Skill UI

This guide details the structured process for preparing and evaluating research artifacts for major academic conferences like SOSP. It covers badge targeting (Functional, Reusable), cooperative evaluation expectations, and best practices for packaging system-level artifacts, including defining tiers (runnable, provided-hardware, documented-only) and conducting 'kick-the-tires' smoke tests.

This guide helps researchers structure a compelling theoretical argument for social science manuscripts, particularly those in social psychology. It emphasizes elevating mere findings into robust theoretical contributions by explicitly defining the social-psychological mechanism that connects macro social structures, processes, or interactions to individual levels (self, cognition, emotion). It guides users through defining scope conditions, observable implications, and the core structure–individual link.

A comprehensive guide for elevating the logical rigor and conceptual clarity of advanced social science manuscripts. It teaches authors how to explicitly define key concepts, ensure every section directly advances the core proposition, and construct a robust, defensible argumentative chain, particularly useful for theoretical and normative papers.

This skill activates 'Steno Mode,' providing highly compressed, expert-level responses by eliminating filler words and superfluous tokens (up to 40% reduction). It maintains absolute technical precision, making it ideal for technical communications like code reviews, debugging Q&A, and architecture summaries. Users can select four defined levels (lite, brief, court, machine) to control the density, with exactness always taking top priority.

A comprehensive guide for authors submitting technical papers, detailing methods to ensure that all reported claims, figures, and benchmark numbers can be independently regenerated. This involves creating VM-ready, self-contained artifacts, mapping every claim to a specific script, and defining clear reproducibility levels (Turnkey, Scripted) to satisfy conference requirements.

This comprehensive skill acts as a venue-selection and re-framing tool for authors targeting The Lancet Oncology. It provides deep insight into the journal's specific requirements, including methodological rigor (CONSORT, PRISMA), required evidence strength (Phase III RCTs, definitive biomarkers), structural elements (structured abstract, 'Added value' panel), and current submission best practices. Use this guide to assess if your clinical oncology manuscript is sufficiently advanced and impactful for this prestigious global journal.

This guide provides a rigorous methodology for achieving scientific reproducibility in technical and user experience papers (e.g., UIST). It details three essential 'ledgers': the Build Ledger (pinning software, hardware, and environment dependencies), the Measurement Ledger (defining precise protocols for metrics like latency and accuracy), and the Study Ledger (documenting human evaluation tasks). Following these protocols ensures that external researchers can accurately rebuild the artifact and validate reported results.

A comprehensive guide for optimizing computer science manuscripts targeting the USENIX Annual Technical Conference (ATC). It covers core systems research fields (OS, networking, storage, security), defining the required evidence bar (built artifacts, clean evaluation), and re-framing the paper's contribution to align with top-tier systems venue expectations.

A comprehensive guide for positioning research papers for top-tier security conferences like USENIX Security. It covers defining coverage against 'Big-Four' and specialty venues, ensuring novelty across multi-cycle academic pipelines, identifying mechanism-level differentiators, and mastering double-blind citation mechanics for maximum impact.

This guide details best practices for achieving high standards of reproducibility in visual analytics papers, focusing on open materials, verifiable code, and rigorous documentation. It covers mapping figures to data sources, preregistering studies, documenting data provenance, and defining the level of reproducibility achieved (e.g., turnkey, scripted).

A comprehensive guide for structuring the 'Related Work' section in academic papers, especially in Computer Vision (CV). It teaches authors how to strategically position their research contribution by covering multiple literature shelves: vision methods, domain constraints, concurrent arXiv work, and prior art. This ensures the paper clearly defines a unique gap rather than merely listing citations, adhering to double-blind review standards.

A rigorous checklist and guide for conducting causal inference in development economics, specifically tailored to the high standards of top-tier journals like The World Bank Economic Review (WBER). It covers advanced econometric designs (RCT, DiD, RD, IV), focusing not just on estimation but on defining the estimand, addressing external validity, general equilibrium effects, and translating local findings into actionable policy recommendations.