Tennis Travel Rater

Evaluate tennis vacation destinations with structured scoring and recommendations.

Data Sources

This skill uses web search to collect flight price information. No external tools or installations are required.

Quick Start

1. 1. Extract destination info from user input
2. Confirm departure city (ask if not provided, default to Shanghai)
3. Ask user preferences (optional, use default weights if skipped)
4. Collect data for each dimension
5. Calculate weighted scores
6. Generate report using template

Scoring Dimensions

Dimension	Weight	Key Metrics
Transportation	25%	Flight price, frequency, ground transport
Accommodation

25% | Hotel price, rating, proximity to courts | | Weather | 20% | Temperature, precipitation, best season | | Facilities | 30% | Court quality, fees, coaching availability |

Custom Weights: If user has preferences, adjust weights as follows:

• - If user selects 2 priorities: 35% / 35% / 15% / 15% for top 2 and bottom 2
• If user selects 1 priority only: 35% / 21.7% / 21.7% / 21.6% (priority gets 35%, others equally split remaining 65%)
• If user selects no preference: Use default 25% / 25% / 25% / 25%

Dimension Details

Transportation (交通可达性)

• - Flight price: Round-trip cost from origin
• Frequency: Daily/weekly flights, flexibility
• Ground transport: Airport to court/hotel convenience

Accommodation (住宿条件)

• - Hotel price: Mid-range average per night
• Court-proximity: Walking distance or shuttle available
• Rating: Booking/TripAdvisor scores

Weather (天气适宜度)

• - Temperature: 15-28C optimal for outdoor tennis
• Precipitation: Rain probability impact
• Sunlight: Playable hours per day
• Best season: Recommended months

Facilities (球场质量)

• - Court types: Hard/clay/grass count and quality
• Fees: Hourly rental rates
• Amenities: Locker room, shower, racket rental
• Coaching: Pro coach availability and rates

Destination Types

Type	Characteristics	Best For
Training	Pro facilities, intensive atmosphere	Serious players
Resort

Leisure vibe, integrated vacation | Families/friends | | Scenic | Unique views, Instagram-worthy | Short trips | | Urban | City center, trendy | Business travelers |

Workflow

Step 1: Gather Information

Extract from user input:

• - Destination name (city/resort/court) - 从文字或链接中提取
• Travel dates/season
• Departure city
• Any links provided (Xiaohongshu, Instagram, etc.)

信息收集原则：

• - 链接访问失败不阻塞流程
• 从用户消息文字中提取目的地（如"富士山" 确定为"静冈"或"山梨"）
• 缺失信息先使用默认值，同时询问用户确认

Link Access Protocol

When user provides a link (e.g., Xiaohongshu, Instagram):

1. 1. Extract destination from user message text first

- Parse destination from message content (e.g., "富士山人生球场" Japan Shizuoka/Yamanashi) - This is the primary source - never rely solely on link access

1. 2. Optionally attempt to access the link (non-blocking, 10s timeout)

- Use WebFetch or browser automation - If successful supplement with additional details - If failed continue with text-extracted information

1. 3. Confirm with user if information is unclear

- Ask: "Detected you want to visit [destination]. Is this correct?" - Get confirmation before proceeding

1. 4. Never block on link failure

- Link access is supplementary only - Always proceed with text-extracted information - Missing details can be filled via user questions

If departure city unknown: Ask user or default to Shanghai (note in report).

Step 2: User Preferences (Optional)

Ask: "What's most important to you? (Choose up to 2)"

• - Flight convenience
• Hotel quality
• Weather
• Court facilities

If skipped, use default 25% weights.

Step 3: Data Collection

Dimension	Data Source	Fallback
Flights	flyai CLI (if installed) for real-time prices	WebSearch for reference prices
Hotels

Booking, TripAdvisor | WebSearch | | Weather | Historical climate data | - | | Courts | Built-in database, web search | - |

注意：如果 flyai CLI 未安装，将使用 WebSearch 获取参考价格，并在报告中标注数据来源。

Flight Search

Priority: Use flyai CLI for real-time prices if available

Step 1: Check if flyai is installed
CODEBLOCK0

Step 2: If installed, query real-time flight prices
CODEBLOCK1

Step 3: Parse results

• - Round-trip total price (for scoring)
• Top 3 cheapest options (for report)
• jumpUrl (booking link)

Fallback: If flyai is not installed

Use WebSearch to get reference prices:

• - Search query: INLINECODE0
• Label as "网络参考价（非实时）"
• Note in report: "Install flyai CLI for real-time prices: npm install -g @fly-ai/flyai-cli"

Data Source Labels:

Label	Condition	Scoring Impact
flyai实时	flyai CLI executed successfully	Full score
网络参考

WebSearch used (flyai not installed) | -1 point (max 8/10) |
| 待补充 | All methods failed | Max 5/10 |

Rules:

• - Never invent flight prices
• Always label data source clearly

Step 4: Scoring

Each dimension scored 0-10:

• - 9-10: Excellent
• 7-8: Good
• 5-6: Average
• <5: Poor

Final Score = (dimension_score weight)

Step 5: Report Generation

Use report-template.md for full template.

For single destination: Use single-destination template
For multiple destinations: Use comparison template

Report Structure

CODEBLOCK2

Report Footer - Price Monitoring (REQUIRED)

ALWAYS include this section at the end of every report:

CODEBLOCK3

触发条件（满足任一即需添加）：

1. 1. 用户没有设置具体出行日期
2. 计划出行时间距离今天 >15天

如果用户同意监控：

1. 1. 询问：出发城市、目的地、偏好月份、预算上限
2. 手动价格检查：在当前会话中使用 WebSearch 或 flyai CLI 查询当前价格
3. 提供建议：根据查询结果给出购票建议，但不创建自动监控任务
4. 确认已提供价格信息

如果用户拒绝：正常结束，无需进一步操作

注意：本 skill 不创建自动后台监控任务。如需持续监控，请手动定期查询。

Built-in Database

Quick reference for popular destinations:

Asia: Sanya Haitang Bay, Shanghai Qizhong, Tokyo Ariake, Bali
Europe: Roland Garros, Wimbledon, Monte Carlo, Barcelona
Americas: Indian Wells, Miami, Cancun
Oceania: Melbourne Park, Gold Coast

For full database, see destinations.md.

Key Principles

1. 1. No data, no output - Mark missing data as "待补充"
2. Label all prices as "参考价" (reference only)
3. Highlight data sources for transparency
4. Never invent flight prices, hotel ratings, or any destination details
5. Link fails Ask user - When cannot access user-provided links, always ask for direct input instead of guessing

Anti-Hallucination Checklist

Before generating report, verify:

• - [ ] 航班价格：来自flyai实时查询（Bash工具），或已标记为"待补充/网络参考价"
• [ ] 未使用WebSearch冒充flyai：没有用网络搜索价格冒充实时查询结果
• [ ] All ratings are from real platforms or marked "待补充"
• [ ] No information invented when link access failed
• [ ] User provided destination name (not guessed from failed link)
• [ ] Data sources clearly labeled in report

航班数据专项核查

必须确认：

• - 已检查 flyai CLI 是否可用
• 如可用，已使用 Bash 工具执行 flyai 命令
• 如不可用，已使用 WebSearch 获取参考价格
• 交通维度评分基于实际获取的价格数据
• 数据来源已清晰标注（flyai实时/网络参考/待补充）

Price Monitoring Guide (MANDATORY)

When to Include

MUST include price monitoring section in EVERY report when:

• - User has not set specific travel dates, OR
• Travel date is >15 days away from today

Where to Include

ALWAYS add at the END of the report, after the budget estimate section:

CODEBLOCK4

If User Agrees

1. 1. Ask for details:

- Departure city (confirm) - Destination (confirm) - Preferred travel months - Budget limit for round-trip flights

1. 2. Perform immediate price check (no automatic monitoring):

- Use WebSearch or flyai CLI to check current prices - Compare with user's budget - Provide booking recommendation based on current data

1. 3. Confirm to user:

CODEBLOCK5

If User Declines

Continue normally, no further action needed.

Examples

Example 1 - Basic query (flyai installed):
Input: "Evaluate Sanya for tennis trip from Shanghai in April"
Workflow:

1. 1. Ask departure city Shanghai
2. Ask preferences User selects "Weather" and "Facilities"
3. Check if flyai is installed Yes
4. Query real-time flights:

   flyai search-flight --origin "上海" --destination "三亚" --dep-date-start 2025-04-01 --dep-date-end 2025-04-07 --back-date-start 2025-04-05 --back-date-end 2025-04-12 --sort-type 3
   

1. 5. Parse price (1,580) Score transportation dimension
2. Search hotels, weather, court info
3. Generate report with weights: Weather 35%, Facilities 35%, Transportation 15%, Accommodation 15%

Output: Full report with 8.2/10 score (transportation based on flyai real-time price)

Example 1b - flyai not installed:
Input: "Evaluate Sanya for tennis trip from Shanghai in April"
Workflow:
1-2. Same as above

1. 3. Check if flyai is installed No
2. Use WebSearch fallback:

- Search: "上海到三亚机票价格"
- Get reference price: 1,200-2,000
- Label as "网络参考价（非实时）"

1. 5. Score transportation dimension (max 8/10 due to reference data)
2. Continue with other data collection
3. Generate report with note: "Install flyai CLI for real-time prices"

Output: Report with reference prices and installation suggestion

Example 2 - Comparison:
Input: "Compare Sanya vs Bali for tennis vacation"
Output: Side-by-side comparison with recommendation

Example 3 - Custom weights (single priority):
Input: "I care most about flight convenience"
Workflow:

1. 1. User selects only 1 priority: "Transportation"
2. Weights: Transportation 35%, Accommodation 21.7%, Weather 21.7%, Facilities 21.6%
3. Check flyai availability Query flights if installed, else use WebSearch
4. Score transportation based on available data source

Output: Report with Transportation 35%, others equally split

Example 4 - User provides Xiaohongshu link:
Input: "我想去这里打球：96 【富士山人生球场！...】https://www.xiaohongshu.com/..."
Workflow:

1. 1. Extract destination from text first:

- Parse "富士山人生球场" Japan Shizuoka/Yamanashi region
- Text extraction is primary - link access is optional

1. 2. Optionally attempt link access Failed (Xiaohongshu anti-scraping)

- Continue with text-extracted information

1. 3. Confirm with user: "Detected you want to visit a court near Mt. Fuji (Shizuoka area). Default departure city: Shanghai. Is this correct?"
2. After user confirms, check flyai availability:

- If installed Query real-time flights
- If not installed Use WebSearch for reference prices

1. 5. Generate report with clear data source labels

Output: Complete report with transportation data (source clearly labeled)