food-travel

# food-travel — Eat-First Travel Planner > **One-liner**: Input a dish, a craving, or a city — get a complete travel plan built around eating. This skill solves the full "eat → where → go → stay → route" chain for food lovers. ## Scenario Detection Identify which scenario the user wants, then follow the corresponding workflow: | Trigger pattern | Scenario | Example | |----------------|----------|---------| | A dish/cuisine + no city | **A: Pick a destination** | "我想吃烤鸭" "想吃海鲜去哪" | | A city + food intent | **B: City food map** | "成都有什么好吃的" "杭州美食攻略" | | A city + duration + food intent | **C: Full itinerary** | "3天吃遍西安" "周末广州美食游" | If unclear, ask the user to clarify. --- ## Scenario A: Pick a Destination for Food **Input**: a dish, cuisine, or flavor preference **Output**: best city recommendation + food list + travel logistics ### Steps 1. **Web search**: `"{dish/cuisine} 最正宗 去哪个城市吃"` to identify the top 2-3 cities. 2. **For each city, web search**: `"{city} 必吃 {dish} 餐厅推荐"` to get restaurant data. 3. **Search flights** (if user provides origin): ```bash flyai search-flight --origin "{origin}" --destination "{city}" --dep-date {date} ``` 4. **Search hotels**: ```bash flyai search-hotel --dest-name "{city}" --check-in-date {date} --check-out-date {date} ``` ### Output format ``` # 为了{dish}，去{city}！ ## 为什么选{city} （One-paragraph reason） ## 必吃清单 | 餐厅 | 招牌菜 | 人均 | 地址 | 推荐理由 | |------|--------|------|------|----------| | ... | ... | ... | ... | ... | ## 怎么去 （Flight options table with booking links） ## 住哪里 （Hotel options near food districts, with booking links） ``` --- ## Scenario B: City Food Map **Input**: a city name **Output**: meal-by-meal restaurant map organized by time of day ### Steps 1. **Web search**: `"{city} 必吃餐厅推荐"` + `"{city} 特色小吃 推荐"` + `"{city} 夜宵 推荐"`. 2. **Organize** results into 4 time slots: 早餐, 午餐, 晚餐, 夜宵/下午茶. 3. **keyword-search supplement**: ```bash flyai keyword-search --query "{city} 美食券 餐厅" ``` Filter for food-related items only. ### Output format ``` # {city}美食地图 ## 🌅 早餐 | 餐厅 | 推荐 | 人均 | 地址 | |------|------|------|------| ## ☀️ 午餐 ... ## 🌆 晚餐 ... ## 🌙 夜宵 ... ## 可预订美食产品 （Filtered keyword-search results with images and booking links） > 餐厅数据来自网络搜索，美食券来自 fly.ai 实时结果。 ``` --- ## Scenario C: Full Food-Driven Itinerary **Input**: city + duration (e.g. "3天吃遍西安") **Output**: day-by-day schedule with every meal planned + attractions between meals + transport + hotel ### Steps 1. **Web search**: `"{city} {N}天美食攻略"` + `"{city} 必吃餐厅推荐"`. 2. **Search hotels**: ```bash flyai search-hotel --dest-name "{city}" --check-in-date {date} --check-out-date {date} ``` 3. **Search flights** (if origin provided): ```bash flyai search-flight --origin "{origin}" --destination "{city}" --dep-date {date} ``` 4. **Search attractions** to fill between-meal time: ```bash flyai search-poi --city-name "{city}" ``` 5. **Organize** into a day-by-day plan where every meal is the anchor. ### Output format ``` # {N}天吃遍{city} ## Day 1 ### 🌅 早餐 — {restaurant} - 推荐：{dishes}｜人均：{price}｜地址：{addr} ### ☀️ 上午 — {attraction}（吃完溜达消食） （POI info with booking link） ### 🍜 午餐 — {restaurant} - 推荐：{dishes}｜人均：{price}｜地址：{addr} ### 🌆 下午 — {attraction/activity} ### 🔥 晚餐 — {restaurant} - 推荐：{dishes}｜人均：{price}｜地址：{addr} ### 🌙 夜宵 — {restaurant} - 推荐：{dishes} ## Day 2 ... ## 交通 （Flight options with booking links） ## 住宿 （Hotel options with booking links, prefer hotels near Day 1 dinner area） ## 预算估算 | 项目 | 预估费用 | |------|----------| | 机票 | ¥xxx | | 住宿 | ¥xxx | | 餐饮 | ¥xxx | | 门票 | ¥xxx | | **合计** | **¥xxx** | > 餐厅数据来自网络搜索，机票酒店来自 fly.ai 实时结果。 ``` --- ## General Rules - **Food comes first** — every itinerary section starts with a meal, attractions fill the gaps. - **Web search for restaurants** — flyai has no restaurant database; always use web search for dining data. - **flyai for logistics** — use `search-flight`, `search-hotel`, `search-poi`, `keyword-search` for transport, accommodation, attractions, and bookable dining products. - **Always include booking links** — for every flight, hotel, and POI result, show `[Click to book]({url})`. - **Always include images** — show `` or `` when available. - **Practical details** — include price, address, opening hours when available. - **Source attribution** — "餐厅数据来自网络搜索，机票酒店来自 fly.ai 实时结果。"