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Weather Transformer

Listed
shanraisshan·vlatest·ai-ml·MIT

Transforms weather data into actionable insights – ideal for generating tailored reports and informed decisions based on current conditions.

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This skill no longer installs under the name weather-transformer. shanraisshan/claude-code-best-practice has no skill named "weather-transformer" any more. It was renamed, moved or deleted upstream.

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Repository install instructions

What we know about this skill

Publisher

shanraisshan

Taken from the source listing. We haven't verified who controls this account.

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scanned

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Not scanned. none of the 9 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as shanraisshan/claude-code-best-practice.
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About this skill

What it does

The weather-transformer skill allows AI agents to reformat weather data into various formats. It can translate between different units (e.g., Celsius to Fahrenheit), summarize forecasts, and present the information in a user-friendly way. This skill is designed to handle complex weather reports and deliver concise, actionable insights.

When to use it

  • Travel Planning: Get a summarized weather forecast for your destination city, including temperature ranges and precipitation chances.
  • Outdoor Activity Preparation: Convert the current temperature from Celsius to Fahrenheit before deciding whether to go hiking.
  • Reporting & Analysis: Summarize daily or weekly weather data into a brief report for stakeholders.
  • Accessibility: Convert complex weather reports into plain language summaries for users who may have difficulty understanding technical terminology.

Key capabilities

  • Unit conversion (Celsius to Fahrenheit)
  • Forecast summarization
  • Data reformatting

Example prompts

  • "Summarize the weather forecast for London tomorrow."
  • "Convert 25 degrees Celsius to Fahrenheit."
  • "Give me a brief overview of the weekly weather in Seattle."

Tips & gotchas

The skill's effectiveness depends on the quality and format of the initial weather data provided. Ensure the input is clear and complete for optimal results.