{ "schemaVersion": "1.0", "item": { "slug": "weather-api-1", "name": "Weather Api 1", "source": "tencent", "type": "skill", "category": "开发工具", "sourceUrl": "https://clawhub.ai/phucanh08/weather-api-1", "canonicalUrl": "https://clawhub.ai/phucanh08/weather-api-1", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/weather-api-1", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=weather-api-1", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "SKILL.md", "_meta.json" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "slug": "weather-api-1", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-05-10T20:55:04.973Z", "expiresAt": "2026-05-17T20:55:04.973Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=weather-api-1", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=weather-api-1", "contentDisposition": "attachment; filename=\"weather-api-1-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null, "slug": "weather-api-1" }, "scope": "item", "summary": "Item download looks usable.", "detail": "Yavira can redirect you to the upstream package for this item.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/weather-api-1" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/weather-api-1", "agentPageUrl": "https://openagent3.xyz/skills/weather-api-1/agent", "manifestUrl": "https://openagent3.xyz/skills/weather-api-1/agent.json", "briefUrl": "https://openagent3.xyz/skills/weather-api-1/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Overview", "body": "Weather impacts 50% of construction activities. This skill fetches weather data for scheduling, risk assessment, and productivity adjustments." }, { "title": "Python Implementation", "body": "import requests\nimport pandas as pd\nfrom typing import Dict, Any, List, Optional\nfrom dataclasses import dataclass\nfrom datetime import datetime, timedelta\nfrom enum import Enum\n\n\nclass WeatherRisk(Enum):\n \"\"\"Weather risk levels for construction.\"\"\"\n LOW = \"low\"\n MODERATE = \"moderate\"\n HIGH = \"high\"\n CRITICAL = \"critical\"\n\n\n@dataclass\nclass WeatherCondition:\n \"\"\"Weather condition at a point in time.\"\"\"\n timestamp: datetime\n temperature: float # Celsius\n humidity: float # Percent\n wind_speed: float # m/s\n precipitation: float # mm\n conditions: str\n\n\n@dataclass\nclass WorkabilityAssessment:\n \"\"\"Assessment of weather workability.\"\"\"\n date: datetime\n risk_level: WeatherRisk\n workable_hours: int\n affected_activities: List[str]\n recommendations: List[str]\n\n\nclass WeatherAPIClient:\n \"\"\"Client for weather APIs.\"\"\"\n\n # Free tier endpoints\n OPEN_METEO_BASE = \"https://api.open-meteo.com/v1\"\n\n def __init__(self, api_key: Optional[str] = None):\n self.api_key = api_key\n\n def get_forecast(self, latitude: float, longitude: float,\n days: int = 7) -> List[WeatherCondition]:\n \"\"\"Get weather forecast.\"\"\"\n url = f\"{self.OPEN_METEO_BASE}/forecast\"\n params = {\n 'latitude': latitude,\n 'longitude': longitude,\n 'hourly': 'temperature_2m,relative_humidity_2m,wind_speed_10m,precipitation',\n 'forecast_days': days\n }\n\n response = requests.get(url, params=params)\n if response.status_code != 200:\n raise Exception(f\"API error: {response.status_code}\")\n\n data = response.json()\n return self._parse_forecast(data)\n\n def get_historical(self, latitude: float, longitude: float,\n start_date: str, end_date: str) -> List[WeatherCondition]:\n \"\"\"Get historical weather data.\"\"\"\n url = f\"{self.OPEN_METEO_BASE}/archive\"\n params = {\n 'latitude': latitude,\n 'longitude': longitude,\n 'start_date': start_date,\n 'end_date': end_date,\n 'hourly': 'temperature_2m,relative_humidity_2m,wind_speed_10m,precipitation'\n }\n\n response = requests.get(url, params=params)\n if response.status_code != 200:\n raise Exception(f\"API error: {response.status_code}\")\n\n data = response.json()\n return self._parse_forecast(data)\n\n def _parse_forecast(self, data: Dict) -> List[WeatherCondition]:\n \"\"\"Parse API response to WeatherCondition list.\"\"\"\n conditions = []\n hourly = data.get('hourly', {})\n\n times = hourly.get('time', [])\n temps = hourly.get('temperature_2m', [])\n humidity = hourly.get('relative_humidity_2m', [])\n wind = hourly.get('wind_speed_10m', [])\n precip = hourly.get('precipitation', [])\n\n for i in range(len(times)):\n conditions.append(WeatherCondition(\n timestamp=datetime.fromisoformat(times[i]),\n temperature=temps[i] if i < len(temps) else 0,\n humidity=humidity[i] if i < len(humidity) else 0,\n wind_speed=wind[i] if i < len(wind) else 0,\n precipitation=precip[i] if i < len(precip) else 0,\n conditions=self._describe_conditions(\n temps[i] if i < len(temps) else 0,\n precip[i] if i < len(precip) else 0,\n wind[i] if i < len(wind) else 0\n )\n ))\n\n return conditions\n\n def _describe_conditions(self, temp: float, precip: float, wind: float) -> str:\n \"\"\"Generate weather description.\"\"\"\n conditions = []\n\n if temp < 0:\n conditions.append(\"Freezing\")\n elif temp > 35:\n conditions.append(\"Extreme heat\")\n elif temp > 30:\n conditions.append(\"Hot\")\n elif temp < 10:\n conditions.append(\"Cold\")\n\n if precip > 10:\n conditions.append(\"Heavy rain\")\n elif precip > 2:\n conditions.append(\"Rain\")\n elif precip > 0:\n conditions.append(\"Light rain\")\n\n if wind > 15:\n conditions.append(\"Strong winds\")\n elif wind > 10:\n conditions.append(\"Windy\")\n\n return \", \".join(conditions) if conditions else \"Clear\"\n\n def to_dataframe(self, conditions: List[WeatherCondition]) -> pd.DataFrame:\n \"\"\"Convert conditions to DataFrame.\"\"\"\n data = [{\n 'timestamp': c.timestamp,\n 'temperature': c.temperature,\n 'humidity': c.humidity,\n 'wind_speed': c.wind_speed,\n 'precipitation': c.precipitation,\n 'conditions': c.conditions\n } for c in conditions]\n return pd.DataFrame(data)\n\n\nclass ConstructionWeatherRisk:\n \"\"\"Assess weather risk for construction activities.\"\"\"\n\n # Activity-specific thresholds\n THRESHOLDS = {\n 'concrete_pour': {\n 'min_temp': 5, 'max_temp': 35,\n 'max_wind': 12, 'max_precip': 0.5\n },\n 'crane_work': {\n 'min_temp': -10, 'max_temp': 40,\n 'max_wind': 10, 'max_precip': 5\n },\n 'exterior_paint': {\n 'min_temp': 10, 'max_temp': 35,\n 'max_wind': 8, 'max_precip': 0\n },\n 'roofing': {\n 'min_temp': 5, 'max_temp': 38,\n 'max_wind': 12, 'max_precip': 0\n },\n 'earthwork': {\n 'min_temp': -5, 'max_temp': 40,\n 'max_wind': 20, 'max_precip': 10\n }\n }\n\n def assess_workability(self, condition: WeatherCondition,\n activities: List[str] = None) -> WorkabilityAssessment:\n \"\"\"Assess workability for given conditions.\"\"\"\n\n if activities is None:\n activities = list(self.THRESHOLDS.keys())\n\n affected = []\n recommendations = []\n\n for activity in activities:\n if activity in self.THRESHOLDS:\n thresh = self.THRESHOLDS[activity]\n\n reasons = []\n if condition.temperature < thresh['min_temp']:\n reasons.append(f\"Too cold ({condition.temperature}°C)\")\n if condition.temperature > thresh['max_temp']:\n reasons.append(f\"Too hot ({condition.temperature}°C)\")\n if condition.wind_speed > thresh['max_wind']:\n reasons.append(f\"High wind ({condition.wind_speed} m/s)\")\n if condition.precipitation > thresh['max_precip']:\n reasons.append(f\"Precipitation ({condition.precipitation} mm)\")\n\n if reasons:\n affected.append(activity)\n recommendations.append(f\"{activity}: \" + \", \".join(reasons))\n\n # Determine overall risk level\n if len(affected) >= len(activities) * 0.8:\n risk = WeatherRisk.CRITICAL\n workable = 0\n elif len(affected) >= len(activities) * 0.5:\n risk = WeatherRisk.HIGH\n workable = 4\n elif len(affected) > 0:\n risk = WeatherRisk.MODERATE\n workable = 6\n else:\n risk = WeatherRisk.LOW\n workable = 8\n\n return WorkabilityAssessment(\n date=condition.timestamp,\n risk_level=risk,\n workable_hours=workable,\n affected_activities=affected,\n recommendations=recommendations\n )\n\n def weekly_forecast_risk(self, conditions: List[WeatherCondition],\n activities: List[str] = None) -> pd.DataFrame:\n \"\"\"Assess risk for week of weather data.\"\"\"\n\n # Group by date\n daily_conditions = {}\n for c in conditions:\n date = c.timestamp.date()\n if date not in daily_conditions:\n daily_conditions[date] = []\n daily_conditions[date].append(c)\n\n assessments = []\n for date, day_conditions in daily_conditions.items():\n # Use midday condition as representative\n midday = [c for c in day_conditions\n if 10 <= c.timestamp.hour <= 16]\n representative = midday[len(midday)//2] if midday else day_conditions[0]\n\n assessment = self.assess_workability(representative, activities)\n assessments.append({\n 'date': date,\n 'risk_level': assessment.risk_level.value,\n 'workable_hours': assessment.workable_hours,\n 'affected_count': len(assessment.affected_activities)\n })\n\n return pd.DataFrame(assessments)" }, { "title": "Quick Start", "body": "# Initialize client\nweather = WeatherAPIClient()\n\n# Get forecast for site\nconditions = weather.get_forecast(latitude=52.52, longitude=13.41, days=7)\ndf = weather.to_dataframe(conditions)\nprint(df.head())\n\n# Assess construction risk\nrisk = ConstructionWeatherRisk()\nweekly_risk = risk.weekly_forecast_risk(conditions)\nprint(weekly_risk)" }, { "title": "1. Schedule Planning", "body": "conditions = weather.get_forecast(52.52, 13.41, days=14)\nrisk = ConstructionWeatherRisk()\n\n# Check concrete pour window\nfor c in conditions:\n assessment = risk.assess_workability(c, ['concrete_pour'])\n if assessment.risk_level == WeatherRisk.LOW:\n print(f\"Good for concrete: {c.timestamp}\")" }, { "title": "2. Historical Analysis", "body": "historical = weather.get_historical(52.52, 13.41, '2024-01-01', '2024-03-31')\ndf = weather.to_dataframe(historical)\n\n# Count rain days\nrain_days = df[df['precipitation'] > 2]['timestamp'].dt.date.nunique()\nprint(f\"Rain days in Q1: {rain_days}\")" }, { "title": "Resources", "body": "DDC Book: Chapter 2.2 - Open Data Integration\nOpen-Meteo API: https://open-meteo.com/" } ], "body": "Weather API for Construction\nOverview\n\nWeather impacts 50% of construction activities. This skill fetches weather data for scheduling, risk assessment, and productivity adjustments.\n\nPython Implementation\nimport requests\nimport pandas as pd\nfrom typing import Dict, Any, List, Optional\nfrom dataclasses import dataclass\nfrom datetime import datetime, timedelta\nfrom enum import Enum\n\n\nclass WeatherRisk(Enum):\n \"\"\"Weather risk levels for construction.\"\"\"\n LOW = \"low\"\n MODERATE = \"moderate\"\n HIGH = \"high\"\n CRITICAL = \"critical\"\n\n\n@dataclass\nclass WeatherCondition:\n \"\"\"Weather condition at a point in time.\"\"\"\n timestamp: datetime\n temperature: float # Celsius\n humidity: float # Percent\n wind_speed: float # m/s\n precipitation: float # mm\n conditions: str\n\n\n@dataclass\nclass WorkabilityAssessment:\n \"\"\"Assessment of weather workability.\"\"\"\n date: datetime\n risk_level: WeatherRisk\n workable_hours: int\n affected_activities: List[str]\n recommendations: List[str]\n\n\nclass WeatherAPIClient:\n \"\"\"Client for weather APIs.\"\"\"\n\n # Free tier endpoints\n OPEN_METEO_BASE = \"https://api.open-meteo.com/v1\"\n\n def __init__(self, api_key: Optional[str] = None):\n self.api_key = api_key\n\n def get_forecast(self, latitude: float, longitude: float,\n days: int = 7) -> List[WeatherCondition]:\n \"\"\"Get weather forecast.\"\"\"\n url = f\"{self.OPEN_METEO_BASE}/forecast\"\n params = {\n 'latitude': latitude,\n 'longitude': longitude,\n 'hourly': 'temperature_2m,relative_humidity_2m,wind_speed_10m,precipitation',\n 'forecast_days': days\n }\n\n response = requests.get(url, params=params)\n if response.status_code != 200:\n raise Exception(f\"API error: {response.status_code}\")\n\n data = response.json()\n return self._parse_forecast(data)\n\n def get_historical(self, latitude: float, longitude: float,\n start_date: str, end_date: str) -> List[WeatherCondition]:\n \"\"\"Get historical weather data.\"\"\"\n url = f\"{self.OPEN_METEO_BASE}/archive\"\n params = {\n 'latitude': latitude,\n 'longitude': longitude,\n 'start_date': start_date,\n 'end_date': end_date,\n 'hourly': 'temperature_2m,relative_humidity_2m,wind_speed_10m,precipitation'\n }\n\n response = requests.get(url, params=params)\n if response.status_code != 200:\n raise Exception(f\"API error: {response.status_code}\")\n\n data = response.json()\n return self._parse_forecast(data)\n\n def _parse_forecast(self, data: Dict) -> List[WeatherCondition]:\n \"\"\"Parse API response to WeatherCondition list.\"\"\"\n conditions = []\n hourly = data.get('hourly', {})\n\n times = hourly.get('time', [])\n temps = hourly.get('temperature_2m', [])\n humidity = hourly.get('relative_humidity_2m', [])\n wind = hourly.get('wind_speed_10m', [])\n precip = hourly.get('precipitation', [])\n\n for i in range(len(times)):\n conditions.append(WeatherCondition(\n timestamp=datetime.fromisoformat(times[i]),\n temperature=temps[i] if i < len(temps) else 0,\n humidity=humidity[i] if i < len(humidity) else 0,\n wind_speed=wind[i] if i < len(wind) else 0,\n precipitation=precip[i] if i < len(precip) else 0,\n conditions=self._describe_conditions(\n temps[i] if i < len(temps) else 0,\n precip[i] if i < len(precip) else 0,\n wind[i] if i < len(wind) else 0\n )\n ))\n\n return conditions\n\n def _describe_conditions(self, temp: float, precip: float, wind: float) -> str:\n \"\"\"Generate weather description.\"\"\"\n conditions = []\n\n if temp < 0:\n conditions.append(\"Freezing\")\n elif temp > 35:\n conditions.append(\"Extreme heat\")\n elif temp > 30:\n conditions.append(\"Hot\")\n elif temp < 10:\n conditions.append(\"Cold\")\n\n if precip > 10:\n conditions.append(\"Heavy rain\")\n elif precip > 2:\n conditions.append(\"Rain\")\n elif precip > 0:\n conditions.append(\"Light rain\")\n\n if wind > 15:\n conditions.append(\"Strong winds\")\n elif wind > 10:\n conditions.append(\"Windy\")\n\n return \", \".join(conditions) if conditions else \"Clear\"\n\n def to_dataframe(self, conditions: List[WeatherCondition]) -> pd.DataFrame:\n \"\"\"Convert conditions to DataFrame.\"\"\"\n data = [{\n 'timestamp': c.timestamp,\n 'temperature': c.temperature,\n 'humidity': c.humidity,\n 'wind_speed': c.wind_speed,\n 'precipitation': c.precipitation,\n 'conditions': c.conditions\n } for c in conditions]\n return pd.DataFrame(data)\n\n\nclass ConstructionWeatherRisk:\n \"\"\"Assess weather risk for construction activities.\"\"\"\n\n # Activity-specific thresholds\n THRESHOLDS = {\n 'concrete_pour': {\n 'min_temp': 5, 'max_temp': 35,\n 'max_wind': 12, 'max_precip': 0.5\n },\n 'crane_work': {\n 'min_temp': -10, 'max_temp': 40,\n 'max_wind': 10, 'max_precip': 5\n },\n 'exterior_paint': {\n 'min_temp': 10, 'max_temp': 35,\n 'max_wind': 8, 'max_precip': 0\n },\n 'roofing': {\n 'min_temp': 5, 'max_temp': 38,\n 'max_wind': 12, 'max_precip': 0\n },\n 'earthwork': {\n 'min_temp': -5, 'max_temp': 40,\n 'max_wind': 20, 'max_precip': 10\n }\n }\n\n def assess_workability(self, condition: WeatherCondition,\n activities: List[str] = None) -> WorkabilityAssessment:\n \"\"\"Assess workability for given conditions.\"\"\"\n\n if activities is None:\n activities = list(self.THRESHOLDS.keys())\n\n affected = []\n recommendations = []\n\n for activity in activities:\n if activity in self.THRESHOLDS:\n thresh = self.THRESHOLDS[activity]\n\n reasons = []\n if condition.temperature < thresh['min_temp']:\n reasons.append(f\"Too cold ({condition.temperature}°C)\")\n if condition.temperature > thresh['max_temp']:\n reasons.append(f\"Too hot ({condition.temperature}°C)\")\n if condition.wind_speed > thresh['max_wind']:\n reasons.append(f\"High wind ({condition.wind_speed} m/s)\")\n if condition.precipitation > thresh['max_precip']:\n reasons.append(f\"Precipitation ({condition.precipitation} mm)\")\n\n if reasons:\n affected.append(activity)\n recommendations.append(f\"{activity}: \" + \", \".join(reasons))\n\n # Determine overall risk level\n if len(affected) >= len(activities) * 0.8:\n risk = WeatherRisk.CRITICAL\n workable = 0\n elif len(affected) >= len(activities) * 0.5:\n risk = WeatherRisk.HIGH\n workable = 4\n elif len(affected) > 0:\n risk = WeatherRisk.MODERATE\n workable = 6\n else:\n risk = WeatherRisk.LOW\n workable = 8\n\n return WorkabilityAssessment(\n date=condition.timestamp,\n risk_level=risk,\n workable_hours=workable,\n affected_activities=affected,\n recommendations=recommendations\n )\n\n def weekly_forecast_risk(self, conditions: List[WeatherCondition],\n activities: List[str] = None) -> pd.DataFrame:\n \"\"\"Assess risk for week of weather data.\"\"\"\n\n # Group by date\n daily_conditions = {}\n for c in conditions:\n date = c.timestamp.date()\n if date not in daily_conditions:\n daily_conditions[date] = []\n daily_conditions[date].append(c)\n\n assessments = []\n for date, day_conditions in daily_conditions.items():\n # Use midday condition as representative\n midday = [c for c in day_conditions\n if 10 <= c.timestamp.hour <= 16]\n representative = midday[len(midday)//2] if midday else day_conditions[0]\n\n assessment = self.assess_workability(representative, activities)\n assessments.append({\n 'date': date,\n 'risk_level': assessment.risk_level.value,\n 'workable_hours': assessment.workable_hours,\n 'affected_count': len(assessment.affected_activities)\n })\n\n return pd.DataFrame(assessments)\n\nQuick Start\n# Initialize client\nweather = WeatherAPIClient()\n\n# Get forecast for site\nconditions = weather.get_forecast(latitude=52.52, longitude=13.41, days=7)\ndf = weather.to_dataframe(conditions)\nprint(df.head())\n\n# Assess construction risk\nrisk = ConstructionWeatherRisk()\nweekly_risk = risk.weekly_forecast_risk(conditions)\nprint(weekly_risk)\n\nCommon Use Cases\n1. Schedule Planning\nconditions = weather.get_forecast(52.52, 13.41, days=14)\nrisk = ConstructionWeatherRisk()\n\n# Check concrete pour window\nfor c in conditions:\n assessment = risk.assess_workability(c, ['concrete_pour'])\n if assessment.risk_level == WeatherRisk.LOW:\n print(f\"Good for concrete: {c.timestamp}\")\n\n2. Historical Analysis\nhistorical = weather.get_historical(52.52, 13.41, '2024-01-01', '2024-03-31')\ndf = weather.to_dataframe(historical)\n\n# Count rain days\nrain_days = df[df['precipitation'] > 2]['timestamp'].dt.date.nunique()\nprint(f\"Rain days in Q1: {rain_days}\")\n\nResources\nDDC Book: Chapter 2.2 - Open Data Integration\nOpen-Meteo API: https://open-meteo.com/" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/phucanh08/weather-api-1", "publisherUrl": "https://clawhub.ai/phucanh08/weather-api-1", "owner": "phucanh08", "version": "1.0.1", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/weather-api-1", "downloadUrl": "https://openagent3.xyz/downloads/weather-api-1", "agentUrl": "https://openagent3.xyz/skills/weather-api-1/agent", "manifestUrl": "https://openagent3.xyz/skills/weather-api-1/agent.json", "briefUrl": "https://openagent3.xyz/skills/weather-api-1/agent.md" } }