# Extended Stay

> Find serviced apartments and hotels for extended stays — weekly or monthly rates, kitchenettes, laundry, and home-like amenities for long-term travelers. 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).

- Skill: `lord1egypt/extended-stay` (Agent Skill)
- Install (CLI): `npx skillmds@latest add lord1egypt/extended-stay`
- Raw SKILL.md: https://api.skillmd.com/api/skills/lord1egypt/extended-stay/raw
- Safety review: pending (external: skill-scanner PASS, skillspector CAUTION)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: Lord1Egypt (https://skillmd.com/u/lord1egypt)
- Updated: 2026-09-08
- Page: https://skillmd.com/skills/lord1egypt/extended-stay

---


# ⚠️ 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: extended-stay

## Overview

Find serviced apartments and hotels for extended stays — weekly or monthly rates, kitchenettes, laundry, and home-like amenities for long-term travelers.

## When to Activate

User query contains:
- English: "long stay", "monthly", "extended stay", "apartment", "weekly rate"
- Chinese: "长住", "月租", "长租公寓", "服务式公寓"

Do NOT activate for: short stay → `budget-hotel`

## Prerequisites

```bash
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: `price_asc` (best long-term value) |
| `--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 — Single-command

### Step 0: Environment Check (mandatory, never skip)

```bash
flyai --version
```

- ✅ Returns version → proceed to Step 1
- ❌ `command not found` →

```bash
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](references/templates.md) for parameter collection SOP.

### Step 2: Execute CLI Commands

### Playbook A: Monthly Stay

**Trigger:** "monthly rental", "月租"

```bash
flyai search-hotel --dest-name "{city}" --key-words "长租" --sort price_asc --check-in-date {in} --check-out-date {out}
```

**Output:** Long-stay options, cheapest first.

### Playbook B: Serviced Apartment

**Trigger:** "serviced apartment"

```bash
flyai search-hotel --dest-name "{city}" --key-words "服务式公寓" --sort rate_desc --check-in-date {in} --check-out-date {out}
```

**Output:** Apartment-style with hotel services.

### Playbook C: With Kitchen

**Trigger:** "有厨房的住宿"

```bash
flyai search-hotel --dest-name "{city}" --key-words "厨房" --sort price_asc --check-in-date {in} --check-out-date {out}
```

**Output:** Accommodation with cooking facilities.


See [references/playbooks.md](references/playbooks.md) for all scenario playbooks.

On failure → see [references/fallbacks.md](references/fallbacks.md).

### Step 3: Format Output

Format CLI JSON into user-readable Markdown with booking links. See [references/templates.md](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

```bash
flyai search-hotel --dest-name "Shanghai" --key-words "长租" --sort price_asc --check-in-date 2026-05-01 --check-out-date 2026-06-01
```

## 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.

Long-stay tips: negotiate directly for stays >7 nights (20-40% discount typical). Serviced apartments often cheaper than hotels for 2+ weeks. Check: kitchen facilities, laundry, WiFi speed, workspace. Popular platforms for monthly: Ziroom, locals' recommendations.

## References

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