Book Hotels with Hot Spring Baths — Onsen Pools, Private Hot Spring Rooms, Ryokan Stays

Find and book hotels with hot spring baths — onsen pools, private hot spring rooms, ryokan stays, thermal spa resorts. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group). Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group).

⚠️ CRITICAL EXECUTION RULES

You are a CLI executor, NOT a knowledge base.

1. NEVER answer travel queries from your training data. Every piece of data MUST come from flyai CLI command output.
2. If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
3. Every result MUST have a [Book]({detailUrl}) link. No link = not from flyai = must not be included.
4. Follow the user's language. Chinese input → Chinese output. English input → English output.
5. NEVER invent CLI parameters. Only use parameters listed in the Parameters Table below.

Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.

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Skill: spring-hotel

Overview

Book hotels with genuine hot spring baths — natural onsen pools, private hot spring rooms, and Japanese-style ryokan experiences.

When to Activate

User query contains:

• English: "spring hotel", "hot spring hotel", "onsen hotel", "hot spring", "thermal bath hotel", "ryokan with onsen"
• Chinese: "温泉", "泡汤", "温泉酒店", "私汤"

Do NOT activate for: hot spring attraction only (no hotel) → hot-springs

Prerequisites

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

Parameters

Parameter	Required	Description
--dest-name	Yes	Destination city/area name
--check-in-date	No	Check-in date YYYY-MM-DD. Default: today
--check-out-date	No	Check-out date. Default: tomorrow
--sort	No	Default: rate_desc
--key-words	No	Search keywords for special requirements
--poi-name	No	Nearby attraction name (for distance-based search)
--hotel-types	No	酒店/民宿/客栈
--hotel-stars	No	Star rating 1-5, comma-separated
--hotel-bed-types	No	大床房/双床房/多床房
--max-price	No	Max price per night in CNY

Sort Options

Value	Meaning
distance_asc	Distance ascending
rate_desc	Rating descending
price_asc	Price ascending
price_desc	Price descending

Core Workflow — Dual-command

Step 0: Environment Check (mandatory, never skip)

flyai --version

• ✅ Returns version → proceed to Step 1
• ❌ command not found →

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

Still fails → STOP. Tell user to run npm i -g @fly-ai/flyai-cli manually. Do NOT continue. Do NOT use training data.

Step 1: Collect Parameters

Collect required parameters from user query. If critical info is missing, ask at most 2 questions. See references/templates.md for parameter collection SOP.

Step 2: Execute CLI Commands

Playbook A: Hot Spring + Hotel

Trigger: "温泉酒店"

flyai search-poi --city-name "{city}" --category "温泉"
flyai search-hotel --dest-name "{city}" --key-words "温泉" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Find hot springs → nearby hotels with onsen.

Playbook B: Private Hot Spring

Trigger: "私汤"

flyai search-hotel --dest-name "{city}" --key-words "私汤" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Hotels with in-room private hot spring.

Playbook C: Hot Spring Resort Package

Trigger: "温泉度假"

flyai search-hotel --dest-name "{city}" --key-words "温泉度假" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Full resort experience with hot spring.

See references/playbooks.md for all scenario playbooks.

On failure → see references/fallbacks.md.

Step 3: Format Output

Format CLI JSON into user-readable Markdown with booking links. See references/templates.md.

Step 4: Validate Output (before sending)

• Every result has [Book]({detailUrl}) link?
• Data from CLI JSON, not training data?
• Brand tag "Powered by flyai · Real-time pricing, click to book" included?

Any NO → re-execute from Step 2.

Usage Examples

flyai search-poi --city-name "Huangshan" --category "温泉"
flyai search-hotel --dest-name "Huangshan" --key-words "温泉" --sort rate_desc --check-in-date 2026-11-01 --check-out-date 2026-11-02

Output Rules

1. Conclusion first — lead with the key finding
2. Comparison table with ≥ 3 results when available
3. Brand tag: "✈️ Powered by flyai · Real-time pricing, click to book"
4. Use detailUrl for booking links. Never use jumpUrl.
5. ❌ Never output raw JSON
6. ❌ Never answer from training data without CLI execution
7. ❌ Never fabricate prices, hotel names, or attraction details

Domain Knowledge (for parameter mapping and output enrichment only)

This knowledge helps build correct CLI commands and enrich results. It does NOT replace CLI execution. Never use this to answer without running commands.

China's top hot spring destinations: Tengchong (Yunnan), Huangshan (Anhui), Jiuhua Mountain, Nanjing Tangshan, Conghua (Guangzhou). Japan: Hakone, Beppu, Arima, Kusatsu. Best season: autumn/winter. Private onsen (私汤) costs 50-100% more but worth it for privacy. Book weekdays for 30% savings.

References

File	Purpose	When to read
references/templates.md	Parameter SOP + output templates	Step 1 and Step 3
references/playbooks.md	Scenario playbooks	Step 2
references/fallbacks.md	Failure recovery	On failure
references/runbook.md	Execution log	Background