Skill UI

Automates working with .docx files via OfficeCLI, covering reading, parsing, editing, and preparing Word reports, letters, memos, and proposals alongside templates, tracked changes, headers/footers, or tables of contents.

OfficeCLI Excel Assistant guides you through reading, querying, and editing .xlsx workbooks from the CLI, covering text extraction, structure/issue analysis, charts, tables, and formatting operations.

Automates reading event rows from Google Sheets and inserting matching Google Calendar entries via gws commands, keeping schedules synced from a single spreadsheet.

This lightweight, dependency-free script integrates with Gmail via standalone OAuth authentication, requiring no external server. It allows users to perform comprehensive operations—including searching, reading content, sending emails (with CC/BCC/HTML support), and modifying labels—directly from the command line. It is ideal for automating complex inbox workflows and batch processing tasks for Google Workspace accounts.

This comprehensive guide serves as a technical reference for migrating applications from the Universal Windows Platform (UWP) framework to the modern WinUI 3 / Windows App SDK. It details crucial API changes, including namespace updates, window management (CoreWindow to AppWindow), threading models (CoreDispatcher to DispatcherQueue), and best practices for dialogs and background tasks. Essential for developers updating legacy UWP codebases.

This tutor specializes in developing advanced critical thinking and argumentative skills across humanities and social sciences. It covers disciplines including philosophy, sociology, psychology, political science, and literature. Instead of providing simple answers, the focus is on teaching students how to construct nuanced, evidence-based arguments, utilize multiple theoretical frameworks (e.g., Marxist, feminist), engage in close textual reading, and master the structure of academic writing, supporting both Chinese and Western academic traditions.

A lightweight Python library designed for reading, parsing, and writing Flow Cytometry Standard (FCS) files. It extracts event data as NumPy arrays, handles complex metadata, and supports multiple FCS versions (2.0-3.1). Ideal for data preprocessing, building cytometry pipelines, and inspecting experimental results.

A powerful Python library that extends pandas to enable complex spatial operations on vector geometric data. It supports reading and writing diverse formats, including Shapefile, GeoJSON, and GeoPackage. Users can perform advanced GIS tasks such as spatial joins, buffering, overlay analysis, calculating areas, managing Coordinate Reference Systems (CRS), and generating interactive choropleth maps, making it essential for geographic data science projects.

A high-performance library built on Polars for advanced genomic interval operations and bioinformatics file I/O. It provides robust support for core interval arithmetic (overlap, merge, complement) and reading/writing major formats like VCF, BAM, BED, and GFF. Features include out-of-core streaming, cloud-native I/O (S3, GCS, Azure), and a powerful SQL interface, making it ideal for large-scale genomic research.

A comprehensive Python library for handling DICOM (Digital Imaging and Communications in Medicine) files. Use this skill for reading, writing, and manipulating complex medical images such as CT, MRI, and X-ray. Features include metadata extraction, pixel data manipulation, image anonymization (PHI removal), multi-format conversion, and processing multi-slice volumes, making it essential for medical data analysis and PACS integration.

Pysam is a comprehensive Python toolkit for handling genomic data. It provides a Pythonic interface for reading, writing, and manipulating essential genomic formats, including SAM/BAM/CRAM alignments, VCF/BCF variants, and FASTA/FASTQ sequences. It is critical for developing robust bioinformatics pipelines, performing coverage analysis, and analyzing genetic variations.

This guide identifies and corrects the most common programming mistakes and anti-patterns when integrating with Adobe APIs. It covers critical topics such as migrating from deprecated JWT to OAuth, implementing token caching, handling asynchronous job polling, and secure file uploads. Essential reading for building robust, production-ready Adobe integrations.