learn-from-materials
Transform PDFs, books, and papers into interactive learning web pages that are traceable, quiz-ready, and note-friendly.
- Type
- Agent Skill
- Open source
- Yes
- GitHub Stars
- ★ 1.0k
- Source
- skill-github
Overview
learn-from-materials is a cross-agent learning skill built on the Open Agent Skills specification. It converts books, PDFs, slides, Word documents, web pages, and multi-file collections into traceable knowledge bases, interactive learning pages, and Markdown content. The skill supports systematic reading and quick overviews, emphasizes verifiable sources, and strictly distinguishes between factual material and model-generated content. It requires an agent environment with file reading and local command execution capabilities, such as WorkBuddy, Codex, Claude Code, and GitHub Copilot CLI. Full functionality is not available in pure chat environments.
Capabilities
- ▪Convert complex materials into interactive learning web pages
- ▪Extract core questions and objectives from materials
- ▪Organize arguments, frameworks, and action rules
- ▪Generate traceable knowledge bases
- ▪Support multiple file formats (PDF, EPUB, DOCX, etc.)
- ▪Provide language and page interaction features
Use cases
Setup
Please refer to the installation steps in the project README file.
This information was compiled by AI from public sources and may contain inaccuracies — please refer to the source.
FAQ
What file formats are supported?
PDF, EPUB, MOBI/AZW/AZW3, DOCX, PPTX/PPTM, HTML, Markdown, TXT, RTF, and multi-file collections.
Does it require a specific agent environment?
Yes, environments that support file reading and local command execution, such as WorkBuddy, Codex, Claude Code, and GitHub Copilot CLI.
Is multilingual support available?
Yes, supports Chinese and English.
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