⚠️ 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.

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Skill: airport-pickup-service#

Overview#

Book airport transfer services — private cars, shared shuttles, and limo services for comfortable, stress-free arrivals and departures.

When to Activate#

User query contains:

• English: "airport transfer", "pickup", "drop off", "airport taxi"
• Chinese: "机场接送", "接机", "送机", "机场专车"

Do NOT activate for: car rental → car-rental-search

Prerequisites#

bash

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

Parameters#

ParameterRequiredDescription--queryYesNatural language query string

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 for parameter collection SOP.

Step 2: Execute CLI Commands#

Playbook A: Airport Pickup#

Trigger: "airport transfer"

bash

flyai keyword-search --query "机场接送 {city}"

Output: Airport transfer services.

Playbook B: Private Car#

Trigger: "private airport car"

bash

flyai keyword-search --query "机场专车 {city}"

Output: Private car service.

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#

bash

flyai keyword-search --query "机场接送 上海"

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 transfer options: taxi (metered, reliable in China), ride-hailing (Didi in China, Grab in SE Asia), private car (pre-booked, meet at arrival), airport bus (cheapest), metro/train (if available). Private car: ¥200-500 depending on distance. Book ahead for early morning/late night flights. Share ride for budget option.

References#

FilePurposeWhen to readreferences/templates.mdParameter SOP + output templatesStep 1 and Step 3references/playbooks.mdScenario playbooksStep 2references/fallbacks.mdFailure recoveryOn failurereferences/runbook.mdExecution logBackground