Skill UI

A comprehensive skill designed to process and organize incoming emails. It classifies messages using a predefined user taxonomy, researches new senders, generates decision recommendations, drafts replies (without sending), and updates a knowledge base with learnings. Ideal for running on a recurring schedule (1-3 times daily) or on demand to maintain an organized inbox.

This tool streamlines the entire meeting preparation lifecycle. By integrating Notion context, performing targeted searches, and enriching content with Codex research, users can draft structured agendas, pre-reads, and decision documents. It ensures all necessary background information, owners, timeboxes, and industry insights are compiled for highly effective meetings.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

This skill facilitates structured, bidirectional reading and knowledge synthesis for academic texts, theories, and articles. It forces users to first capture the source material's original intent, before critically mapping its relationships, conflicts, and absorptions against the CrossFrame framework. It ensures structured output with clear source boundaries, making it ideal for deep learning and scholarly work.

This skill automates the NotebookLM AI research tool using browser automation via the Claude Chrome extension. It allows users to programmatically create new notebooks, add multiple sources (URLs, documents, text), and trigger complex output generations, such as mindmaps, audio overviews, and briefing documents, without manual clicking. Ideal for researchers and builders managing high volumes of source material.

This tool provides professional translation of technical articles and texts from English or Japanese into natural, fluent Chinese. It is designed for users who require high-quality, technically accurate Chinese content, such as translating documentation, research papers, or industry reports. The process ensures that technical jargon (e.g., LLM, API, Transformer) and proper nouns remain untranslated, maintaining technical consistency while achieving fluent Chinese readability.