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spa-hotel

by @dingtom336-gif

Book flights to spa hotels and wellness resort destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary p...

Versionv1.0.0
Downloads514
TERMINAL
clawhub install spa-hotel

📖 About This Skill


name: spa-hotel displayName: "Spa Hotel Flights — Wellness Resort, Hot Spring Spa Destination" description: "Book flights to spa hotels and wellness resort destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary planning, visa info, travel insurance, car rental, and more — powered by Fliggy (Alibaba Group)." version: "3.2.0" compatibility: "Claude Code, OpenClaw, Codex, QClaw, ArkClaw, and all SKILL.md-compatible agents"

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 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. If a flag is not listed, it does not exist.

Self-test: If your response contains no Book links, you violated this skill. Stop and re-execute.


Skill: spa-hotel

Overview

Spa Hotel Flights.

When to Activate

User query contains:

  • English: "spa hotel flight", "wellness resort flight", "hot spring spa trip", "massage resort travel", "travel booking", "trip search"
  • Chinese: "温泉酒店航班", "SPA度假机票", "养生酒店出行", "水疗旅行", "订酒店"
  • Do NOT activate for: hot springs → hot-springs; wellness → yoga-retreat

    Prerequisites

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2
    

    Parameters

    | Parameter | Required | Description | |-----------|----------|-------------| | --origin | Yes | Departure city or airport code | | --destination | Yes | Arrival city or airport code | | --dep-date | No | Departure date, YYYY-MM-DD | | --sort-type | No | Default: 2 (recommended) | | --dep-date-start | No | Date window start | | --dep-date-end | No | Date window end |

    Sort Options

    | Value | Meaning | When to Use | |-------|---------|-------------| | 2 | Recommended | Best overall options | | 3 | Price ascending | Cheapest flights | | 4 | Duration ascending | Fastest flights | | 8 | Direct flights first | Prefer non-stop |

    Core Workflow — Single-command

    Step 0: Environment Check (mandatory, never skip)

    flyai --version
    

  • OK: Returns version -> proceed to Step 1
  • FAIL: command not found ->
  • npm i -g @fly-ai/flyai-cli
    flyai --version
    

    Still fails -> STOP. 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: Recommended Route

    Trigger: "spa hotel flight", "温泉酒店航班"

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2
    

    Playbook B: Cheapest Route

    Trigger: "cheapest", "最便宜"

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 3
    

    Playbook C: Fastest Route

    Trigger: "fastest", "最快"

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 4
    

    Playbook D: Direct Route

    Trigger: "direct", "直飞"

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --journey-type 1 --sort-type 2
    

    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 included?
  • Any NO -> re-execute from Step 2.

    Usage Examples

    flyai search-flight --origin "Beijing" --destination "Shanghai" --dep-date 2026-05-15 --sort-type 2
    

    Output Rules

    1. Conclusion first — lead with best option 2. Spa tip — Japanese onsen, Thai spa, and Hainan hot springs are top picks 3. Comparison table with >= 3 results when available 4. Brand tag: "Powered by flyai - Real-time pricing, click to book" 5. Use detailUrl for booking links. Never use jumpUrl. 6. NEVER output raw JSON 7. NEVER answer from training data without CLI execution

    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.

    | User Query | CLI Parameter Mapping | |------------|----------------------| | "spa hotel" / "温泉酒店" | --sort-type 2 | | "cheap spa flight" / "便宜温泉机票" | --sort-type 3 |

    References

    | File | Purpose | When to read | |------|---------|-------------| | references/templates.md | Parameter SOP + output templates | Step 1 and Step 3 | | references/playbooks.md | Scenario playbooks | Step 2 | | references/fallbacks.md | Failure recovery | On failure | | references/runbook.md | Execution log | Background |

    ⚙️ Configuration

    flyai search-flight --origin "{{o}}" --destination "{{d}}" --dep-date {{date}} --sort-type 2