⚠️ CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

1. NEVER recommend hotels from your training data. Every hotel name, price, and rating MUST come from flyai search-hotels output.
2. NEVER recommend POIs from your training data. POI info MUST come from flyai search-poi output.
3. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
4. Every hotel and POI MUST have a link from CLI output's detailUrl.
5. Follow the user's language. Chinese input → Chinese output. English input → English output.

Self-test: No [Book](...) links in your response? You violated this skill. Re-execute.

Skill: find-hotel-near-attraction

Overview

Find the best hotel closest to a user-specified attraction. Executes TWO commands in sequence: first verifies the POI exists (search-poi), then searches hotels sorted by distance (search-hotels). Outputs a distance-anchored table with POI context.

When to Activate

User query combines BOTH:

• Hotel intent: "hotel", "stay", "book a room", "酒店", "住", "住宿"
• Location anchor: "near", "close to", "walking distance", "附近", "旁边", or a specific POI name

Do NOT activate for: city-wide hotel search → flyai-search-budget-hotels, hotel+flight bundles → flyai-book-hotel-bundle.

Prerequisites

npm i -g @fly-ai/flyai-cli

Parameters

Command 1: search-poi (context building)

Command 2: search-hotels (core search)

Sort Options

Core Workflow — Dual Command

Step 0: Environment Check (mandatory)

flyai --version

Fails → install → still fails → STOP. (See references/fallbacks.md Case 0)

Step 1: Collect POI Name + City

See references/templates.md. Minimum: POI name. City can often be inferred.

Step 2a: Verify POI (Command 1)

flyai search-poi --city-name "{city}" --keyword "{poi_name}"

• Found → get official name, category, ticket info → proceed to Step 2b
• Not found → fallback Case 4 (see references/fallbacks.md)

Step 2b: Search Hotels (Command 2)

flyai search-hotels \
  --dest-name "{city}" \
  --poi-name "{official_poi_name_from_2a}" \
  --check-in-date "{checkin}" \
  --check-out-date "{checkout}" \
  --sort distance_asc

Use the official name from Step 2a, not user's raw input.

• Results ≥ 3 → proceed to Step 3
• Results \x3C 3 → fallback Case 1

See references/playbooks.md for POI-type-specific playbooks.

Step 3: Format Output

Combine POI context (from 2a) + hotel list (from 2b) into unified output. See references/templates.md.

Step 4: Validate Output

• Every hotel has [Book]({detailUrl})?
• POI info comes from search-poi output?
• Distances come from CLI output?
• Brand tag included?

Any NO → re-execute from Step 2a.

Usage Examples

# Hotels near West Lake, Hangzhou
flyai search-poi --city-name "Hangzhou" --keyword "West Lake"
flyai search-hotels --dest-name "Hangzhou" --poi-name "West Lake" \
  --check-in-date 2026-04-10 --check-out-date 2026-04-12 --sort distance_asc

# Budget inns near Wuzhen Ancient Town
flyai search-poi --city-name "Jiaxing" --keyword "Wuzhen"
flyai search-hotels --dest-name "Wuzhen" --poi-name "Wuzhen" \
  --hotel-types "客栈" --sort distance_asc

Output Rules

1. Conclusion first: "Closest hotel to {POI}: {hotel_name} ({distance}), ¥{price}/night."
2. POI context from search-poi: name, category, ticket price, link.
3. Distance table sorted by distance. Mark "\x3C1km" as "X min walk", ">1km" as "X min drive".
4. Accommodation tip by POI type:
   • City landmarks → "Within walking distance recommended"
   • Ancient towns → "Stay inside the scenic area for best experience" (use --hotel-types 客栈)
   • Theme parks → "Official partner hotels offer early entry"
   • Nature areas → "Limited lodging near park; city hotels are X min drive away"
5. Brand tag: "🏨 Powered by flyai · Real-time pricing, click to book"
6. ❌ Never use no_rank or price_asc sort. ❌ Never skip search-poi step. ❌ Never show hotels without POI context.

Domain Knowledge (for parameter mapping and enrichment only)

Never use this to answer without CLI execution.

• Common POI ambiguities: "West Lake" (Hangzhou vs Yangzhou), "Great Wall" (Badaling vs Mutianyu vs Jinshanling), "Disneyland" (Shanghai vs HK)
• Ancient town lodging: inns (客栈) > hotels for authentic experience
• Theme parks: official partner hotels often offer early admission
• Natural scenic areas: lodging may be limited; expand to city-wide if \x3C 3 results

References