⚠️ 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: 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

npm i -g @fly-ai/flyai-cli

Parameters

Sort Options

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: Near Airport

Trigger: "airport hotel", "机场酒店"

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"

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"

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 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 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" --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