Skill UI

A comprehensive guide for converting manuscripts from traditional author-date citation styles to the current Molecular Cell/Cell Press numbered format. This skill details the mechanics of in-text superscripts (ordered by first appearance), the creation of a single, continuous numbered reference list, and the required formatting for journal articles, books, and datasets. It ensures authors correctly transition their work to meet rigorous academic publishing standards.

This skill is designed for creating highly professional and cinematic PowerPoint presentations featuring the 'Morph' transition. It enables smooth, continuous motion for shapes, graphs, and elements as the slide advances, mimicking Keynote-style fluidity. Ideal for complex pitch decks or animated sequences requiring precise cross-slide continuity and advanced animation control.

A comprehensive guide for project-managing the demanding lifecycle of submitting a top-tier systems conference paper (e.g., OSDI). Covers critical deadlines, from initial title registration and full submission to artifact preparation and final paper revisions. It provides strategies for navigating review outcomes, retargeting to other venues (SOSP, NSDI), and utilizing the silent window for continuous improvement.

A comprehensive guide for converting disparate reference styles (e.g., APA, Nature) into the highly specific format required by AAAS Science. This includes managing continuous numbering across main text and supplementary materials, ensuring full author lists, abbreviating journal titles, and applying specific citation mechanics.

A workflow designed for careful, incremental development. It mandates breaking down large tasks into the smallest meaningful steps, pausing for immediate feedback after each segment. This continuous validation process ensures the direction is correct early on, minimizing risk and making the entire process highly reviewable and manageable.

This skill provides comprehensive guidance for authors targeting Living Reviews in Relativity (LRR), a high-impact journal for authoritative, continuously updated review articles in relativity and gravitation. It covers the journal's unique 'living' model, required evidence standards, scope definition, house style, and the long-term commitment required to create a definitive, pedagogical survey article.

An autonomous system designed to continuously improve code quality by scanning codebase metrics. It functions as an agent, proposing mechanical code changes, executing them, and committing only if defined metrics improve. It supports multiple modes (Scan, Scaffold, Run) for systematic, data-driven codebase refactoring.

A powerful post-deployment monitoring tool designed for continuous quality assurance in CI/CD pipelines. It captures a performance baseline before deployment and then continuously monitors live applications after deployment. It alerts on critical failures (e.g., 5xx errors), performance regressions, and unexpected changes, ensuring that new releases maintain production stability.

Automates the entire Continuous Integration (CI) workflow, crucial before opening a Pull Request (PR). It systematically runs local unit tests for multiple languages (Python, Node, Rust), performs type checking, pushes the current branch to the remote repository, and finally provides the direct URL and status check for the CI platform (GitHub Actions/GitLab). This single command replaces multiple manual steps.

Quickly retrieve and display the current Continuous Integration/Continuous Deployment (CI/CD) pipeline status for the active branch or a specific Pull/Merge Request. This tool supports major Git platforms including GitLab CI and GitHub Actions, providing developers with an immediate snapshot of build and test results.

This skill implements a critical CI gate to ensure the privacy and performance integrity of de-identification models. It automatically fails the build if the model's recall on held-out PHI data drops below the defined threshold, or if any critical Personally Identifiable Information (PHI) is leaked (leakage must be zero). It enforces strict privacy standards in continuous integration pipelines, blocking unsafe merges.

This tool tests your deep understanding of code you have recently written or reviewed. It generates structured, multi-level questions (Recall, Understanding, Application, Analysis, Synthesis) based on the provided code. Users can focus the quiz on specific areas like error handling, performance, or security, making it an excellent mechanism for continuous learning and solidifying technical knowledge.