notebook-proofread

Proofread Jupyter notebook markdown cells and the notebooks README for typos, grammar (UK English), inconsistencies, repetition, and incorrect cross-references. Use when the user wants to check, proofread, review, or lint notebook prose.

nlm-cli-skill

Expert guide for the NotebookLM CLI (`nlm`) - a command-line interface for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.

مهارت Jupyter Notebook

دفترچه‌های Jupyter تمیز و بازتولیدپذیر برای دو حالت اصلی ایجاد کنید:

agentic-data-science-competition

AI Agent-driven Kaggle competition workflow. Learn from real competition experience: score stabilization patterns, submission troubleshooting, kernel workflows, GPU task delegation, and the spec-driven development approach that achieved top leaderboard positions. Use when: working on any Kaggle competition, analyzing submission failures, setting up automated pipelines, or replicating top notebook solutions.

Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into Claude Code, Cursor, and more.

Generate SQL validation notebooks for dbt changes. Pass a GitHub PR URL or local dbt repo path.

Deepnote Skill

`.deepnote` files are YAML-based, portable, git-friendly project files that can contain multiple notebooks. Each notebook holds an ordered list of blocks (code, SQL, markdown, inputs, visualizations, etc.). Snapshot files (`.snapshot.deepnote`) use the same format but include execution outputs.

add-molab-badge

Add "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.

joplin

Orchestration guidance for Joplin note, notebook, and tag management tools

notebooklm-research

Full-autopilot AI research agent powered by Google NotebookLM (notebooklm-py v0.3.4). Ingests sources (URL, text, PDF, DOCX, YouTube, Google Drive), runs deep web research, asks cited questions, and generates 10 native artifact types (audio podcast, video, cinematic video, slide deck, report, quiz, flashcards, mind map, infographic, data table, study guide). Produces original content drafts via Claude, with optional publishing to social platforms via threads-viral-agent integration. Use this skill when the user mentions: NotebookLM, research with sources, create notebook, generate podcast from articles, turn research into content, trending topic research, research pipeline, source-based analysis, cited research answers, generate slides, generate quiz, make flashcards, deep web research, create infographic, compare sources, research report, study guide, source analysis, or knowledge synthesis.

Io.Github.ChengJiale150/Jupyter Mcp Server

A powerful MCP server for AI-driven Jupyter Notebook management and execution

notebook-metadata

Ensures Jupyter notebooks have required metadata and nbformat. Use when adding, creating, or modifying .ipynb files, or when the user asks about notebook structure or validation.

Stash — Shared Workspace, Notebook, Table, and Memory System

nlm-skill

Expert guide for the NotebookLM CLI (`nlm`) and MCP server - interfaces for Google NotebookLM. Use this skill when users want to interact with NotebookLM programmatically, including: creating/managing notebooks, adding sources (URLs, YouTube, text, Google Drive), generating content (podcasts, reports, quizzes, flashcards, mind maps, slides, infographics, videos, data tables), conducting research, chatting with sources, or automating NotebookLM workflows. Triggers on mentions of "nlm", "notebooklm", "notebook lm", "podcast generation", "audio overview", or any NotebookLM-related automation task.

ai-scientist-evaluator

Critically review, score, compare, and rank one or more AI scientist outputs for biology, bioinformatics, computational life science, or adjacent research tasks. Trigger when the user asks to evaluate notebooks, code, figures, analyses, manuscripts, software, or final reports produced by AI scientists; compare multiple AI scientists on the same task; judge publication readiness; or audit rigor, reproducibility, novelty, and task completion. Do not use this skill to perform the original research task itself unless the user is explicitly asking for a reviewer-style audit of already produced outputs.

Io.Github.Epochal Dev/Open Notebook

MCP server that wraps the Open Notebook API

JAXSR Review Skill — Red-Team, Engineering & Pedagogical Review

Systematically review JAXSR code, documentation, guides, and notebooks for API correctness, engineering quality, and pedagogical clarity.

wechat-to-notebooklm

WeChat article to NotebookLM sync tool. Use when user provides a WeChat Official Account article URL (mp.weixin.qq.com) and wants to add it to their NotebookLM. Automatically fetches article content, converts to Markdown, creates notebook, and uploads to NotebookLM.

NotebookLM AI Plugin

Supports: - Chat with Notebook AI (source-grounded Q&A with citations) - Slide Deck generation (PDF/PPTX) - Audio Overview (M4A -- deep dive, brief, critique, debate formats) - Video Overview (MP4 -- classic, whiteboard, kawaii, anime, watercolor styles) - Mind Map (HTML) - Flashcards (HTML/JSON) -