Learn From Materials — Development skill for Claude Code
Turn PDFs, books and papers into interactive learning webpages|将复杂材料转化为可追溯、可测验、可做笔记的学习网页.
How to install Learn From Materials
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open dmoshehun-prog/learn-from-materials and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Learn From Materials does
Turn PDFs, books and papers into interactive learning webpages|将复杂材料转化为可追溯、可测验、可做笔记的学习网页.
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README
**English** · [中文](README_CN.md)
learn-from-materials

Turn books, PDFs, slides, Word documents, web pages, and multi-file material sets into traceable knowledge bases, interactive learning pages, and synced Markdown.
   
`learn-from-materials` is a cross-agent learning skill built on the open Agent Skills specification. It emphasizes complete reading, verifiable sources, a strict separation between material facts and model-added content, offline-first operation, and least privilege.
It works in agent environments that can read files, run local commands, and recognize `SKILL.md` — such as WorkBuddy, Codex, Claude Code, and GitHub Copilot CLI. Pure chat environments without file-system access or Python execution can only use parts of the prompting workflow; they cannot perform material extraction, coverage validation, or HTML rendering.
Key Features
- Supports PDF, EPUB, MOBI/AZW/AZW3, DOCX, PPTX/PPTM, HTML, Markdown, TXT, RTF, and multi-material collections
- Two learning depths: "Quick Overview" and "Systematic Study"
- Generates a traceable
.learnkb/knowledge base, a self-contained interactive HTML page, and synced Markdown - Fine-grained source mapping for PDF pages, PPT slides, and EPUB chapters
- Produces core-framework, guided-content, glossary, action-rules, dynamic self-check, and local-notes pages
- Runs coverage audits, summary bidirectional mapping, reverse coverage spot checks, source hashing, and incremental-update validation
- Distinguishes material-backed facts, areas not covered by the material, model-added content, and externally verified items
- Offline by default with no automatic dependency installation; page notes, learner profiles, and wrong-answer r
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