Evidence-based learning engine — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.
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Aug 27, 2026 - Python
Evidence-based learning engine — first-principles curricula, free-recall verification with receipts, FSRS-scheduled memory, and explorable artifacts. Learn anything; keep it.
165 evidence-grounded AI skills for teachers, school leaders and EdTech builders—pedagogy, learning science, curriculum, assessment and regeneration. Claude, Codex and Hermes.
🌳 AI-Powered Skill Tree for Lifelong Human Learning. 30+ skills from K-12 to career & social intelligence, built on cognitive science. | 人类养成记:AI 驱动的终身学习技能树
The data layer for smarter educational AI. Integrate trusted instructional content and research directly into your AI-powered tools — improving precision, relevance, and instructional alignment.
Evaluation for AI outputs against trusted educational rubrics. Measure and improve content quality with research-backed rubrics — ensuring rigor, reliability, and alignment to classroom needs.
Universal AI agent skill that turns any material into learning-science-based self-study courses with retrieval practice, spaced repetition, and tutor mode.
🎓 A teaching skill for AI coding agents — teaches from your level, then verifies real learning by restatement. Adapted from Matt Pocock's teach (MIT).
AI-agnostic skill for writing BrainLifts: structured context docs that turn research into DOK knowledge trees, insights, and spiky POVs.
把硬核长内容拆成obsidian的思维导图 · 通用 AI 提示词框架(Claude/ChatGPT/Gemini)
Research-backed concepts for educators teaching AI literacy. How to preserve human thinking, judgment, and agency while using AI productively.
Local-first mastery tutor for AI agents with guided HTML lessons, hands-on practice, transfer checks, spaced review, and learner-owned progress.
Distraction-free AI learning. Stay with one concept at a time using clear explanations, useful analogies, visual structure, and active recall.
Glossy interactive React lab for human and agent memory systems.
An Intelligent Lecturing Assistant
An Agent Skill for AI teaching that reasons about the learner's current understanding and chooses the next teaching move, grounded in cognitive and learning science.
Agent Skill that quizzes you on its own answers — one multiple-choice question after each substantive reply, graded and explained. Ambient retrieval practice against AI deskilling. Instruction-only: no scripts, no network, no data sent. MIT.
Evidence-driven Agent Skill for systematic learning: retrieval, discrimination, transfer, performance, and long-term continuity.
Web-based adaptive learning system for cognitive-model-driven practice and research.
🎓 Ardham Shastra — the science of meaning & mastery. 41 mandalas · mandala universe map · 6 cosmic themes · instant search. One HTML file, zero CDN.
Brief, situated comprehension checks for AI-assisted changes in Claude Code.
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