Skill UI

A structured guide for authors responding to major or minor revisions in academic journals. It teaches strategies for managing interdisciplinary reviewer feedback, reconciling conflicting points, protecting the core scientific contribution, and maintaining a professional, persuasive tone when writing the rebuttal letter to the editor.

Genomic Intelligence provides powerful, hosted transformer models for advanced genomic analysis. Users can input a DNA/FASTA sequence and receive structured predictions for key regulatory features, including promoter regions, splice sites, enhancer activity, chromatin state, gene expression (log TPM), and de-novo gene annotation. This service operates via a REST API or MCP server, eliminating the need for local GPU hardware or model weights, making complex bioinformatics accessible through sequence input.

This skill guides authors in developing strong, portable, and highly structured theoretical arguments for manuscripts submitted to top journals like Governance. It focuses on moving beyond mere description by identifying causal mechanisms, defining rigorous scope conditions, and establishing testable, comparative concepts. It helps ensure the theory can travel across different cases and contexts.

This guide provides structured criteria for selecting high-quality, publishable topics for academic law review submissions, such as the Harvard Law Review. It emphasizes that successful topics must possess broad legal significance, be timely (linked to recent legal developments), and contain a clear normative argument, moving beyond mere descriptive surveys.

This detailed project management skill provides a comprehensive, backward-planning guide for submitting to highly structured academic conferences, such as HPCA. It maps out critical milestones—from initial venue fit and evidence locking to review, revision, and final camera-ready submission—while identifying common failure modes and coordination requirements to maximize acceptance chances.

A comprehensive preflight checklist designed for submitting manuscripts to academic journals (e.g., Human Relations). It guides authors through critical pre-submission requirements, ensuring compliance with double-anonymity, strict word limits, SAGE Harvard citation style, structured abstracts, and mandatory declarations (AI use and data transparency). Use this tool to validate your manuscript before submission and minimize desk rejections.

This guide provides a structured framework for drafting professional rebuttals to academic conference reviews, such as ICASSP. It emphasizes the critical difference between correcting factual errors and addressing legitimate gaps. The focus must be on providing a clean rationale for the technical committee's acceptance, adopting a professional tone suitable for a single-blind review process, and anchoring all claims to the submitted material.

A comprehensive guide for authors on how to structure and write a persuasive, one-page rebuttal for major academic conferences (e.g., ICCV, CVPR). It outlines the strict constraints (one page, no external links, no new contributions) and provides a structured 7-day workflow, helping authors prioritize arguments, correct misstatements, and maintain a professional, factual tone under extreme time pressure.

This guide outlines the professional and technical process for authors responding to peer reviewers after a major conference submission (e.g., ICDT). It emphasizes that the revision must be a substantive correction—closing all identified proofs gaps, clarifying models, and documenting changes—rather than a mere argument or debate over taste. It provides a structured, point-by-point approach for maximizing the chances of acceptance.

Details the rigorous, structured review process for ICDT (International Conference on Database Theory). The model emphasizes that referees scrutinize proof correctness, not just novelty. It guides authors through the two-cycle submission process, explaining the strategic implications of Accept, Revise, and Reject decisions to ensure deep theoretical foundations.

This skill guides the transformation of quantitative research findings (models, experiments, empirical results) into structured, actionable managerial insights. It enforces the 'Condition-Decision-Effect' framework, ensuring that every policy suggestion is directly traceable to specific data points, parameters, or experimental findings. Essential for authors aiming to publish high-impact academic papers in management science.

A comprehensive guide for researchers responding to 'Revise and Resubmit' (R&R) decisions, particularly in Comparative Political Studies. It provides a structured framework for drafting the response letter, ensuring every point from reviewers and editors is addressed point-by-point. Focus areas include strengthening comparative leverage, addressing rival explanations, and maintaining professional, evidence-based argumentation.