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Killer-Skills

compare-weather — Categories.community

v1.0.0
GitHub

About this Skill

Perfect for Data Analysis Agents needing real-time weather comparison capabilities across multiple airports. A Vercel API that queries multiple weather sources. Generated using GitHub Copilot.

rorpage rorpage
[0]
[0]
Updated: 3/4/2026

Quality Score

Top 5%
57
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add rorpage/weather-api/compare-weather

Agent Capability Analysis

The compare-weather MCP Server by rorpage is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion.

Ideal Agent Persona

Perfect for Data Analysis Agents needing real-time weather comparison capabilities across multiple airports.

Core Value

Empowers agents to fetch and compare weather data silently from multiple sources using API calls, providing units conversion between metric and imperial systems, and utilizes GitHub Copilot for efficient code generation.

Capabilities Granted for compare-weather MCP Server

Comparing weather conditions at multiple airports
Generating weather forecasts for flight planning
Analyzing weather trends across different geographic locations

! Prerequisites & Limits

  • Requires Vercel API and GitHub Copilot setup
  • Dependent on API token for x-api-token authentication
  • Limited to airports with available weather data
Project
SKILL.md
1.2 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
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SKILL.md
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Compare Weather Across Multiple Airports

Compare weather at multiple airports: $ARGUMENTS

Instructions

IMPORTANT: Do NOT show raw JSON or curl commands in your response. Only show the final formatted markdown output.

Step 1: Parse Airport List

Split arguments to get airport codes. Last argument may be units (metric/imperial).

Step 2: Silently Fetch Data for Each Airport

For each airport, make API calls silently:

bash
1metar=$(curl -s -H "x-api-token: ${API_TOKEN}" "http://localhost:3000/api/metar?id={AIRPORT}") 2weather=$(curl -s -H "x-api-token: ${API_TOKEN}" "http://localhost:3000/api/weather?lat={lat}&lon={lon}&units={units}")

Step 3: Present Clean Comparison

Create a markdown table:

AirportTemperatureConditionsFlight CategoryWindVisibility

Step 4: Detailed Analysis

For each airport, show:

  • Current conditions summary
  • Forecast for today
  • Key metrics

Step 5: Recommendations

  • Which airport has best weather?
  • Any concerns?
  • Best for VFR flying?
  • Notable differences

Example Output Style

Use clean markdown tables with emoji. No JSON visible. Make it easy to scan and compare.

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