360 Secure SkillHub
360 安全技能中心

Pool Hotel

该 Skill 面向“带泳池的酒店”检索场景:先安装并检查 flyai 命令行工具,再按目的地、日期、关键词等参数执行 search-hotel 检索,最后按模板输出含预订入口的酒店对比结果。正文含无边泳池、室内泳池等场景剧本、失败回退说明与参数收集模板,并强调数据须来自命令输出而非模型知识。

xiejinsong
xiejinsong
热度 32.60
最近更新 2026-05-11 17:42:01
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 pool-hotel
Metadata
name
pool-hotel
description
Find hotels with swimming pools — indoor heated pools, outdoor infinity pools, rooftop pools, and kid-friendly splash areas. 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: pool-hotel

Overview

Find hotels with swimming pools — indoor heated pools, outdoor infinity pools, rooftop pools, and kid-friendly splash areas.

When to Activate

User query contains:

  • English: "hotel with pool", "swimming pool", "pool resort"
  • Chinese: "有泳池的酒店", "泳池酒店", "带游泳池"

Do NOT activate for: beach resort → beach-resort

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 — 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: Pool Hotel

Trigger: "hotel with pool", "有泳池"

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

Output: Hotels with swimming pools.

Playbook B: Infinity Pool

Trigger: "infinity pool"

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

Output: Resorts with infinity pools.

Playbook C: Indoor Pool

Trigger: "indoor pool", "室内泳池"

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

Output: Year-round swimming options.

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 "Sanya" --key-words "泳池" --sort rate_desc --check-in-date 2026-07-01 --check-out-date 2026-07-03

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 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.

Pool types: rooftop (city views), infinity (resort/beach), indoor heated (year-round), kids' pool (family-friendly). Most 4-5 star hotels have pools. Some 3-star and boutique hotels also offer unique pool experiences. Check pool hours — many hotel pools close 9-10 PM.

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