⚠️ 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: boutique-design-hotel

Overview

Discover design-forward boutique hotels — Instagram-worthy interiors, unique architectural concepts, and curated artistic experiences.

When to Activate

User query contains:

• English: "boutique", "design hotel", "stylish", "instagrammable hotel"
• Chinese: "精品酒店", "设计酒店", "网红酒店", "有格调"

Do NOT activate for: standard luxury → luxury-hotel-picker

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: Best Design Hotel

Trigger: "boutique hotel", "精品酒店"

flyai search-hotels --dest-name "{city}" --key-words "精品" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Top-rated boutique properties.

Playbook B: Art Hotel

Trigger: "art hotel", "艺术酒店"

flyai search-hotels --dest-name "{city}" --key-words "艺术" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Hotels with artistic themes.

Playbook C: Design + Views

Trigger: "有设计感的景观酒店"

flyai search-hotels --dest-name "{city}" --key-words "精品 景观" --sort rate_desc --check-in-date {in} --check-out-date {out}

Output: Design hotels with scenic views.

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-hotels --dest-name "Shanghai" --key-words "精品" --sort rate_desc --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.

Boutique hotel characteristics: typically 20-100 rooms, unique design theme, personalized service, curated amenities. Notable boutique hotel brands in China: Alila, Banyan Tree, naked retreats, Kayumanis. Boutique hotels often have better food than big chains. Best discovered through ratings rather than star classification.

References