Skill UI

This skill provides comprehensive code review capabilities for analyzing git diffs or specific file scopes. It goes beyond simple syntax checks, assessing code for reuse opportunities, quality issues (e.g., redundant state, leaky abstractions), efficiency bottlenecks, and adherence to standards. It utilizes multiple specialized sub-agents (Reuse, Quality, Efficiency, Clarity) to perform parallel, read-only audits. Optionally, it can apply high-confidence, behavior-preserving fixes upon user request.

This skill is designed to mitigate false-positive safety triggers from strict AI classifiers (e.g., cyber, bio/chem, reasoning). It operates by making minimal, surgical edits to sensitive phrases, abstracting away specific domains or actions while preserving the original benign intent and structure. It ensures the prompt remains policy-compliant without losing its core purpose, making it ideal for academic or defensive inquiries.

This skill enforces highly efficient coding practices, guiding the AI to write the simplest, most direct code possible. It strictly follows an 'Efficiency Ladder' (YAGNI, reusing existing code, standard library, etc.) to prevent over-engineering, unnecessary abstractions, and boilerplate. Use this when the goal is maximum efficiency with minimal code.

This skill provides deep insights into idiomatic Rust development. It covers core concepts like ownership and borrowing to prevent data races, robust error handling using `anyhow` and `thiserror`, advanced pattern matching with enums, and utilizing traits and generics for safe abstraction. Master these patterns when writing or refactoring complex, high-performance, and reliable Rust applications.

This comprehensive guide demonstrates how to achieve highly testable Swift code using protocol-based dependency injection. By abstracting external concerns—such as file systems, networking, and external APIs—into small, focused protocols, developers can write deterministic unit tests that mock side effects and error paths, ensuring robust architecture across different environments (App, Test, Preview).

Plan an AAAI conference submission end to end: venue fit, abstract and paper deadlines, anonymized PDF and checklist, two-phase review, rebuttal, decision, camera-ready, registration and artifact release. Includes backward-planning gates, a Phase-1 readiness check, risk register and owner map.

A comprehensive project management guide for submitting academic papers to the AAMAS conference. It details all critical milestones, including venue fit, evidence locking, abstract submission, double-blind review, rebuttal, and final camera-ready preparation. Essential for managing complex research involving game theory and multi-agent systems.

Provides comprehensive style guidance for writing and refining scientific manuscripts for Acta Automatica Sinica (AAS). This guide covers the structure of the reporting abstract (Purpose/Method/Result/Conclusion), handling bilingual requirements, formatting rules for equations, figures, and adherence to national standards for units and citations (GB/T 7714). Ideal for papers in control theory, robotics, and intelligent systems.

This skill guides users through the process of assessing if their academic manuscript aligns with the scope and standards of *Accounting and Economics Research*. It covers journal positioning, required structure (abstract, citations), methodological rigor, and common pitfalls, helping researchers optimize their writing for specific academic venues.

This comprehensive guide helps authors position and structure systems-focused manuscripts for top-tier conferences like SOSP. It covers defining the core contribution (abstraction, architecture, mechanism), optimizing the narrative for systems reviewers, and strengthening the empirical evidence bar in operating systems and distributed computing.

This comprehensive guide outlines the entire end-to-end workflow for submitting and presenting at ACM Multimedia (ACM MM). It breaks down the complex process into distinct phases—from initial thematic scoping and track selection, through the OpenReview abstract submission, paper and supplement delivery, rebuttal, decision, camera-ready preparation, and final conference presentation. It provides actionable advice, risk mitigation strategies, and re-targeting options for both success and rejection.

This comprehensive guide serves as a critical pre-submission checklist for academic papers targeting high-tier journals, such as *Accounting Research*. It meticulously details complex formatting conventions, including footnote practices, author-date citation styles, abstract length limits, and required article length. The guide also emphasizes critical steps like ensuring double-blind anonymity and adhering strictly to the journal's online submission system, helping authors avoid common rejection reasons related to format and identity leakage.