Natively — Free open-source AI meeting assistant, interview copilot, and note taker. The best alternative to Cluely, Otter, Granola, Final Round AI, Fireflies, and Interview Coder. Real-time transcription, AI meeting notes, lecture recording, local RAG, BYOK, and stealth mode. Runs locally. No subscriptions. No data breaches.
Directorio de skills
Descubre skills reutilizables para AI agents.
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Resultados de búsqueda: lecture
Directorio en inglésA full-lifecycle Claude Code skill for creating, compiling, reviewing, and polishing academic Beamer LaTeX presentations with quality scoring and pedagogical audits.
🎓 Sharing machine learning course / lecture notes.
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
Moodle-DL downloads course content fast from Moodle (eg. lecture pdfs)
Speaker is a Codex skill project for academic presentations: read real.pptx, combine text extraction, PPTX structure parsing, page-by-page rendering, OCR, and visual review to generate page-by-page speaker notes, and write a clean version of the lecture into the PowerPoint comment area.
100xDevs Cohort 3 🚀 by Harkirat Singh. This repository contains Lecture Codes, Notes, Assignments, Assignment Solution Code and Some Good Articles/Blogs Link. 🔥
📚 A place for all lecture scripts, projects etc. for the "C++ for yourself" course
TUMs lecture streaming service.
A Claude Code skill and CLI that converts lecture recordings into structured, traceable notes with a synced HTML viewer.
A concise and intuitive control theory lecture note, designed for engineering applications, in both Chinese and English.
Code for "Machine Learning for Physicists" lecture series by Florian Marquardt