Skill UI

A comprehensive workflow guide for managing the entire academic research cycle of a major conference, such as the Web Conference. It details key milestones, backward planning strategies from abstract deadlines, fallback options (Short Papers, Web4Good), and capacity planning tips to ensure timely and successful submission and publication.

This skill establishes the root directory for a collaborative workshop, serving as a centralized project hub. It manages two distinct paths: using an existing local directory (Path A), or initializing a new private GitHub repository (Path B). It scaffolds the necessary structure—including `desks/`, `bench/`, and `CAIRN.md`—while strictly preserving existing work and preventing repository nesting. Ideal for standardizing project setup and maintaining collaboration standards.

This skill serves as a comprehensive guide for academic authors, helping them pressure-test if their research topic is appropriate for specialist journals in comparative politics and international relations (IR). It helps determine if a project is substantive, comparative (travels across cases/systems), theory-advancing, and falls within the journal's core scope, ensuring the work meets high academic standards.

This tool acts as the central orchestrator for academic manuscripts submitted to World Politics. It guides authors through the entire scholarly writing lifecycle, determining the correct article type (research vs. review), verifying the scope (must cross cases in comparative politics/IR), and routing the project to the appropriate specialized writing skills (e.g., theory building, data analysis, literature positioning). It ensures the work maintains a big, comparative, and international scope.

A comprehensive guide for researchers to evaluate if their project aligns with the niche scope of WSDM. It details the 'two-gate test' (web/social data focus and practical/principled approach) and provides a routing table to help authors determine the most appropriate conference venue (e.g., SIGIR, KDD, RecSys) for their work.

Scans your local machine's Git history to locate abandoned or unfinished side projects. It performs a deep 'autopsy' on these repositories, determining their causes of death (e.g., deployment fear, killed by newer ideas) and identifying personal developmental patterns. The tool then surfaces the most promising candidate for resurrection, helping you finally ship it.

Astropy is the essential Python package for astronomical research and data analysis. It provides a comprehensive suite of tools for handling celestial coordinate transformations (e.g., ICRS, Galactic), managing physical units and quantities, processing FITS files, performing complex cosmological calculations, and ensuring precise time handling. It is indispensable for any project involving scientific data in the field of astronomy and astrophysics.

This skill generates high-quality images, textures, icons, and visual assets from text prompts using advanced AI models. It supports multiple providers, including OpenAI (DALL-E) and Google Gemini, offering flexibility in quality and speed. Ideal for rapid prototyping, game asset creation, artwork, and visual mockups across various projects. Requires configuration with an API key.

This tool provides a comprehensive, multi-faceted audit of a codebase's health. It scores the project across critical areas like security vulnerabilities, exposed secrets, dependency risks, and structural integrity. Ideal for senior engineers performing pre-commit or pre-release quality assessments to identify weak spots and generate a prioritized remediation plan.

This skill serves as a deterministic internal downloader for image URLs extracted from comprehensive web search results. It receives normalized media slots and search output via stdin, utilizing Python HTTP APIs to download direct image links. The process includes validating MIME types and saving files accurately into the configured local project directory, ensuring reliable asset retrieval without relying on sandboxed shell tools.

This skill provides an end-to-end workflow for creating a complete, local multimedia webpage project. Users only need to define the topic, target audience, visual style, and media preferences. The system automates the entire process, including requirement framing, content research, media acquisition (images, audio, video), code generation, project packaging, validation, and delivering comprehensive usage guides.

This skill scaffolds a gold-standard annotation project tailored for evaluating clinical NER and de-identification models (OpenMed). It guides users through defining label schemas, writing rigorous guidelines, configuring annotation tools (like BRAT/Label Studio), generating synthetic clinical text, and creating disciplined, non-leaking train/dev/test splits. It ensures that all committed data are synthetic fixtures for reproducible evaluation.