jinwx

jinwx / weather-data-skills

Public

Agent Skills for downloading and processing weather and climate data

12
2
100% credibility
Found Mar 24, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A plugin for AI coding assistants providing scripts to simplify downloading and planning retrievals of weather and climate data from public archives.

How It Works

1
🔍 Discover the Helper

You need weather or climate data for a project and find this handy plugin that makes your AI coding assistant a pro at getting it right.

2
📥 Add to Your AI

Tell your AI helper to install the weather skills plugin, and it adds the tools with a simple command.

3
🛠️ Set Up Your Connection

Follow a quick check to make sure your free climate data account is linked, so everything works smoothly.

4
💬 Ask for Your Data

Chat with your AI about the weather data you want, like forecasts from the past decades, and it knows all the tricks to get exactly what you need.

5
⏳ Download Happens Easily

Your AI creates a smart plan, splits big requests into manageable pieces, and grabs the files without errors or wasted time.

📊 Data Ready to Use

You now have clean, complete weather files in a folder, ready for your maps, analysis, or whatever project sparked this adventure.

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Star Growth

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AI-Generated Review

What is weather-data-skills?

This Python repo packs agent skills for AI coding assistants like Claude Code, Cursor, Codex, and VS Code extensions to fetch and handle weather and climate data from the Copernicus Climate Data Store. It tackles the headaches of undocumented API quirks, dataset versioning, and request splitting, so your agent github claude or copilot can download ERA5 reanalysis or seasonal forecasts correctly without trial-and-error. Users get resumable CLI downloads, dynamic constraint queries for optimal plans, and setup verification—plug it into your agent skills marketplace via npx or chat commands.

Why is it gaining traction?

Unlike raw CDS API wrappers, it bakes in expert strategies like chaining forecast systems for max coverage or picking the latest for consistency, making agent github copilot intellij or vscode output efficient, error-free scripts on the first try. Devs on agent github copilot reddit rave about skills that encode climate domain knowledge, saving hours on data prep. It's a lightweight agent skills library that integrates with anthropic claude, openai codex, or microsoft copilot via github actions or repos.

Who should use this?

Climate data scientists building ML models with ERA5 or seasonal hindcasts. Weather app devs using agent skills examples in VS Code or Cursor for quick prototypes. Researchers querying agent github repo for agent skills io to automate CDS pulls in pipelines.

Verdict

At 12 stars and 1.0% credibility, it's raw early-days code with solid README but no tests—test it yourself on a small download. Worth adding to your agent skills repo if CDS data is your bottleneck; fork and contribute to mature it.

(198 words)

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