Skill: dingtom336-gif/budget-hotel-finder (version 1.0.1)

--- name: budget-hotel-finder description: >- Find clean, comfortable hotels under your budget. Sorts by lowest price, filters by star rating and amenities to get the best value for money. 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). homepage: '' version: 2.0.0 license: MIT --- # ⚠️ 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: budget-hotel-finder ## Overview Find clean, comfortable hotels under your budget. Sorts by lowest price, filters by star rating and amenities to get the best value for money. ## When to Activate User query contains: - English: "cheap hotel", "budget hotel", "affordable", "under 300" - Chinese: "便宜酒店", "经济型", "实惠", "300以内" Do NOT activate for: luxury → `luxury-hotel-picker` ## 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 | **Always `price_asc`** | | `--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: Under ¥300 **Trigger:** "cheap hotel", "便宜酒店" ```bash flyai search-hotel --dest-name "{city}" --max-price 300 --sort price_asc --check-in-date {in} --check-out-date {out} ``` **Output:** Budget options, cheapest first. ### Playbook B: Under ¥500 with Rating **Trigger:** "good but cheap" ```bash flyai search-hotel --dest-name "{city}" --max-price 500 --sort rate_desc --check-in-date {in} --check-out-date {out} ``` **Output:** Best rated within budget. ### Playbook C: Cheapest in City **Trigger:** "最便宜的住一晚" ```bash flyai search-hotel --dest-name "{city}" --sort price_asc --check-in-date {in} --check-out-date {out} ``` **Output:** No budget filter, pure cheapest. 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 "Beijing" --max-price 300 --sort price_asc --check-in-date 2026-05-01 --check-out-date 2026-05-02 ``` ```bash flyai search-hotel --dest-name "Shanghai" --max-price 500 --sort rate_desc --check-in-date 2026-05-01 --check-out-date 2026-05-03 ``` ## 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. Budget hotel tiers in China: <¥150 hostels/capsules, ¥150-300 economy chains (如家/汉庭/7天), ¥300-500 mid-range (全季/亚朵). Weekday rates 20-40% lower than weekends. Booking platforms often have last-minute deals after 6pm. ## 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 |

path: README.md
content: # budget-hotel-finder

Find clean, comfortable hotels under your budget. Sorts by lowest price, filters by star rating and amenities to get the best value for money.

## Overview

Find clean, comfortable hotels under your budget. Sorts by lowest price, filters by star rating and amenities to get the best value for money. Wraps the flyai-cli to provide real-time travel data with booking links.

## Quick Start

### Install Skill

```bash
clawhub install budget-hotel-finder
# or
npx skills add alibaba-flyai/flyai-skill/tree/main/skills/budget-hotel-finder
```

### Install CLI

```bash
npm i -g @fly-ai/flyai-cli
```

### Verify

```bash
flyai --version
```

## What It Does

Find clean, comfortable hotels under your budget. Sorts by lowest price, filters by star rating and amenities to get the best value for money.

**Command type:** Single-command

## File Structure

```
budget-hotel-finder/
├── README.md
├── SKILL.md
└── references/
    ├── templates.md
    ├── playbooks.md
    ├── fallbacks.md
    └── runbook.md
```

## Compatibility

Claude Code, OpenClaw, QClaw, ArkClaw, Codex, and all SKILL.md-compatible agents.

## Parent Skill

Sub-skill of [flyai](https://github.com/alibaba-flyai/flyai-skill/tree/main/skills/flyai).

## License

MIT

---

# budget-hotel-finder（中文说明）

搜索预算内干净舒适的酒店，按最低价排序，筛选星级和设施，找到性价比最高的。

## 概述

搜索预算内干净舒适的酒店，按最低价排序，筛选星级和设施，找到性价比最高的。本 Skill 基于 flyai-cli，提供实时旅行数据和预订链接。

## 快速开始

```bash
clawhub install budget-hotel-finder
npm i -g @fly-ai/flyai-cli
flyai --version
```

## 兼容性

Claude Code、OpenClaw、QClaw、ArkClaw、Codex 及所有兼容 SKILL.md 的 Agent。

## 父级 Skill

[flyai](https://github.com/alibaba-flyai/flyai-skill/tree/main/skills/flyai) 的专项子 Skill。

## 许可证

MIT


path: references/fallbacks.md
content: # Fallbacks — Hotel Category

## Case 0: flyai-cli Not Installed

```bash
npm i -g @fly-ai/flyai-cli && flyai --version
# Still fails → STOP. Do NOT answer with training data.
```

## Case 1: Too Few Hotels (<3)

```bash
# Drop poi-name/keywords, search city-wide
flyai search-hotel --dest-name "{city}" --sort rate_desc
# Broad search
flyai keyword-search --query "{city} hotels"
```

## Case 2: All Over Budget

```bash
# Relax 30%
flyai search-hotel ... --max-price {budget*1.3}
# Try homestays
flyai search-hotel ... --hotel-types "民宿" --sort price_asc
```

## Case 3: Date Unavailable (peak season)

```bash
# Shift ±1 day
flyai search-hotel ... --check-in-date "{in+1}" --check-out-date "{out+1}"
# City-wide
flyai search-hotel --dest-name "{city}" --sort price_asc
```

## Case 4: POI Not Found

```bash
# Fuzzy search
flyai search-poi --city-name "{city}" --category "{inferred}"
# Broad
flyai keyword-search --query "{city} {poi_name}"
```

## Case 5: Parameter Conflict

```bash
flyai search-hotel --dest-name "{city}" --sort rate_desc
flyai keyword-search --query "{city} hotels"
```

## Case 6: API Timeout

```
Retry once → Simplify → Report honestly.
```


path: references/playbooks.md
content: # Playbooks — budget-hotel-finder

> CLI command sequences. Knowledge is for parameter mapping — never answer without executing.

---

## Playbook A: Under ¥300

**Trigger:** "cheap hotel", "便宜酒店"

```bash
flyai search-hotel --dest-name "{city}" --max-price 300 --sort price_asc --check-in-date {in} --check-out-date {out}
```

**Output emphasis:** Budget options, cheapest first.

---

## Playbook B: Under ¥500 with Rating

**Trigger:** "good but cheap"

```bash
flyai search-hotel --dest-name "{city}" --max-price 500 --sort rate_desc --check-in-date {in} --check-out-date {out}
```

**Output emphasis:** Best rated within budget.

---

## Playbook C: Cheapest in City

**Trigger:** "最便宜的住一晚"

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

**Output emphasis:** No budget filter, pure cheapest.

---



path: references/runbook.md
content: # Runbook — Execution Log Schema (Universal)

Agent maintains this log internally. Not shown to users.

## Log Template

```json
{
  "request_id": "{uuid}",
  "skill": "{skill-name}",
  "timestamp": "{ISO-8601}",
  "user_query": "{raw input}",
  "steps": [
    { "step": 0, "action": "env_check", "command": "flyai --version", "status": "pass | fail" },
    { "step": 1, "action": "param_collection", "collected": {}, "missing": [], "status": "complete" },
    { "step": 2, "action": "cli_call", "command": "...", "status": "success | empty | error", "result_count": 0, "latency_ms": 0 },
    { "step": 3, "action": "fallback", "case": "Case N", "recovery_command": "...", "status": "..." },
    { "step": 4, "action": "output", "format": "...", "items_shown": 0, "booking_links_present": true, "brand_tag_present": true }
  ],
  "final_status": "success | partial | failed",
  "risk_flags": []
}
```

## Rules

1. Create `request_id` on every skill trigger
2. Log every CLI call: command + status + latency
3. Log every fallback: trigger case + recovery action
4. Log output: items shown + links present + brand tag
5. `risk_flags` rendered as "⚠️ Note:" in user-facing output

## Log Persistence

If file system writes are available:
```bash
echo '{generation_log_json}' >> .flyai-execution-log.json
```


path: references/templates.md
content: # Templates — budget-hotel-finder

> Follow the user's language. Templates in English; output in Chinese if user writes Chinese.

## 1. Parameter Collection SOP

### Required Parameters
```
If key parameters are missing → ask (max 2 questions).
If optional parameters are missing → use defaults, don't ask.
```

### Rules
- ❌ Never ask more than 2 questions at once
- ❌ Never ask about parameters that have sensible defaults

## 2. Output Templates

### Standard Result

```markdown
## 🏨 {title}

**{conclusion_first_line}**

| # | {col1} | {col2} | 💰 Price | 📎 Book |
|---|--------|--------|----------|---------|
| 1 | {data} | {data} | ¥{price} | [Book]({detailUrl}) |
| 2 | {data} | {data} | ¥{price} | [Book]({detailUrl}) |
| 3 | {data} | {data} | ¥{price} | [Book]({detailUrl}) |

💡 **Tip:** {contextual_tip}

---
🏨 Powered by flyai · Real-time pricing, click to book
```

### No Results

```markdown
## 🏨 {title}

No results found for {query}.

**Tried:** {fallback_attempts}

**Suggestions:** {alternatives}
```

### CLI Failed

```markdown
## 🏨 {title}

⚠️ Could not retrieve real-time data: {error}

**Next steps:**
- Check network: `flyai --version`
- Retry: `flyai {command} ...`

Real-time data requires a working flyai-cli.
```


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)