Skill UI

This skill guides the systematic gathering and structuring of literature for comprehensive academic reviews, such as an Annual Review of Psychology (ARPsych). It ensures broad coverage by executing traceable searches (database sweeps, citation chasing) and building a detailed evidence matrix (one row per finding). This establishes a robust, documented base of evidence, allowing the user to focus their analytical contribution later without sacrificing completeness.

This skill guides art historians on gathering, weighing, and citing non-visual, documentary, and material evidence for academic articles. It covers citing primary sources (archives, contracts), reconstructing provenance chains, interpreting technical reports, and ensuring that all scholarly claims are rigorously traceable to verifiable sources rather than mere assertion.

A comprehensive guide for placing art historical arguments within the broader context of scholarly debate and historiography. It teaches users how to trace foundational scholarship, identify precise gaps in existing research, and clearly establish the intellectual novelty of their contribution for a generalist academic audience.

This guide outlines comprehensive standards for creating self-contained, reproducible, and highly professional tables and figures for top-tier academic journals. It covers best practices for econometric reporting, including Monte Carlo error presentation, consistent precision, adhering to booktabs style, and ensuring every piece of data is traceable back to a fixed script and seed.

This guide helps researchers translate academic findings into rigorous, evidence-grounded implications for policy, governance, and practice concerning global environmental change. It stresses that implications must be specific (naming actors and levers), honest about scope and uncertainty, and directly traceable to the study's results, avoiding generic overstatements.

This comprehensive guide teaches authors how to structure and write professional rebuttals to reviewers' comments (R&R). It covers addressing complex critiques across theory contribution, advanced methodologies (e.g., HLM, CMV), measurement validity, and conflicting reviewer opinions. It ensures responses are highly specific, traceable, and academically rigorous.

A comprehensive guide for constructing rigorous and auditable exhibits (tables and figures) in academic manuscripts, particularly for Organization Studies and process modeling. Learn how to structure data-to-theory evidence tables, process models with explicit mechanisms, and data structure figures to allow reviewers to clearly trace the inference from raw data to theoretical constructs, significantly enhancing the paper's methodological rigor.

This guide outlines the rigorous standards required for submitting top-tier academic papers, such as those for ACM SIGCOMM. It instructs authors on how to transition from general claims to highly evidence-based arguments by focusing on measured operational pain, defining design principles, and pairing every performance claim with concrete testbed, trace, or deployment evidence. Essential for researchers in networking and systems.

A comprehensive guide on structuring the 'Related Work' section for top-tier Information Retrieval (IR) conferences (like SIGIR). Learn to trace the lineage of your research through canonical history (e.g., BM25, ColBERT), mechanically articulate your technical 'delta' (novel contribution), and avoid common pitfalls like venue misattribution and insufficient contrast.

This comprehensive guide outlines the mandatory steps for transforming an accepted, anonymized academic paper into the final ACM Digital Library Camera-Ready format. It covers de-anonymization, adhering to ACM metadata standards (DOI, ORCID, CCS concepts), integrating reviewer feedback, and ensuring permanent reproducibility of code and traces.

A comprehensive guide for structuring the 'Related Work' section for top-tier HCI conferences (e.g., UIST). This document emphasizes that the section must function as a novelty proof, not a literature survey. It teaches authors to organize content by capability delta, utilize detailed comparison tables, and trace three critical lineages: technique, toolkit, and commercial practice, ensuring the work's unique contribution is clearly established.

This guide outlines the rigorous process for authors responding to a "revise" verdict at top-tier academic conferences. It teaches authors how to treat reviewer feedback as a formal contract, manage a tight revision timeline, structure necessary experiments, and write a highly traceable change document that explicitly addresses every required point.