Ancient Inn
/install ancient-inn
⚠️ 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 command 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.
Self-test: If your response contains no [Book](...) links, you violated this skill. Stop and re-execute.
Skill: ancient-town-inn
Overview
Find traditional inns inside ancient towns and water villages — courtyard houses, wooden architecture, lantern-lit alleys, and old-world charm.
When to Activate
User query contains:
- English: "ancient town inn", "traditional inn", "old town stay"
- Chinese: "古镇客栈", "老镇住宿", "水乡客栈"
Do NOT activate for: modern hotel → budget-hotel-finder
Prerequisites
npm i -g @fly-ai/flyai-cli
Parameters
| Parameter | Required | Description |
|---|---|---|
--dest-name |
Yes | Destination city/area name |
--check-in-date |
No | Check-in date YYYY-MM-DD. Default: today |
--check-out-date |
No | Check-out date. Default: tomorrow |
--sort |
No | Default: rate_desc |
--key-words |
No | Search keywords for special requirements |
--poi-name |
No | Nearby attraction name (for distance-based search) |
--hotel-types |
No | 酒店/民宿/客栈 |
--hotel-stars |
No | Star rating 1-5, comma-separated |
--hotel-bed-types |
No | 大床房/双床房/多床房 |
--max-price |
No | Max price per night in CNY |
Sort Options
| Value | Meaning |
|---|---|
distance_asc |
Distance ascending |
rate_desc |
Rating descending |
price_asc |
Price ascending |
price_desc |
Price descending |
Core Workflow — Dual-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: Inn Inside Town
Trigger: "stay in ancient town"
flyai search-poi --city-name "{city}" --category "古镇古村" --keyword "{town}"
flyai search-hotels --dest-name "{town}" --hotel-types "客栈" --sort rate_desc
Output: Verify town → search inns inside.
Playbook B: Courtyard Inn
Trigger: "四合院客栈"
flyai search-hotels --dest-name "{town}" --hotel-types "客栈" --key-words "四合院" --sort rate_desc
Output: Traditional courtyard inns.
Playbook C: Budget Inn
Trigger: "cheap inn", "便宜客栈"
flyai search-hotels --dest-name "{town}" --hotel-types "客栈" --sort price_asc
Output: Affordable ancient town accommodation.
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-poi --city-name "Jiaxing" --keyword "Wuzhen"
flyai search-hotels --dest-name "Wuzhen" --hotel-types "客栈" --sort rate_desc
Output Rules
- Conclusion first — lead with the key finding
- 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
- ❌ 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.
Top ancient towns for inn stays: Wuzhen, Xitang, Zhouzhuang (water towns), Lijiang, Dali, Fenghuang (ethnic towns), Pingyao, Hongcun (historical towns). Stay inside the scenic area for best experience — some towns charge entry fees, staying inside gives free access. Book directly with inn for better rates.
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 ancient-inn - 安装完成后,直接呼叫该 Skill 的名称或使用
/ancient-inn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
Ancient Inn 是什么?
Find traditional inns inside ancient towns and water villages — courtyard houses, wooden architecture, lantern-lit alleys, and old-world charm. Also supports... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 120 次。
如何安装 Ancient Inn?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ancient-inn」即可一键安装,无需额外配置。
Ancient Inn 是免费的吗?
是的,Ancient Inn 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Ancient Inn 支持哪些平台?
Ancient Inn 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 Ancient Inn?
由 xiejinsong(@xiejinsong)开发并维护,当前版本 v3.2.0。