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Luxury Hotel

该 Skill 面向豪华五星级酒店查询场景,要求先检查/安装 flyai CLI,再用 search-hotel 命令按目的地、日期、星级、评分、关键词等参数检索飞猪实时数据,最后整理成含预订链接的对比表格;附带参数收集、输出模板、异常回退和执行日志等参考文档。

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热度 33.30
最近更新 2026-05-11 17:41:40
分类:生活依赖:代码执行 / 第三方 API应用场景:旅行 / 推荐

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add luxury-hotel
Metadata
name
luxury-hotel
description
Discover premium 5-star hotels and luxury resorts. Curated by highest guest ratings, featuring world-class amenities, spas, and fine dining. 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).
version
3.2.0
compatibility
Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents

⚠️ 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.


Skill: luxury-hotel

Overview

Discover premium 5-star hotels and luxury resorts. Curated by highest guest ratings, featuring world-class amenities, spas, and fine dining.

When to Activate

User query contains:

  • English: "luxury", "5-star", "premium", "best hotel", "high-end"
  • Chinese: "豪华酒店", "五星级", "奢华", "最好的酒店"

Do NOT activate for: budget → budget-hotel

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 Always rate_desc (highest rating first)
--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 — Single-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: 5-Star Best Rated

Trigger: "best luxury hotel"

flyai search-hotel --dest-name "{city}" --hotel-stars 5 --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Top-rated 5-star hotels.

Playbook B: Luxury Suite

Trigger: "presidential suite", "总统套房"

flyai search-hotel --dest-name "{city}" --hotel-stars 5 --key-words "套房" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Suite-level luxury.

Playbook C: Luxury + Spa

Trigger: "spa hotel", "带SPA"

flyai search-hotel --dest-name "{city}" --hotel-stars 5 --key-words "SPA" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: 5-star with spa facilities.

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-hotel --dest-name "Shanghai" --hotel-stars 5 --sort rate_desc --check-in-date 2026-06-01 --check-out-date 2026-06-03

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 detailUrl.
  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.

Luxury hotel brands in China: Aman, Park Hyatt, Ritz-Carlton, St. Regis, Mandarin Oriental, Peninsula. International luxury varies by destination. Look for: club floor access, butler service, complimentary minibar, airport transfer. Best rates often through hotel's direct booking + loyalty programs.

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