360 Secure SkillHub
360 安全技能中心

Travel Bundle

该 Skill 通过 flyai 命令行工具检索机票与酒店组合套餐,比较打包价与单独预订的总价,并输出带预订链接的 Markdown 比价结果。执行前强制检测并安装 flyai CLI,要求所有数据来自命令输出、禁止凭训练数据作答。SKILL.md 引用的 4 个参考文件在文件列表中不存在。

dingtom336-gif
dingtom336-gif
热度 31.96
最近更新 2026-05-11 17:42:05
分类:生活依赖:代码执行 / 第三方 API应用场景:旅行 / 推荐 / 工作流

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 travel-bundle
Metadata
name
travel-bundle
description
Find package deals combining hotel and flights — often 10-20% cheaper than booking separately. One search, one booking, complete trip. 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: travel-bundle

Overview

Find package deals combining hotel and flights — often 10-20% cheaper than booking separately. One search, one booking, complete trip.

When to Activate

User query contains:

  • English: "hotel+flight", "package deal", "bundle", "all-in-one"
  • Chinese: "机酒套餐", "机票加酒店", "打包价"

Do NOT activate for: separate booking → cheap-flights + 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 Compare bundled vs separate
--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 — Multi-command orchestration

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: Bundle Search

Trigger: "hotel+flight package", "机酒套餐"

flyai keyword-search --query "机酒套餐 {origin} to {dest}"
flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --sort-type 3
flyai search-hotel --dest-name "{dest}" --sort price_asc --check-in-date {in} --check-out-date {out}

Output: Search bundle + separate, compare total.

Playbook B: Luxury Bundle

Trigger: "luxury package"

flyai keyword-search --query "豪华机酒套餐 {dest}"
flyai search-flight --origin "{o}" --destination "{d}" --dep-date {date} --seat-class-name business --sort-type 3
flyai search-hotel --dest-name "{dest}" --hotel-stars 5 --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Premium bundle comparison.

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 keyword-search --query "机酒套餐 上海到三亚"
flyai search-flight --origin "Shanghai" --destination "Sanya" --dep-date 2026-05-01 --sort-type 3
flyai search-hotel --dest-name "Sanya" --sort price_asc --check-in-date 2026-05-01 --check-out-date 2026-05-03

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.

Package savings: 10-20% vs separate booking, especially for popular routes (SH→Sanya, BJ→Tokyo). Best for 3+ night stays. Packages often include airport transfer. Compare: package total vs (cheapest flight + cheapest hotel) to verify actual 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