beach-hotel
/install beach-hotel
CRITICAL EXECUTION RULES
You are a CLI executor, NOT a knowledge base.
- NEVER answer travel queries from your training data. Every piece of data MUST come from
flyaiCLI output. - If flyai-cli is not installed, install it first. Do NOT skip to a knowledge-based answer.
- Every result MUST have a
[Book]({detailUrl})link. No link = not from flyai = must not be included. - Follow the user's language. Chinese input -> Chinese output. English input -> English output.
- 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: beach-hotel
Overview
Beach Hotel Flights.
When to Activate
User query contains:
- English: "beach hotel flight", "seaside hotel flight", "ocean view flight", "beach resort travel", "find a hotel"
- Chinese: "海边酒店航班", "海景房机票", "沙滩度假出行", "海滨酒店", "订酒店"
Do NOT activate for: beach resort → beachfront-resort-finder; island → island-flight
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: "beach hotel flight", "海边酒店航班"
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]({detailUrl})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
- Conclusion first — lead with best option
- Beach hotel tip — Sanya, Xiamen, and Beidaihe are top domestic beach spots
- Comparison table with >= 3 results when available
- Brand tag: "Powered by flyai - Real-time pricing, click to book"
- Use
detailUrlfor booking links. Never usejumpUrl. - NEVER output raw JSON
- 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 |
|---|---|
| "beach hotel" / "海边酒店" | --sort-type 2 |
| "cheap beach" / "便宜海边机票" | --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 |
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install beach-hotel - 安装完成后,直接呼叫该 Skill 的名称或使用
/beach-hotel触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
beach-hotel 是什么?
Book flights to beach hotels and seaside resort destinations. Also supports: flight booking, hotel reservation, train tickets, attraction tickets, itinerary... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。
如何安装 beach-hotel?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install beach-hotel」即可一键安装,无需额外配置。
beach-hotel 是免费的吗?
是的,beach-hotel 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
beach-hotel 支持哪些平台?
beach-hotel 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 beach-hotel?
由 dingtom336-gif(@dingtom336-gif)开发并维护,当前版本 v3.2.0。