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생산성 및 협업 · SKILL.md

Booking

Booking

Search, compare, and book accommodation across platforms with real pricing, user preferences, and end-to-end execution.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: Booking slug: booking version: 1.0.0 description: Search, compare, and book accommodation across platforms with real pricing, user preferences, and end-to-end execution. homepage: https://clawic.com/skills/booking metadata: clawdbot: emoji: 🏨 requires: bins: [] os: - linux - darwin - win32 displayName: Booking

Quick Reference

TopicFile
Search, compare, shortlistsearch.md
Platforms, APIs, data sourcesplatforms.md
Total cost calculationpricing.md

User Preferences

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

~/Clawic/data/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

TypeCommon Model Failure
CasualIgnoring stated budget, recommending based on popularity not fit
BusinessMissing corporate rates, not understanding loyalty program math
FamilyTreating "2 bedrooms" as sufficient without checking bed config, missing safety issues
BackpackerRecommending mid-range, not calculating fees, missing hostel direct pricing
NomadMultiplying 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
저장한 Skills