MalaGIS

Sharing GIS Technologies, Resources and News.

In recent years, WebGIS and map visualization have become increasingly dependent on the open-source stack. As an open-source continuation of Mapbox GL JS, MapLibre is widely used on the browser side due to its top-tier visualization quality. Meanwhile, many teams have started using AI coding assistants like Cursor and Claude Code to accelerate development. However, models are not reliable when it comes to API details and common issues of specific libraries—problems such as blank basemaps or misconfigured tile sources can arise, and debugging them often takes even more time.

Recently, we noticed that the MapLibre team open-sourced a project on GitHub called maplibre-agent-skills. It provides a series of skills for common MapLibre development issues. Currently, three skills are included, with more updates to come. If you're doing MapLibre development, this is worth your attention.

Introduction to MapLibre Agent Skills

MapLibre Agent Skills is a collection of Markdown skill files for AI agents. The content covers how to build applications with MapLibre, known API calls, and high-frequency pain points from GitHub Issues and Stack Overflow. Each skill is evaluated with Promptfoo using real developer questions, making AI coding more reliable in everyday use.

Simply put, it solves the problem of "let the assistant guess less and follow verified practices more." It is especially suitable for GIS and front-end developers who are already using or planning to use MapLibre for 2D/3D web mapping.

Official website: https://github.com/maplibre/maplibre-agent-skills

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Just a few days ago, the MapLibre community officially released the MapLibre Tile (MLT) format. This could very well be the most fundamental and hardcore technological innovation in the WebGIS domain since Mapbox defined the MVT standard a decade ago. The official announcement claims that MLT can achieve compression rates up to 6 times better than MVT and decoding speeds 3 times faster! So what exactly is MLT? Why is it positioned to challenge MVT? Let's delve into the details today.

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During a casual chat in the MalaGIS WeChat group, someone asked when GIS skills become most useful in daily life. Answers ranged from food delivery route optimization to travel planning, but the most insightful response was "assessing location (including Feng Shui) for property purchases". Among factors like sunlight access—a critical yet often overlooked parameter—most standard map apps fail to provide this data, requiring specialized GIS software (refer to methods in "ArcGIS 3D Handbook: Sunlight and 3D Path Analysis"). Recently, I discovered an online WebGIS application that simulates sunlight and shadows for any global location at any date—an excellent tool worth sharing.

Official site: https://shademap.app/

ShadeMap enables browser-based simulation of mountain, building, and tree shadows at any global coordinate for customizable dates/times. Users achieve precise, interactive sunlight and shadow analysis without client installations.

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