Skip to content

Repository files navigation

TourMind Booking Skills
Let Your Agent Book Hotels Worldwide

TourMind Booking Skills — Get Your Token

Bring Your Customers Into Intelligent Travel


Product Page | Live Demo | Company

ClawHub installs Release License



Turn any AI agent into an end-to-end hotel booking assistant—search global inventory, compare live rates across leading OTAs and hotel suppliers, verify availability, and complete booking, payment, cancellation, and order management in one conversation with TourMind.

Demo

1. Search live hotels

2. Compare real room options

3. Verify the final rate and pay

Core capabilities

  • Resolve cities, hotels, landmarks, stations, addresses, ski areas, and other POIs without inventing coordinates.
  • Search up to 20 hotel candidates, query matching live room products, and select the five best verified options.
  • Compare live nightly and stay-total rates across leading OTAs and hotel suppliers, including cancellation and inventory status.
  • Return hotel and room images, facilities, beds, meals, fees, and evidence-based match reasons.
  • Recheck the selected room's price and availability before booking.
  • Create bookings, query and cancel orders, and start Stripe, WeChat Pay, or Alipay payments.
  • Provide expiring, repeatable, read-only result links without exposing the Skill Token.

Supported AI clients

Client Support
WorkBuddy Install or import this repository as a user Skill
OpenAI Codex Install from the Skills interface or a supported local skills directory
Claude Code Install as a personal Skill under ~/.claude/skills
Agent Skills-compatible clients Compatible when the client can load a root SKILL.md and make outbound HTTPS POST requests
MCP-capable AI clients Use the companion TourMind Booking MCP package

Install in 1 minute

  1. Generate a Skill Token at tourmind.com/user/skill-token.

  2. In your AI client's Skills interface, install or import this GitHub repository:

    https://github.com/tourmind-com/Tourmind-Booking-Skills.git
    

    If your client installs Skills from the filesystem, clone the repository into its personal skills directory:

    CLIENT_SKILLS_DIR="<your-client-skills-directory>"
    mkdir -p "$CLIENT_SKILLS_DIR"
    git clone https://github.com/tourmind-com/Tourmind-Booking-Skills.git "$CLIENT_SKILLS_DIR/tourmind-booking"

    Common personal Skill locations:

    Client Directory
    WorkBuddy ~/.workbuddy/skills
    OpenAI Codex Use the Skills interface or the local directory supported by your Codex version
    Claude Code ~/.claude/skills
  3. In the installed tourmind-booking folder, create skill_token.txt and paste only the raw Token into it. On macOS or Linux, restrict access:

    chmod 600 skill_token.txt

Reload Skills or restart the AI client, then ask for a hotel. No local MCP server is required; this Skill calls the TourMind API directly over HTTPS.

Never commit skill_token.txt. It is excluded by .gitignore.

Example prompts

These examples combine the agent's own research and itinerary-planning abilities with TourMind's live hotel search, rate verification, booking, payment, and order-management workflow.

I’m planning a four-night trip for two to Osaka (Japan) from April 9 to April 13, 2027, flying in and out of Kansai International Airport. We want one or two days of sea fishing around Osaka Bay or Awaji Island and will not rent a car. First use your own web research and itinerary-planning abilities to compare practical fishing areas, seasonal considerations, licensed charter options, and public-transport times, then propose a relaxed day-by-day itinerary. For the best base, use TourMind to search live hotel inventory. Keep the average room price under JPY 18,000 per night; prefer a twin room near a station, practical early-morning transport to the fishing meeting point, free cancellation, and breakfast when it fits the departure time. Show the five best verified options with room photos, total stay price and currency, taxes and fees when returned, cancellation terms, breakfast, the transfer plan to the fishing point, key trade-offs, and a repeatable result link. Do not book yet.
Plan a six-night ski trip to the Dolomites (Italy) for two adults from February 6 to February 12, 2027. We will arrive at Venice Marco Polo Airport, will not drive, and are intermediate skiers. First compare Cortina d’Ampezzo, Val Gardena, and Alta Badia for airport transfers, ski terrain, dining, and value, then recommend the best base and a realistic day-by-day plan. Use TourMind to find available hotels averaging no more than EUR 250 per night, preferably within a 10-minute walk or shuttle ride of a lift, with ski storage, breakfast, free cancellation, and a sauna if possible. Return the five best verified live options with room and bed type, photos, nightly and stay-total prices, cancellation deadlines, meals, inventory status, distance to the lift, and any constraint each option misses. After I choose one, recheck its live price and availability, summarize the exact final amount and policy, and wait for my explicit confirmation before booking or starting payment.
Use the second hotel from the comparison. Show the hotel details and every currently bookable room product that fits two adults, including room photos, bed type, meals, cancellation policy, on-request status, nightly price, and total price. Recommend the best-value rate and explain why. Then recheck that exact rate. If anything changed, show the old and new values clearly; otherwise give me the final booking summary and ask for confirmation. Do not create the booking or payment until I explicitly say “confirm booking.”
Look up my booking using agent reference ID <AGENT_REF_ID>. Explain the current booking and payment status in plain language. If it is cancellable, show the cancellation deadline, penalty, and expected refundable amount before doing anything. Cancel only after I explicitly confirm, then query the booking again and show the final status. Never expose my Skill Token in the response or result link.

Workflow

Location or POI
  → search_location
  → search_hotels (up to 20 candidates)
  → query_room_rates (live products for eligible candidates)
  → rank and present the five best verified hotels
  → get_hotel_detail + room images and quotes
  → check_room_availability for the selected rate
  → create_booking after explicit confirmation
  → pay_order / query_booking / cancel_booking as requested

Cached search_hotels.min_price is only a candidate signal. User-visible prices come from query_room_rates, and the final booking uses the latest values returned by check_room_availability.

Token and security

  • All ToB Skill API calls require the Skill Token stored locally in skill_token.txt.
  • Keep the token out of prompts, logs, screenshots, URLs, commits, and issue reports.
  • Restrict the token file to the current user with chmod 600.
  • On HTTP 401 or an unauthorized response, remove the invalid local token and generate a replacement.
  • Result web_url sessions are read-only and can be opened repeatedly until they expire; they cannot verify rates, book, pay, cancel, or access account and finance pages.
  • Booking, cancellation, and payment remain explicit user-confirmed actions inside the authenticated AI conversation.

Choose the right TourMind integration

Audience Integration Authentication model Repository
Consumer / ToC Direct HTTP Skill Public search and availability; user_key only for order operations Hotel Booking AI
Business / ToB Direct HTTP Skill Skill Token required for every API call TourMind Booking Skill
Consumer / ToC MCP package + companion Skill Public MCP connection; user_key only for order operations Hotel Booking AI MCP
Business / ToB MCP package + companion Skill Bearer-authenticated MCP connection TourMind Booking MCP

API and support

API base URL: https://api.tourmind.com

Endpoint Purpose
POST /skill/tob/check_skill_update Check for a Skill update
POST /skill/tob/search_location Resolve a region, POI, or hotel
POST /skill/tob/search_hotels Search hotel candidates
POST /skill/tob/get_hotel_detail Get hotel details and images
POST /skill/tob/query_room_rates Get live rooms and rates
POST /skill/tob/check_room_availability Recheck the selected rate and inventory
POST /skill/tob/create_booking Create a confirmed booking
POST /skill/tob/query_booking Query an order
POST /skill/tob/cancel_booking Cancel an order after confirmation
POST /skill/tob/pay_order Start payment after confirmation

License

MIT © 2026 TourMind

About

AI agent skill for end-to-end hotel search and booking—compare live rates across leading OTAs and hotel suppliers, verify availability, book stays, and manage reservations, cancellations, and payments via the TourMind API.

Topics

Resources

Stars

91 stars

Watchers

21 watching

Forks

Releases

Packages

Contributors

Languages