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food-finder
Smart nearby food recommendations based on current location, time of day, and weather
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Smart nearby food recommendations based on current location, time of day, and weather
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
Execute user instructions on the phone via ClawPaw MCP tools. Use when a user wants to do something on the phone — send a message, open an app, tap something, take a screenshot, etc.
Guide users through ClawPaw Android setup — installing the APK, granting permissions, connecting SSH tunnel, and verifying the full LLM-to-phone control chain. Use when a user wants to set up ClawPaw, install the app, connect a new phone, or troubleshoot connection issues.
Check, install, and activate ADBKeyboard for full Unicode/Chinese/emoji text input
Location check-in with auto photo, geocoding, weather, and a generated caption
End-of-day report with trajectory timeline, dwell-time stats, and notification summary
打开飞书并完成考勤打卡(上班/下班),支持迟到补卡。用户说"帮我打卡"、"飞书签到"时使用。
SOC 職業分類に基づく
| name | food-finder |
| description | Smart nearby food recommendations based on current location, time of day, and weather |
| metadata | {"openclaw":{"emoji":"🍜"}} |
Recommend nearby restaurants based on the user's current location, time of day, and weather conditions.
Call clawpaw_get_context to get:
Call clawpaw_weather (using current coordinates, forecast=false) for real-time weather.
Note the weather condition and temperature for recommendation adjustments.
Select search keywords based on time of day:
| Period | Time Range | Category | Keywords |
|---|---|---|---|
| Breakfast | 06:00-09:00 | Breakfast spots | 早餐 |
| Lunch | 11:00-13:30 | Full meals | 午餐 |
| Afternoon tea | 14:00-17:00 | Coffee, desserts | 咖啡厅 |
| Dinner | 17:30-20:00 | Full meals | 餐厅 |
| Late night | 20:00-02:00 | Late-night eats | 夜宵 |
| Other | 02:00-06:00 | 24h restaurants | 24小时餐饮 |
If the user mentions a specific cuisine (e.g. "hotpot", "coffee"), prioritize their preference over time-based defaults.
Call clawpaw_nearby with:
longitude / latitude: from contextkeywords: based on time period (or user preference)poi_type: 餐饮radius: adjust by weather
limit: 10Pick the TOP 5 results and format:
🍜 Based on your location and the time of day, here are some picks:
1. **Restaurant Name** — XXm away
⭐ X.X | 💰 ¥XX avg | 📞 phone
💡 [Reason tied to weather/time, e.g. "A warm bowl of soup on a rainy day"]
2. ...
Recommendation reasons should feel contextual: