Skill UI

This guide details the rigorous process of condensing highly technical papers, especially in signal processing, into extremely constrained formats (e.g., 4-page conference submissions). It teaches structure, emphasizing the immediate presentation of the core signal-processing contribution, the mechanism, and task-matched metrics on the first page, ensuring the argument survives review by deep subfield experts.

A comprehensive guide for designing, executing, and reporting high-stakes research studies in Software Engineering (SE), tailored to meet the stringent standards of top academic conferences like ICSE. It covers best practices for evidence-claim matching, advanced statistical rigor (non-parametric tests, effect sizes), handling AI model ablations, and implementing threats-driven design to ensure findings are robust, valid, and maximally reproducible.

This guide provides detailed structuring advice for writing empirical software engineering (SE) research papers for top-tier conferences like ICSE. It focuses on adopting the required academic rigor, including using Research Questions (RQs) as the core skeleton, mastering the 'Threats to Validity' section, and calibrating claims for verifiability. Learn how to structure the abstract, compress content into a 10-page limit, and address reviewer expectations in the SE community.

This guide provides stringent rules and structural advice for authors tackling academic papers, particularly in the domain of software maintenance and evolution. It emphasizes leading with the maintenance problem, stating research questions as contractual measurements, pairing every claim with proportional evidence, and rigorously discussing threats to validity. Use this when revising academic submissions to ensure maximum impact and technical rigor for the field.

This guide provides comprehensive strategic advice for authors targeting the IEEE Visualization Conference (IEEE VIS). It covers conference positioning, scope fitting, required evidence (visual encoding, evaluation), and helps authors re-frame their work from journal or arXiv formats into a selective, high-impact conference narrative. Use it when determining if a research manuscript is appropriate for IEEE VIS.

This guide helps researchers evaluate whether a security or privacy project is a suitable fit for top-tier academic conferences like IEEE S&P. It covers critical fit tests, such as establishing a defensible threat model and ensuring end-to-end evidence closure. It also provides advice on SoK paper formats, routing among major security venues (USENIX, CCS, NDSS), and adhering to submission rules like one-year embargoes.

A comprehensive toolkit designed for international macroeconomics research, ensuring that headline estimates are stable and reliable. It systematically tests the robustness of findings against common methodological threats, such as leaving out individual countries, changing sample periods, controlling for global common shocks, or varying estimation specifications. Essential for submitting high-impact academic papers.

This comprehensive guide outlines the strict technical and structural requirements for the IROS supplementary video, which serves as primary evidence for submitted research. It details constraints such as the 60-second limit, 10MB size cap, and necessary formats. The guide emphasizes presenting uncut real trials, including labeled failures, maintaining honest playback speed, and performing thorough anonymization to maximize academic credibility.

This skill provides a comprehensive guide for structuring advanced humanities essays, particularly for major academic journals. It emphasizes building a clear, thesis-driven argument that unfolds naturally, avoiding rigid IMRaD formats. Use it when outlining, restructuring confusing drafts, or needing to ensure the argument's significance remains visible throughout the body.

A comprehensive guide for econometricians submitting manuscripts to top journals. It details how to structure analyses for full reproducibility, including using master scripts, pinning software versions, and exporting results to plain-text formats. Coverage includes advanced robust inference techniques such as HAC, cluster bootstrapping, and weak-IV diagnostics, ensuring the work satisfies rigorous archival standards.

A comprehensive guide for designing robust, causal econometric studies using large-sample archival data. It details how to identify valid sources of variation (e.g., DiD, RD, IV), mitigate endogeneity threats (e.g., reverse causality, selection bias), and construct reproducible data pipelines required for top-tier academic research in accounting.

A comprehensive guide for designing and defending the causal identification strategy in empirical corporate finance research. It covers advanced methods such as Staggered DID, Instrumental Variables (IV), Regression Discontinuity Design (RDD), and Event Studies, providing checklists to address crucial econometric threats like endogeneity, selection bias, and reverse causality for high-impact publications.