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)
面向大学课程的证据驱动学习 Agent:连接预习、复习、错因修复、迁移验证与考前组卷,依据学习证据动态安排下一步。
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.
Glossy interactive React lab for human and agent memory systems.
An Intelligent Lecturing Assistant
Web-based adaptive learning system for cognitive-model-driven practice and research.
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.
🎓 Ardham Shastra — the science of meaning & mastery. 41 mandalas · mandala universe map · 6 cosmic themes · instant search. One HTML file, zero CDN.
Turn any codebase into an interactive HTML course the reader can actually defend — spec-compliant Agent Skill, self-verifying, offline, stdlib-only.
Brief, situated comprehension checks for AI-assisted changes in Claude Code.
Distraction-free AI learning. Stay with one concept at a time using clear explanations, useful analogies, visual structure, and active recall.
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