Skill UI

This framework guides the creation of mandatory STAR Methods, ensuring scientific manuscripts meet the highest standards of transparency and reproducibility. It mandates the systematic inclusion of Key Resources Tables (KRT), detailed resource availability, experimental model specifications, step-by-step methods, and consolidated statistical analysis (QSA). Ideal for researchers needing to structure complex biological or chemical research findings for publication.

A comprehensive workflow guide for authors facing Major/Minor Revisions (R&R) in academic journals. It details systematic steps for prioritizing feedback, particularly from Department and Associate Editors, strengthening empirical or analytical evidence, adhering to page constraints, and structuring a precise, point-by-point rebuttal letter while maintaining operational centrality.

This guide provides an expert methodology for designing and auditing Natural Language Processing (NLP) experiments for top-tier academic submissions. It instructs researchers on how to map meta-review claims to measurable evidence, ensure budget-fair comparisons, and systematically address potential reviewer probes (scope, fairness, contamination, etc.) to maximize publication rigor.

A comprehensive audit tool designed to ensure academic paper compliance before submitting to major AI conferences like NeurIPS. It systematically checks adherence to the CFP, double-blind anonymity across all assets (PDF, code, data, supplement), correct track selection, and avoids common desk-rejection pitfalls, ensuring the submission is ready for OpenReview.

This comprehensive guide details the strategy and structure required for authors responding to major or minor revisions (R&R) of academic manuscripts. It teaches how to systematically address multiple, often conflicting, interdisciplinary reviewer comments, focusing on point-by-point responses, conflict reconciliation, and enhancing the overall manuscript argument to maximize acceptance chances.

This guide provides a comprehensive framework for authors responding to major journal revisions. It teaches how to structure a technical, point-by-point rebuttal, systematically closing proof gaps, strengthening assumptions, incorporating missing baselines, and preparing the entire codebase and data for professional reproducibility review.

This skill automates the complex process of transforming raw research papers (PDF or URL) into structured, knowledge graph-ready resources for OpenViking. It executes a rigorous workflow: reading the entire paper, compiling an ARA-style artifact directory, validating the content against established schemas, and finally ingesting the structured data into the OpenViking knowledge base using the `ov add-resource` command. It ensures all evidence, claims, and logical relationships are captured systematically.

This tool acts as an orchestrator for writing *Progress in Human Geography* manuscripts. It guides authors through the entire writing process by routing the piece based on its lifecycle stage, genre (Review Article vs. Progress Report), and whether the topic is truly review-worthy. It systematically ensures the resulting work is synthetic, critical, and focused on developing a core academic argument.

This comprehensive guide teaches researchers how to systematically respond to peer reviews for high-impact journals. It covers triaging reviewer comments into 'Do,' 'Defend,' 'Defer,' and 'Do-partial' buckets, prioritizing necessary experiments, structuring the response letter, and maintaining a respectful, evidence-led tone. Essential for navigating the publication process and preserving claim integrity.

A comprehensive guide for converting an anonymized academic submission into the final, polished camera-ready version for ACM proceedings. Details systematic de-anonymization, mandatory ACM rights/metadata completion (eRights, CCS Concepts), permanent DOI linking for artifacts, and critical production checks required for two-column acmart formatting.

This guide details the rigorous methodology for conducting systematic literature reviews and meta-science pieces, particularly for integrative reviews in psychology (PoPS style). It instructs researchers on how to systematically gather evidence across multiple sub-areas by utilizing techniques like forward/backward snowballing, comprehensive database sweeps (e.g., PsycINFO), and developing detailed evidence matrices. The focus is on synthesizing findings and establishing replicable search protocols to ensure academic rigor and comprehensiveness, moving beyond simple summarization.

A comprehensive guide for constructing academic exhibits, such as conceptual framework diagrams, 'who-found-what' summary tables, and meta-science plots, for literature review and perspective pieces. It ensures adherence to APA style, emphasizes comparing like-with-like constructs, and mandates systematic data sourcing to maintain scientific credibility and reproducibility.