Marble Skill Taxonomy

Marble Skill Taxonomy An open, structured taxonomy of what children learn across the primary/elementary years — decomposed into fine-grained "micro-topics", wired into a prerequisite graph, and aligned to national curriculum standards. Produced by Marble. Version: v1 Topics: 1,590 Prerequisite edges 3,221 Subjects: 8 See it Everything a child learns. Every dot is a micro-topic, colored by subject; height is age; each thread is a prerequisite (full-quality video). Explore it interactively at withmarble.com/curriculum — tap any concept to trace everything a learner must master before it. What this is Most curriculum data is either a flat list of standards or locked inside a product. This dataset is a connected graph of learning: • 1,590 micro-topics — a single, teachable idea (e.g. "Building sentences", "Apparent brightness of stars"), each with a plain-language description, mastery evidence criteria, a type (conceptual / procedural / representational / language / meta), a subject + domain, and an approximate age range. • 3,221 prerequisite dependencies — a directed acyclic graph: "topic X depends on prerequisite Y", each edge tagged hard / soft and carrying a one-line reason. • Curriculum alignment — each micro-topic links to the standards it was distilled from (NGSS, Common Core) • Domain clusters — 183 parent-friendly one-paragraph summaries per (subject, domain, age band). Subjects Subject Topics Science 547 Mathematics 503 English 286 History 90 Files All data lives in data/ as UTF-8 JSON. See schema/ for JSON Schemas and manifest.json for counts + SHA-256 checksums. File What it holds data/topics.json The micro-topics (graph nodes). data/dependencies.json Prerequisite edges (topicId depends on prerequisiteId). data/curriculum-standards.json The source curriculum standards, grouped by curriculum. data/clusters.json Parent-friendly domain data/manifest.json Counts, per-subject breakdown, per-file checksums. A topic { "id": "mt_N8CpN1EjRP", "type": "CONCEPTUAL", "subject": "English", "domain": "Grammar & Punctuation", "name": "Building sentences", "description": "Understand that words combine Using it Pure data — no runtime, no dependencies. Load the JSON and go. import topics from './data/topics.json' with { import deps from './data/dependencies.json' with const byId = new Map(topics.topics.map(t => [t.id, t])) const prereqs = deps.dependencies.filter(d => d.topicId === "mt_N8CpN1EjRP") .map(d => byId.get(d.prerequisiteId).name) Validate structure + referential integrity: node scripts/validate.mjs License APPARENT BRIGHTNESS OF STARS This dataset is multi-licensed — read this before you use or redistribute it. Layer The database — the collection, structure, IDs, topic->topic and topic->standard relationships