タグ：teaching

Open-source alternative to NotebookLM's podcast feature: turns web pages, PDFs, images, YouTube videos or text into two-host conversational audio, useful for lecture notes or articles. Uses Gemini and OpenAI API keys by default, or local models plus free Edge TTS.

Unofficial nlm CLI and MCP server for NotebookLM (now Gemini Notebook): bulk-create notebooks, import web pages and docs, and generate audio overviews, quizzes, flashcards, mind maps and slides for teaching and study. Relies on undocumented APIs and a Google sign-in, so it may break.

Unofficial CLI and MCP that let agents work with NotebookLM (now Gemini Notebook): bulk-import sources, ask questions with citations, and generate audio overviews, quizzes, flashcards, mind maps and slides. Uses undocumented APIs and may break; needs a Google sign-in and uv.

Local neural text-to-speech engine that converts text to speech offline, with voices in dozens of languages, handy for listening materials or narrating articles and course slides. Needs Python; download a voice model before first use. The project is currently looking for maintainers.

Turns any codebase into an interactive browser course: real code with plain-language explanations, animations, hover glossaries and scenario quizzes. Built for people who build software with AI but can't read code, and useful for intro programming classes. Needs only an agent and the repo.

From ISCAS's Chinese Information Processing Lab: Claude Code or Codex write slides from your brief, render each page to check layout, and export an editable PPTX, for lectures and academic talks. Needs macOS, Linux or WSL with Python (uv), npm and LibreOffice; install per the README.

Turns SRT subtitles into a hand-drawn whiteboard animation on warm paper that follows the narration, exported as MP4, pausing for approval at storyboard, line art and annotation steps. Good for lesson explainers. Needs Python; line art from an image-capable agent or your own.

Builds Markdown and Jupyter notebooks into online textbook sites with a TOC, math, citations and cross-references, plus publication-quality PDF export; popular for course notes. A Jupyter subproject installed via pipx or npm; PDF export needs Typst or LaTeX.

Recognizes images or whole PDFs (including scans) with math formulas and tables into Markdown and LaTeX, strong on English and Chinese and supporting 80+ languages, handy for digitizing exams, lecture notes and study notes. An open-source Mathpix alternative that runs locally with Python.

Turns a topic or article into a narrated explainer video in English or Chinese: research, script, voiceover, storyboard and per-shot animation, with subtitles and chapter cards. Needs Node.js, ffmpeg and Python; takes about 1-3 hours depending on length. Free for non-commercial use only.

From a single topic, the agent writes a storyboard, generates paper-cutout collage visuals, motion, narration, music and subtitles, and assembles a Vox-style explainer or ad with ffmpeg, checking with you on storyboard and style. Needs a prepaid Atlas Cloud API key, ffmpeg and Python.

Explains a codebase, feature, command or pull request to someone new to it as a PR Lens canvas: one plain sentence first, then a walkthrough that grows the diagram from two boxes to the whole picture, delivered as a shareable link. Requires the PR Lens skill and its npx CLI.

Local text-to-speech CLI built on the open Kokoro model: batch-converts TXT, EPUB and PDF to MP3 or WAV by chapter, with multiple languages, voice blending and speed control; handy for audio versions of course materials. Needs Python 3.11-3.12 and two model files downloaded first.

A three-stage workflow for math modeling contests like MCM/ICM and CUMCM: analysis, solving and plotting in Python or MATLAB, and a Word (optionally LaTeX) paper, with stage-check subagents and OpenAlex plus AnySearch literature search. Generated papers are for reference only.

Adapts an explanation to its audience, from a 5-year-old to a high schooler, college student, parent or executive, adjusting vocabulary, analogies, tone and depth. Useful for teachers, parents and explaining expert topics to laypeople. No account or extra software needed.

Econometrician Pedro Sant'Anna's academic Claude Code setup (fork the repo to use it): Beamer/Quarto lecture slides, paper review and mock refereeing, R/Python analysis and replication packages, with specialist subagents and quality gates. Needs Git and Python; slides need XeLaTeX and Quarto.

Chinese-English translation and word lookup in the terminal: one command shows definitions, phonetics and examples from iCiba, Youdao and an LLM. No API key needed (built-in free LLM proxy), or use any OpenAI-compatible model. Needs Node.js 20+; queries are sent to these online services.

Turns secondary-school math and science problems into teaching materials: interactive geometry solution pages, 3D molecular views of chemical reactions, and math explainer videos with Chinese voiceover and bilingual subtitles (needs a Zhipu GLM-TTS key). Requires Python sympy.

Learning plugin for students and self-learners: /learn a topic to get a first-principles knowledge graph; it quizzes you before explaining, a separate agent blind-grades your free recall, and /review schedules FSRS spaced repetition. Progress stays local as JSON; needs Python 3.

Jupyter's official tool for notebook assignments: once teachers mark up questions and solutions, the CLI generates student versions, collects submissions, auto-grades and produces feedback. Suits programming and data courses. Needs Python and Jupyter; assignments must use nbgrader's markup.

Turns a paper (arXiv link or PDF) into method diagrams, slides with a generated image per page (PPTX/PDF export) and an in-depth HTML explainer with formulas, for lab meetings and lectures. No API key; images use Codex's built-in generator or, in Claude Code, a separate image skill.

Two companion skills: /tutor-setup turns PDFs, lecture notes or a codebase into an Obsidian study vault with concept notes and practice questions, and /tutor quizzes you with multiple-choice questions on weak spots and tracks mastery. For students reviewing or self-studying; best viewed in Obsidian.

Builds conference talks, lab meeting decks, defenses, lectures and grant reports to academic norms: assertion-style titles, slides ordered by the argument, one cited chart per results slide, and a closing conclusions slide. Pair with Anthropic's pptx skill; on claude.ai, enable code execution.

Breaks a rough explanation idea into a scene-by-scene storyboard, then writes animation code following best practices for Manim Community or 3Blue1Brown's ManimGL, for math and physics explainers in class demos and educational videos. Needs Python, FFmpeg and LaTeX installed locally.