: Identify flight pattern from trip type:

• Round-trip (single destination): Same airport in/out → search round-trip flights
• Open-jaw (road trip / multi-city): Fly into airport A near trip START, out of airport B near trip END → search each leg separately. This is very common for road trips and often cheaper than backtracking.

Process (parameterize {origin} from user's home airport — do NOT hardcode TLV):

1. WebSearch: "airports within 500km of {first destination}" (for arrival airport candidates)
2. For open-jaw: WebSearch: "airports within 200km of {last destination}" (for departure airport candidates)
3. WebSearch: "cheapest flights from {origin_airport} to {arrival_airport} {month} {year}"
4. WebSearch: "{LCC carriers from origin} {origin_code} to {country} {month} {year}"
5. WebSearch: "{nearby airport} to {destination} transport options car train"
6. For open-jaw: WebSearch: "cheapest flights from {departure_airport} to {origin_airport} {month} {year}"

Open-Jaw Strategy (fly into A, out of B): Compare arrival airports by proximity to FIRST destination AND departure airports by proximity to LAST destination. Example for Italy road trip starting in Dolomites, ending in Rome:

• Arrival: Venice (VCE) 2h to Dolomites vs Milan (MXP) 3.5h — Venice wins
• Departure: Rome (FCO) — obvious choice, trip ends there
• Open-jaw VCE+FCO often costs similar to round-trip to either city

LCC Carrier Strategy:

• Research which LCC carriers serve the origin airport (e.g., Wizz Air, Ryanair, EasyJet, etc.)
• Always calculate total cost WITH checked bag (22kg) — LCC "base fare" is misleading
• Check secondary airports (e.g., Milan BGY vs MXP, Rome CIA vs FCO)

For each candidate route (max 4), estimate:

• Flight cost from origin (in user's home currency) — include checked bag for LCC
• Ground transport cost + time to first/last destination
• Total cost comparison

Example for Salzburg, Austria (from TLV):

• Munich (MUC): cheap flights (Wizz Air/Lufthansa), 1h40 drive, scenic route through Alps
• Vienna (VIE): more flights available (Wizz Air/Austrian), 3h train
• Ljubljana (LJU): Wizz Air direct, 3h drive through Alps — scenic but longer
• Salzburg (SZG): connecting flights only, most expensive

Select top 3 routes and save to trip data:

from travel_db import update_trip

routes = [
    {
        "id": "route_1",
        "label": "TLV -> Munich + rental car",
        "recommended": True,
        "flight_airport": "MUC",
        "ground_transport": {
            "type": "car",
            "distance_km": 145,
            "duration_min": 100,
            "estimated_cost_nis": 170
        }
    },
    # ... more routes
]

update_trip(trip_id, {"routes": routes})

Present routes to user with comparison table (use format_route_comparison_table from plan_generator.py) and your recommendation. Wait for user confirmation before proceeding.

Step 4b: Multi-Destination Transport Planning (Road Trips Only)

Skip this step for single-destination trips. For multi-region road trips:

Car Rental Logistics:

• Identify pickup airport and drop-off location (check one-way fee — same country usually free or low)
• Calculate total rental days (only for car segments, not city-only segments)
• Research ZTL / restricted traffic zones for each city on route — list them in the plan with specific warnings
• Estimate fuel + toll costs per segment
• Vehicle size: match to group size + luggage for FULL trip duration (not just car segments)

Mixed Transport Planning:

• Identify where to drop the car (train station? airport? city edge?)
• Research train options between segments (high-speed vs regional, booking sites)
• Check family discounts (e.g., Italo: children under 14 ride free with paying adult)
• Plan car return + train departure on same day with 2h+ buffer
• Research intercity transport apps (Trenitalia, Italo, SNCF, DB Navigator, etc.)

Key Distances Table: Generate a distances/drive-times table for ALL inter-segment drives. Include:

• Distance in km
• Estimated drive time
• Highway names / route
• Scenic alternatives with time penalty
• Notable stops or rest areas

Driving Warnings Section: Research and compile per-country:

• Restricted traffic zones (ZTL in Italy, LEZ in Germany/Netherlands, etc.)
• Toll systems (autostrada cards, vignettes, electronic tolls)
• Speed enforcement (fixed cameras, average speed cameras)
• Required equipment (reflective vest, warning triangle, breathalyzer in France)
• Child seat laws by age/height
• IDP requirements

Step 5: Review-Based Search (Hotels & Car Rentals)

For each viable route, search for hotels and car rentals using FORUM-FIRST approach.

Review Source Priority (forums first, aggregators second):

1. Origin-country travel forums (e.g., FlyTalk.co.il/Lametayel.co.il for Israeli travelers, MoneySavingExpert for UK, Routard for French, etc.)
2. Reddit (r/travel, r/solotravel, r/TravelHacks, origin-specific subs, destination subs)
3. Travel forums (Lonely Planet Thorn Tree, FlyerTalk, TripAdvisor forum posts)
4. Google Maps reviews (local voices, recent experiences)
5. TripAdvisor/Booking.com scores (secondary data point only)

Forum Guardrails — MANDATORY:

• Recency: Only use quotes from the last 24 months. Use filter_forum_quotes() from plan_generator.py to enforce.
• Triangulation: A claim needs 3+ independent sources to be presented as fact. Single-source opinions must be attributed ("one Redditor says...").
• Credibility scoring: Prefer posts with high upvotes/engagement. Flag accounts with no history.

Hotel Search:

Search queries (adapt forum sites to user's origin country):

• site:{origin_country_forum} "{destination}" hotel (origin-country forum in local language)
• site:reddit.com "{destination}" hotel recommendation
• site:reddit.com "{destination}" where to stay
• "{destination}" best hotel review site:tripadvisor.com/ShowTopic
• "{destination}" hotels near {target area} site:booking.com
• Check hotel direct websites for lower prices

Selection criteria (in order):

1. Proximity to target (weighted highest) - walking distance to main area
2. Forum sentiment - real quotes from Reddit/forums
3. Review scores - Booking.com 8.5+, Google Maps 4.3+, TripAdvisor 4.0+

Find 2-3 hotels per budget tier (adjust ranges to destination and traveler's currency):

• Budget: low-cost options (hostels, basic hotels, budget Airbnb)
• Mid-Range: comfortable hotels, well-reviewed Airbnb
• Premium: luxury hotels, high-end boutique properties

Also search for 1 Airbnb alternative per tier.

Car Rental Search:

Search queries (adapt forum sites to user's origin country):

• site:{origin_country_forum} "{airport/city}" car rental (origin-country forum in local language)
• site:reddit.com "{airport/city}" car rental recommendation
• site:reddit.com "{airport/city}" rent car avoid
• "{city}" car rental google maps reviews

Preference: local companies with Google Maps 4.5+ over international chains. Include: daily rate, insurance notes (CDW/SCDW coverage, excess amounts), pickup/dropoff, customer complaints.

Insurance Notes:

• CDW (Collision Damage Waiver) is essential — verify excess amount (typically EUR 800-1500)
• SCDW (Super CDW) reduces excess to zero — often worth the extra cost per day
• Check if traveler's home credit card provides rental car insurance (many premium cards do)
• IDP (International Driving Permit) required in some countries — check before departure based on traveler's license country

Booking Source Priority for Hotels:

1. Booking.com (primary for availability/pricing, 8.5+ filter)
2. Hotel direct website (check if cheaper - often 5-15% savings)
3. Airbnb (alternative option, especially families/longer stays)

Always show both Booking.com price and direct price when available.

Format hotels using format_hotel_entry and car rentals using format_car_rental_section from plan_generator.py.

Step 6: Research Destination

Use web search to gather current information:

Essential Research:

1. Entry Requirements - Visa, passport, vaccinations
2. Best Time to Visit - Weather, seasons, festivals
3. Safety Information - Travel advisories, safe areas, common scams
4. Cultural Norms - Do's and don'ts (use references/cultural_etiquette.md as guide)
5. Local Transportation - Metro, buses, taxis, apps
6. Top Attractions - Must-see places with hours and prices
7. Food Recommendations - Local specialties, popular restaurants
8. Neighborhoods - Where to stay, where to explore
9. Day Trip Options - Nearby attractions
10. Practical Info - Currency, tipping, power outlets, language

Search Topics to Cover:

• "[Destination] visa requirements for [nationality]"
• "[Destination] best time to visit weather"
• "[Destination] cultural do's and don'ts"
• "[Destination] top attractions and activities"
• "[Destination] local transportation guide"
• "[Destination] where to stay neighborhoods"
• "[Destination] food and restaurants"
• "[Destination] scams to avoid"
• "[Destination] budget guide"

Step 7: Generate Detailed Travel Plan

Generate the full report using the template in references/report_template.md.

Report structure (single-destination):

1. Route Comparison Table - Use format_route_comparison_table() at the top
2. Per-Route Sections - For each viable route:
   • Flights table (airline, route, price/pp, with bag, departure)
   • Car rental section with forum quotes - use format_car_rental_section()
   • Hotels by tier (Budget / Mid-Range / Premium) - use format_hotel_entry()
   • Airbnb alternatives
   • Driving details - use format_driving_route()
3. Day-by-Day Itinerary - Based on recommended route, using user's pace preference
4. Budget Breakdown by Tier - Use calculate_multi_tier_budget() for baselines, refine with actual web search data

from plan_generator import calculate_multi_tier_budget

tiers = calculate_multi_tier_budget(
    num_days=4,
    num_travelers=2,
    destination_region="europe"
)

5. Booking Tips Table - When to book, where, and tips
6. Cultural Do's and Don'ts - Use references/cultural_etiquette.md template
7. Pre-Trip Preparation Timeline - Use generate_pre_trip_checklist()
8. Packing Checklist - Use generate_packing_checklist()
9. Emergency & Practical Info - Numbers, embassy, currency, voltage, tipping

Additional sections for multi-destination / road trips:

1. Route Overview Table - Segment | Nights | Transport | Highlights (at the very top)
2. Flights Section - Separate tables for inbound and outbound legs (open-jaw)
3. Car Rental Section - Pickup/drop-off locations, one-way fee, vehicle size for group
4. Per-Region Accommodation - Separate hotel/accommodation section per segment/region, since costs and styles vary dramatically (e.g., mountain hotel vs agriturismo vs city hotel)
5. Key Distances & Drive Times Table - All inter-segment driving distances, times, roads, and scenic alternatives
6. Driving Warnings - ZTL zones, toll systems, speed limits, required equipment, child seat laws
7. Mixed Transport Section - Car drop-off logistics, train bookings, family discounts, city transport
8. Day-by-Day Itinerary - Must include driving days as dedicated entries with stops, distances, and realistic arrival times
9. Budget Breakdown by Tier - Use calculate_multi_region_budget() for per-segment accommodation costs:

from plan_generator import calculate_multi_region_budget

tiers = calculate_multi_region_budget(
    segments=[
        {"region_name": "Dolomites", "nights": 5, "accommodation_multiplier": 1.3},
        {"region_name": "Tuscany", "nights": 4, "accommodation_multiplier": 0.9},
        {"region_name": "Florence", "nights": 2, "accommodation_multiplier": 1.1},
        {"region_name": "Rome", "nights": 2, "accommodation_multiplier": 1.0},
    ],
    num_travelers=4,
    destination_region="europe"
)

Pricing rules:

• All prices in user's home currency first, destination currency in parentheses
• Show per-person AND total amounts
• Include rate date for currency conversions

Itinerary rules:

• Based on recommended route
• Logical geographic grouping
• Realistic timing with buffers (especially on driving/transit days)
• Mix of activity types
• Meal suggestions with local prices
• Transportation details between activities
• Driving days: include distance, time, suggested stops, and arrival time estimates

Step 8: Track Trip and Budget

During the trip, track expenses:

from travel_db import add_expense

expense = {
    "category": "food",
    "amount": 45.00,
    "currency": "NIS",
    "description": "Dinner at Cerveceria Catalana",
    "date": "2026-06-16"
}

add_expense(trip_id, expense)

View budget status:

from travel_db import get_budget_summary

summary = get_budget_summary(trip_id)
# Shows: total_budget, spent, remaining, percentage_used, by_category

Step 9: Post-Trip Updates

After trip, move to past trips and update:

from travel_db import move_trip_to_past, add_previous_destination

move_trip_to_past(trip_id)
add_previous_destination("Salzburg, Austria")

Best Practices

1. Forum-First Research - Reddit/forum quotes over aggregator scores
2. Home-Currency-First Pricing - All amounts in traveler's home currency first, destination currency in parentheses
3. Route Comparison - Always check nearby airports before booking direct. For road trips, check open-jaw flights (fly into A, out of B)
4. 3 Budget Tiers - Present Budget / Mid-Range / Premium options
5. Direct Booking - Check hotel direct sites for savings vs Booking.com
6. Be Realistic - Don't over-schedule; allow for rest and spontaneity
7. Book Ahead - Popular attractions sell out, especially in peak season
8. Cultural Respect - Research and follow local customs
9. Safety First - Check travel advisories, register with embassy

Technical Notes

Data Storage:

• Preferences: ~/.claude/travel_planner/preferences.json
• Trips: ~/.claude/travel_planner/trips.json

CLI Commands:

# Check initialization
python3 scripts/travel_db.py is_initialized

# View data
python3 scripts/travel_db.py get_preferences
python3 scripts/travel_db.py get_trips current
python3 scripts/travel_db.py stats

# Generate plan
python3 scripts/plan_generator.py --trip-id <id> --output plan.json

# Export backup
python3 scripts/travel_db.py export > backup.json

Resources

scripts/travel_db.py

Database management for preferences, trips, budget tracking, itineraries, and travel statistics. Stores routes, budget tiers, and currency data alongside trip info.

scripts/plan_generator.py

Generates itineraries, multi-tier budgets, route comparison tables, forum-first hotel entries, car rental sections, driving routes, packing checklists, and preparation timelines. Includes filter_forum_quotes() for enforcing recency guardrails on forum data.

references/travel_guidelines.md

Comprehensive guide for destination research, budget planning, itinerary creation, packing strategies, and safety tips.

references/cultural_etiquette.md

Templates and guidelines for researching country-specific customs, dress codes, dining etiquette, religious considerations, and common mistakes to avoid.

scripts/export_to_sheets.py

Exports a generated plan markdown file to a formatted Excel (.xlsx) file that can be uploaded to Google Sheets. Color-coded sections, hyperlinks preserved, alternating row colors. Usage: python3 scripts/export_to_sheets.py [input.md] [output.xlsx]

references/report_template.md

Full markdown template for the Smart Route Optimizer report format with route comparison, per-route sections, budget tiers, and booking tips.

Hebrew & Israeli Localization

Hebrew-specific data sources:

• Israeli Travel Forums: Lametayel.co.il, FlyTalk.co.il, Tapuz (for Israeli traveler reviews and recommendations)
• Hebrew Search Queries: Adapt all forum searches to Hebrew:
  • site:lametayel.co.il "יוון" מלון
  • site:flytalk.co.il "אתונה" מלון מומלץ
• Shabbat & Holidays: When generating itineraries for any date range, note Jewish holidays and Shabbat dates (Friday sunset - Saturday sunset)
  • Example: August 2026 may overlap with Jewish High Holidays — restaurants may have limited hours, some businesses closed
  • Always include Shabbat considerations in itinerary planning
• Hebrew Currency Display: Always show ₪ (sheqel) or NIS; format as "₪ 5,000" or "5,000 ₪"
• Hebrew Date Format: Use "יום [name], [date] ב[month]" (e.g., "יום ראשון, 1 באוגוסט")
• Israeli Dietary Laws: When researching restaurants, note Kashrut (כשרות) status and vegetarian options
• Family Travel Notes: Israeli families often travel in August (summer break) — book accommodations early, expect higher prices

Hebrew CLI Example:

# View trip in Hebrew context
python3 scripts/travel_db.py get_trips current

# Export plan with Hebrew locale (if supported)
python3 scripts/plan_generator.py --trip-id <id> --output plan_he.md --locale he_IL

Hebrew Terminology Reference: