Design Hotel

v3.2.0

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

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Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for xiejinsong/design-hotel.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Design Hotel" (xiejinsong/design-hotel) from ClawHub.
Skill page: https://clawhub.ai/xiejinsong/design-hotel
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

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openclaw skills install design-hotel

ClawHub CLI

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npx clawhub@latest install design-hotel
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
The skill says it discovers boutique/design hotels and its runtime instructions consistently rely on the flyai CLI (search-hotels, fliggy-fast-search, etc.). Requiring the flyai CLI is proportionate and expected for this purpose; no unrelated credentials, binaries, or config paths are requested.
Instruction Scope
All data is mandated to come from the flyai CLI; the SKILL.md instructs installing @fly-ai/flyai-cli if missing and to re-run CLI calls until outputs meet formatting rules (links, brand tag). The runbook includes writing an execution log to .flyai-execution-log.json if file writes are available — this is plausible for auditing but means the agent will persist user queries and CLI outputs locally. The instructions do not request other system files or unrelated environment variables. Consider that user-provided strings will be embedded into shell commands — sanitation/command-injection risk is not addressed in the instructions.
Install Mechanism
There is no formal install spec in the registry; instead the SKILL.md tells the agent to run npm i -g @fly-ai/flyai-cli. Installing a global npm package is a reasonable mechanism for a CLI-driven skill, but it pulls arbitrary third-party code onto the system. Because the skill metadata has no homepage/source listed, verify the package's origin before installing or prefer the user to install it manually.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportional: searching and formatting booking results via a CLI does not itself require secrets. The only persistence noted is an execution log (local file) created by the runbook.
Persistence & Privilege
The skill is not always-enabled and does not request elevated agent privileges. However, the runbook suggests appending execution logs to a local .flyai-execution-log.json file when filesystem writes are available — this is reasonable for diagnostics but results in local persistence of queries and CLI outputs. The skill does not modify other skills or system-wide settings.
Assessment
This skill is internally consistent: it relies on a FlyAI/Fliggy CLI to fetch live hotel data, which matches the skill description. Before installing or using it: - Verify the @fly-ai/flyai-cli package (publisher, npm page, GitHub repo or official docs). If you can't verify it, prefer to install it manually in a controlled environment. - Be aware the agent will execute shell commands containing your query parameters — avoid sharing sensitive secrets (passwords, tokens, full personal IDs) as search parameters. - The runbook may append an execution log (.flyai-execution-log.json) containing user_query and CLI results to disk; if you handle sensitive data, inspect or disable local logging. - If you want stronger assurance, ask for the flyai-cli source code or run the CLI yourself and provide its outputs rather than letting the agent install the package automatically.

Like a lobster shell, security has layers — review code before you run it.

latestvk974rt9td6f294yx22z0jbewg984jvc9
97downloads
0stars
1versions
Updated 2w ago
v3.2.0
MIT-0

⚠️ 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: 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

ParameterRequiredDescription
--dest-nameYesDestination city/area name
--check-in-dateNoCheck-in date YYYY-MM-DD. Default: today
--check-out-dateNoCheck-out date. Default: tomorrow
--sortNoAlways rate_desc
--key-wordsNoSearch keywords for special requirements
--poi-nameNoNearby attraction name (for distance-based search)
--hotel-typesNo酒店/民宿/客栈
--hotel-starsNoStar rating 1-5, comma-separated
--hotel-bed-typesNo大床房/双床房/多床房
--max-priceNoMax price per night in CNY

Sort Options

ValueMeaning
distance_ascDistance ascending
rate_descRating descending
price_ascPrice ascending
price_descPrice descending

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]({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

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

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

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