CHMURNIK

Polish, source-backed education for learning to identify clouds and understand the weather from first observation through advanced aviation interpretation.

The application includes:

• adaptive knowledge placement instead of forcing everyone through lesson one;
• a WMO-based encyclopedia with 10 genera, 49 formal taxonomy terms, and one ranked search across names, codes, Polish aliases, morphology, diagnostic clues, and classification levels;
• an interactive WMO nomenclature workshop that constructs complete names, catches contradictory varieties, and separates visible morphology from origin claims requiring observation history;
• a three-frame diagnostic gallery in every genus monograph, with observation before explanation and complete photograph provenance;
• an evidence-based field observer with three transparent hypotheses;
• a differential comparison laboratory for two or three cloud genera;
• nine full lessons with honest time plans, sourced chapters, worked examples, chapter-by-chapter mobile focus, active recall, module-specific practice, checks, and an adaptive recognition review map;
• aviation weather: complete METAR anatomy, active METAR/TAF decoding, three-station briefings, transparent local spaced review, ceilings, icing, turbulence, convection, and thunderstorms;
• an independent laboratory for AGL, MSL, pressure levels, geopotential height, and the vertical layers used in Windy;
• a practical Windy decoder for eight common overlays, with reference frames, comparison fields, interpretation traps, and four-choice reasoning checks;
• an interactive Skew-T laboratory with four contrasting vertical profiles, log-pressure projection, parcel paths, cloud layers, wind, aviation readings, uncertainty notes, and interpretation checks;
• visible sources and confidence notes throughout the learning experience;
• a mobile-first installable web app with offline learning support.

The current version deliberately does not classify photos automatically and includes no voice or audio system.

Development

npm install
npm run dev

Quality gate

npm test
npm run check:lessons
npm run check:links
npm run build

The versioned build-quality-lesson skill under .codex/skills/ defines the content contract for every new or revised lesson.

Publishing

The public application is deployed at:

https://jakiesluchawki.github.io/cloud-recognition/

The project is tracked with the Lore Framework under lore/.