airport-transit-hotel
# ⚠️ 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: airport-transit-hotel
## Overview
Find hotels near airports for layovers, early morning flights, or late-night arrivals. Sorted by distance to terminal with shuttle info.
## When to Activate
User query contains:
- English: "airport hotel", "near airport", "layover hotel", "transit stay"
- Chinese: "机场酒店", "机场附近住", "中转住宿", "航站楼附近"
Do NOT activate for: city center → `budget-hotel-finder`
## Prerequisites
```bash
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 `distance_asc`** |
| `--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)
```bash
flyai --version
```
- ✅ Returns version → proceed to Step 1
- ❌ `command not found` →
```bash
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](references/templates.md) for parameter collection SOP.
### Step 2: Execute CLI Commands
### Playbook A: Near Airport
**Trigger:** "airport hotel", "机场酒店"
```bash
flyai search-hotel --dest-name "{city}" --key-words "机场" --sort distance_asc --check-in-date {in} --check-out-date {out}
```
**Output:** Hotels near airport, closest first.
### Playbook B: Transit Capsule
**Trigger:** "transit hotel", "中转休息"
```bash
flyai search-hotel --dest-name "{city}" --key-words "机场 太空舱" --sort price_asc --check-in-date {in} --check-out-date {out}
```
**Output:** Capsule/pod hotels near airport for short stays.
### Playbook C: Pre-Flight Stay
**Trigger:** "early morning flight", "早班机前一晚"
```bash
flyai search-hotel --dest-name "{city}" --key-words "机场" --sort distance_asc --check-in-date {tonight} --check-out-date {tomorrow}
```
**Output:** One night before early departure.
See [references/playbooks.md](references/playbooks.md) for all scenario playbooks.
On failure → see [references/fallbacks.md](references/fallbacks.md).
### Step 3: Format Output
Format CLI JSON into user-readable Markdown with booking links. See [references/templates.md](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
```bash
flyai search-hotel --dest-name "Shanghai" --key-words "浦东机场" --sort distance_asc --check-in-date 2026-05-01 --check-out-date 2026-05-02
```
## 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.
Airport hotels tip: check shuttle service (many offer free shuttle every 15-30 min). Some airports have in-terminal transit hotels (e.g., PVG, CAN). Capsule hotels near airports cost ¥100-200 for 4-8 hours. For layovers >8h, a proper hotel room is more restful than a lounge.
## References
| File | Purpose | When to read |
|------|---------|-------------|
| [references/templates.md](references/templates.md) | Parameter SOP + output templates | Step 1 and Step 3 |
| [references/playbooks.md](references/playbooks.md) | Scenario playbooks | Step 2 |
| [references/fallbacks.md](references/fallbacks.md) | Failure recovery | On failure |
| [references/runbook.md](references/runbook.md) | Execution log | Background |
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skill
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