[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f27ix1rfbxtb36":3},{"code":4,"message":5,"data":6,"timestamp":35},10000,"success",{"full_name":7,"position":8,"description":9,"language":10,"stars":11,"forks":12,"stars_gained":13,"age_days":14,"hn_threads":15,"one_liner":26,"summary_md":27,"topic":28,"github_topics":31,"license":32,"homepage":9,"updated_at":33,"history":34},"withmarbleapp\u002Fos-taxonomy",9,null,"JavaScript",7317,1186,2777,108,[16,22],{"id":17,"title":18,"points":19,"comments":20,"posted_at":21},50162818,"What Children Learn",1,0,"2026-10-20",{"id":23,"title":24,"points":19,"comments":20,"posted_at":25},48868607,"Marble - (Education) Skill Taxonomy","2026-07-11","An open prerequisite graph of 1,842 elementary micro-topics mapping what children need to learn, aligned to national curricula.","## The problem\n\nAnyone building curriculum-aligned learning software faces the same wall: curriculum standards are published as flat, verbose lists of expectations, and the real dependency structure between skills lives inside commercial products. You know a child should learn fractions after place value, but the \"after\" is scattered across documents or locked behind a vendor. Marble's taxonomy packages that structure as a versioned dataset: 1,842 micro-topics described in plain language, linked by 3,919 prerequisite edges, and cross-referenced to standards from NGSS, Common Core, the UK National Curriculum and others.\n\n## What's different\n\nThe unusual part is the shape of the data rather than its volume. Instead of a standards list, it supplies a directed acyclic prerequisite graph whose edges carry a hard\u002Fsoft tag and a one-line justification, so you can compute \"what must a learner master before this concept\" rather than re-deriving sequencing yourself. Related, each topic ships mastery evidence criteria and an assessment prompt, which is closer to authoring notes than to a bare code-to-topic mapping. The teaching-research file (roughly 24 MB) is the weakest link: it is explicitly agent-authored, partial at 1,049 records against 793 topics without research, and the README states sources were not re-fetched or re-verified.\n\n## Who it's for\n\nEdtech engineers and product teams who need a curriculum graph as a starting point instead of licensing one or authoring from scratch; also researchers and curriculum designers who want inspectable prerequisite structure across subjects. It is not a learner-facing product, and it is not a validated pedagogical authority: teachers and parents looking for tested lesson plans should look elsewhere, and anyone needing certified full-standard coverage will be disappointed, since the README itself withdraws previous coverage claims.\n\n## Cost of adoption\n\nPure JSON with JSON Schemas and SHA-256 checksums in a manifest, so ingestion is cheap and no runtime is imposed. The real cost is governance. The data is under ODbL-1.0, a share-alike database license, so derivative databases inherit obligations; check attribution requirements before shipping. The project is young (around three months old at the time of the tracked data), the README is unusually candid about partial authority, agent authorship and unre-verified sources, which is good faith but raises your verification burden. Teaching research coverage gaps mean you will write your own content for many topics.\n\n## Verdict\n\nThe prerequisite graph and mastery evidence are genuinely useful structure that is hard to get elsewhere for free, and the explicit provenance notes make the dataset more trustworthy than most scraped curriculum dumps. But momentum looks like a spike rather than an established track record: 7,315 stars in roughly 108 days, with 2,777 of them arriving in a single month and no daily trending presence, suggests launch attention more than sustained adoption. Treat it as a strong seed dataset to fork and audit, not as an authoritative curriculum. Non-English curricula and anything requiring validated pedagogy should wait for later versions.",{"slug":29,"name":30},"learning","Learning Resources",[],"ODbL-1.0","2026-10-24T16:37:04Z",[],1792868537]