Skill UI

A comprehensive guide for designing and presenting rigorous experiments for submissions to the Journal of Software (JOS). It guides users through setting clear Research Questions (RQ), selecting real-world datasets and baselines, applying advanced statistical testing (effect size, significance), conducting ablation studies, and addressing threats to validity (internal, external, conceptual). This ensures the evidence strongly supports the claims, meeting top-tier academic standards.

This guide helps researchers structure academic manuscripts submitted to the Journal of Software (JOS). It outlines the critical division between core contributions (which must reside in the main text) and supporting details (which belong in appendices or supplementary materials). Learn how to properly manage experimental results, proofs, and supplementary data to ensure the main narrative remains self-contained and highly impactful.

This comprehensive guide details the rigorous standards and specific criteria for manuscripts targeting the journal Joule (Cell Press). It covers the scope fit, method requirements, and house style for sustainable energy research, including photovoltaics, advanced batteries, and fuel cells. Authors must ensure their work is system-aware, full-cell tested, and supported by robust techno-economic and mechanistic evidence to meet top-tier academic publishing expectations.

A comprehensive guide for drafting or polishing academic manuscripts intended for the Journal of Public Administration Research and Theory (JPART). It ensures the paper reads as a theory-driven contribution supported by rigorous evidence, adheres to OUP author-date style, and meets strict word count limitations. Focuses on structuring the abstract, introduction, and theoretical argument.

A comprehensive guide for structuring and designing high-impact tables and figures for top-tier academic journals. It emphasizes making every exhibit self-contained, economically legible, and rigorously supported by key data magnitudes and confidence intervals, ensuring clarity for professional peer review.

A comprehensive guide detailing how to effectively distribute content across the three components of a major conference submission: the core content pages, the optional appendix, and the cited external repository. It provides best practices for content triage, ensuring that only load-bearing, reviewer-visible claims are placed in the limited space, while supporting details are properly migrated or relegated to the repository.

A comprehensive guide for auditing and planning the analysis of linguistic manuscripts. It emphasizes that the analysis must credibly support the theoretical claim, covering quantitative modeling (mixed-effects models in R), phonetic measurements, and corpus statistics. Use this skill to stress-test the analysis chain, ensuring rigor and transparency in all generalizations.

This guide provides methodological standards for defending the empirical design of a language manuscript. It covers various subfields—including fieldwork, corpus construction, phonetics, and typological comparison—ensuring that the evidence base is transparent, rigorous, and directly supports the stated theoretical claims. Use this when justifying data collection methods or addressing reviewer concerns about evidence validity.

This skill generates validated local artifacts (PNG, JPEG, or PDF) from public HTTP(S) web URLs using the Latchshot service. It is ideal for creating visual reports, quality assurance documentation, or social media previews of public web content. Note that this tool only supports public pages and cannot access private, authenticated, or restricted content.

This guide details how to conduct rigorous, reproducible numerical simulations for mathematical finance research. It emphasizes that numerical experiments must strictly support a theoretical theorem (e.g., convergence rates, error bounds) rather than performing empirical data fitting. Learn how to properly specify schemes, report theoretical vs. empirical error rates, and maintain full reproducibility to meet high academic standards.

A comprehensive guide for authors writing mathematical finance manuscripts. It specifies the rigorous standards for presenting figures, numerical tables, algorithms, and dependency maps, ensuring every visual exhibit supports a formal theorem or proposition. It advises on reporting numerical settings, avoiding empirical claims, and structuring evidence to aid theoretical comprehension rather than serving as standalone proof.

This guide details the rigorous process of selecting and structuring academic content for venues with extremely strict page limits, such as major computer science conferences. It teaches authors how to 'triage' material, classifying information into critical, supportive, or discardable categories, ensuring the core argument remains visible and complete even when traditional supplementary files are prohibited.