Analyze weather data impact on construction schedules. Predict weather delays, optimize work scheduling based on forecasts, and calculate weather-related risk factors for project planning.
SkillScore84Maintained
Automatic
◆Project Management pack
Last verified 8/22/2026
What it changes
Passed 21 of 25 test cases with the skill, and 6 of 25 without it.
Without skill24%
With skill84%
Checks it passed that the model alone missed
Identifies excavation as frost sensitive
Identifies forecast cache duration as 1 hour
Classifies 65mm heavy rain as EXTREME severity
and 17 more in the full report
15 fixed6 passed either way4 still failing0 broke
Pass-rate lift
+60 pp
Tokens
+379%
Agent turns
0%
Response time
-30%
Model gemini-3.6-flashMeasured 8/22/2026v121 of 25 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 15
Prompt
To prevent exceeding weather API rate limits, forecast responses are cached in memory. What is the cache expiration duration implemented for location forecast queries?
What was checked, without and with the skill
Checked
Without skill
With skill
Identifies forecast cache duration as 1 hour
Missed
Passed
case-15 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md733 linessingle file
Weather Impact Analysis
Overview
This skill implements weather data analysis for construction project management. Integrate weather forecasts, historical data, and activity sensitivity to predict delays and optimize scheduling.
Capabilities:
Weather forecast integration
Activity weather sensitivity mapping
Delay prediction and quantification
Schedule optimization based on weather
Historical weather impact analysis
Risk factor calculation
Quick Start
from dataclasses import dataclass
from datetime import date, datetime, timedelta
from typing import List, Dict, Optional
from enum import Enum
import requests
class WeatherCondition(Enum):
CLEAR = "clear"
CLOUDY = "cloudy"
RAIN = "rain"
HEAVY_RAIN = "heavy_rain"
SNOW = "snow"
FROST = "frost"
HIGH_WIND = "high_wind"
EXTREME_HEAT = "extreme_heat"
EXTREME_COLD = "extreme_cold"
@dataclass
class WeatherDay:
date: date
condition: WeatherCondition
temp_high: float
temp_low: float
Automatically invoke this skill whenever the user asks about Fabric tenant settings or Power BI tenant settings or auditing tenant settings. You can use this skill if the user mentions "Fabric administration".