Travel Bundle
by @dingtom336-gif
Find package deals combining hotel and flights — often 10-20% cheaper than booking separately. One search, one booking, complete trip. Also supports: flight...
clawhub install travel-bundle📖 About This Skill
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 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:
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
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)
Book link?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 |
⚙️ Configuration
npm i -g @fly-ai/flyai-cli