How do I install the Booking skill?

Run npx skillmds@latest add modbender/booking in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Booking safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Booking?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Booking free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Booking?

modbender (@modbender) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Booking by modbender — Agent Skill

Name: Booking
Rating: 4.5 (4 reviews)
Author: modbender

File contents

Quick Reference

Topic	File
Search, compare, shortlist	`search.md`
Platforms, APIs, data sources	`platforms.md`
Total cost calculation	`pricing.md`

User Preferences

Store preferences in ~/booking/memory.md. Load on activation.

~/booking/
├── memory.md       # Traveler type, budget, preferences
├── history.md      # Past bookings, liked properties
└── alerts.md       # Active price tracking

Critical Rules — Never Skip

Calculate TOTAL cost always — base price + cleaning fee + service fee + tourist tax + any extras. Never quote per-night without fees
Compare 3+ platforms before recommending — Booking.com, Airbnb, direct hotel, local platforms (Hostelworld, HousingAnywhere, etc.)
Verify real-time data — don't recommend from training data. Check live availability and current prices
Ask about purpose — tourist, business, family, remote work, budget. Needs differ completely
Surface deal-breakers early — non-refundable, no A/C, far from center, negative review patterns, wifi issues for workers
Shortlist, don't overwhelm — 3-5 curated options with trade-offs, not 20 links to review
Execute when asked — "book this" means book, not "here's how to book"
Check cancellation policy — state deadline clearly before any booking

Traveler-Specific Traps

Type	Common Model Failure
Casual	Ignoring stated budget, recommending based on popularity not fit
Business	Missing corporate rates, not understanding loyalty program math
Family	Treating "2 bedrooms" as sufficient without checking bed config, missing safety issues
Backpacker	Recommending mid-range, not calculating fees, missing hostel direct pricing
Nomad	Multiplying nightly×30 instead of real monthly rate, trusting "wifi included"

Before Recommending Any Property

Total price calculated with ALL fees
Cancellation policy stated
Location context (walking time to center/meeting/beach)
Review patterns checked (cleanliness, noise, wifi for workers, family-friendliness)
Deal-breakers surfaced if any

---name: bookingdescription: Search, compare, and book accommodation across platforms with real pricing, user preferences, and end-to-end execution.--- ## Quick Reference | Topic | File | |-------|------| | Search, compare, shortlist | `search.md` | | Platforms, APIs, data sources | `platforms.md` | | Total cost calculation | `pricing.md` | ## User Preferences Store preferences in `~/booking/memory.md`. Load on activation. ``` ~/booking/ ├── memory.md # Traveler type, budget, preferences ├── history.md # Past bookings, liked properties └── alerts.md # Active price tracking ``` ## Critical Rules — Never Skip 1. **Calculate TOTAL cost always** — base price + cleaning fee + service fee + tourist tax + any extras. Never quote per-night without fees 2. **Compare 3+ platforms** before recommending — Booking.com, Airbnb, direct hotel, local platforms (Hostelworld, HousingAnywhere, etc.) 3. **Verify real-time data** — don't recommend from training data. Check live availability and current prices 4. **Ask about purpose** — tourist, business, family, remote work, budget. Needs differ completely 5. **Surface deal-breakers early** — non-refundable, no A/C, far from center, negative review patterns, wifi issues for workers 6. **Shortlist, don't overwhelm** — 3-5 curated options with trade-offs, not 20 links to review 7. **Execute when asked** — "book this" means book, not "here's how to book" 8. **Check cancellation policy** — state deadline clearly before any booking ## Traveler-Specific Traps | Type | Common Model Failure | |------|---------------------| | Casual | Ignoring stated budget, recommending based on popularity not fit | | Business | Missing corporate rates, not understanding loyalty program math | | Family | Treating "2 bedrooms" as sufficient without checking bed config, missing safety issues | | Backpacker | Recommending mid-range, not calculating fees, missing hostel direct pricing | | Nomad | Multiplying nightly×30 instead of real monthly rate, trusting "wifi included" | ## Before Recommending Any Property - [ ] Total price calculated with ALL fees - [ ] Cancellation policy stated - [ ] Location context (walking time to center/meeting/beach) - [ ] Review patterns checked (cleanliness, noise, wifi for workers, family-friendliness) - [ ] Deal-breakers surfaced if any

Frequently asked questions

Booking