Skill UI

This meta-skill automates the compilation of comprehensive daily briefings. It integrates local weather data and gathers the latest news on a user-defined topic. The gathered information is then synthesized and summarized into a single, structured digest, which is finally saved into long-term memory for easy recall and review.

A meta-skill designed to generate comprehensive and detailed travel itineraries and schedules. It intelligently orchestrates multiple steps, including extracting user preferences, checking local weather, searching Points of Interest (POI), and identifying practical time constraints (like opening hours and transit times). This ensures the final output is highly actionable, whether for a leisure trip or a business journey.

This skill fetches current weather conditions and multi-day forecasts for any specified location by querying public weather APIs like wttr.in. It can provide various output formats, including text summaries, detailed JSON data, and even PNG images. Use it whenever a user asks about the weather, temperature, or forecast for a given area. No API key is required.

The Marketing Weather Report provides a consolidated, single-page assessment of all external signals affecting marketing effectiveness (economic, cultural, industry, platform, regulatory). It scores current conditions (Green/Yellow/Red) and provides actionable go/no-go signals for timing campaigns, adjusting budgets, or making strategic decisions across different time horizons (week, month, quarter).

Provides comprehensive guidelines for field crops researchers submitting manuscripts. The policy mandates reporting deep agronomic context (soil, weather, management, design) and requires authors to prepare a detailed data-availability statement. It ensures the reproducibility and structural completeness of research findings, while also covering guidelines for co-submission and AI use declaration.

This comprehensive preflight checklist guides authors through the final review process before submitting manuscripts to Field Crops Research (FCR). It ensures adherence to strict journal requirements, covering scope confirmation, formatting rules (abstract word count, highlights structure), comprehensive reporting (weather vs. phenology, statistics), and mandatory declarations (data availability, AI use). Use this guide to minimize rejection risk and streamline the submission process.

A comprehensive guide for establishing robust causal links in environmental economics. It covers advanced econometric techniques for policy evaluation, including staggered Difference-in-Differences (DiD), Instrumental Variables (IV), and Regression Discontinuity Designs (RDD). It specifically addresses challenges in non-market valuation, such as spatial sorting, hypothetical bias, and separating weather shocks from long-term climate trends, ensuring the recovered parameter is welfare-relevant.

Azure Maps SDK for .NET offering geocoding, routing, rendering, geolocation, and weather services. Use it for address search, directions, map tiles, IP geolocation, and weather data in .NET applications.

Analyze weather radar and satellite observations as remote-sensing data: validate product metadata, geometry and calibration, derive storm and cloud structures, track their evolution, and quantify uncertainty for short-term nowcasting.

Create realistic weather effects in Three.js by coupling precipitation particles with surface responses. This skill covers snow accumulation, wet puddles, rain streaks, and splash animations. It ensures visual consistency between falling weather and ground interaction, including wind, wetness transitions, and procedural normals for immersive 3D environments.

Implement high-quality volumetric cloud systems in Three.js using weather-driven density, bounded raymarching, and temporal reconstruction. Supports multiple layers, cloud shadows, and scalable quality modes for realistic weather visualization.

Manage ownership, retention, and cleanup of downloaded weather data across one-shot jobs, interactive viewers, caches, failures, and cancellation. This skill ensures temporary files are removed after use, interactive data persists until closed, and shared caches are protected. It covers Python implementation for safe file handling, atomic moves, and idempotent cleanup logic to prevent data leaks or corruption during processing.