Learn Anything — AI skill for Claude Code
Universal AI learning skill — transforms any content into a structured, adaptive learning system with knowledge base, spaced repetition, and achievement tracking.
How to install Learn Anything
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open d-wwei/learn-anything and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Learn Anything does
Universal AI learning skill — transforms any content into a structured, adaptive learning system with knowledge base, spaced repetition, and achievement tracking. Works with Claude Code, Codex, Gemini, and any LLM.
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README
Learn-Anything
**[English](#learn-anything-1) · [中文](#learn-anything中文)**
**A universal AI skill that transforms any content into a complete, adaptive learning system.**
Works with any AI agent: Claude Code, Codex, Gemini, OpenClaw, or any LLM that accepts system prompts.
What It Does
Give it a topic, URL, PDF, or pasted text. It will:
- Build a knowledge base — actively collects multiple high-quality sources, filters by authority/recency/originality, and optionally uploads to NotebookLM to minimize hallucination
- Map the intellectual landscape — queries expert mental models, field-level debates, and generates diagnostic questions before teaching begins
- Generate a learning map — modules with weight, difficulty, dependencies, and consensus/debate annotations
- Teach each module using a proven triple structure:
- Concept — what it is, why it matters, real-world scenario anchor
- Anti-pattern — common mistake, why it's tempting, correct approach
- Practice scenario — realistic situation requiring judgment
- Calibrate your level — self-assessment + optional 3-minute quiz to verify actual depth
- Make It Easier on demand — analogies, historical context, simplified versions, prerequisite mini-lessons, first-person intuition, and formal boundaries
- Dissect concepts on demand — definition anchoring, common misconceptions, eight exploration dimensions, and compressed concept cards
- Diagnose errors — 3-step diagnosis on every wrong answer: what assumption was wrong, what key premise was missing, which type of misconception
- Track progress — persistent progress files across sessions, resume from any breakpoint
- Run spaced repetition — Ebbinghaus-curve review schedule (R1/R2/R3/R4) per module
- Award achievements — milestone celebrations after each module, randomized badge on knowledge base completion
Why It Works
| Pattern | Wha
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