Skill UI

A comprehensive routing guide for developing and refining academic manuscripts targeting the Journal of the European Economic Association (JEEA). This skill diagnoses bottlenecks at every stage—from initial topic selection and theory modeling to empirical robustness checks and rebuttal strategy—ensuring the submission meets the high general-interest standards of top-tier economics journals.

This guide details the entire review process for the Journal of Marketing Research (JMR), from initial editorial screening and potential desk rejection to the double-anonymized peer review stage. It explains the EIC/Coeditor routing model, the requirement for two independent reviews for acceptance, and provides guidance on interpreting critical feedback (rigor vs. substance) found in decision letters. Use this before submission to set expectations, or after receiving a decision to understand the core concerns.

This guide assists researchers in determining whether a manuscript's topic, methodology, and theoretical contribution are appropriate for a specific theory-building management journal. It provides detailed criteria for evaluating conceptual relationships, suitable methods (SEM, experiment, case study), and appropriate re-routing suggestions for papers that are misaligned with the target journal's scope (e.g., pure math models, macro policy evaluation).

Provides a comprehensive guide to the Organization Science submission and review process. Learn about the decentralized senior-editor model, conflict-of-interest routing, double-blind preparation, and how to interpret complex decision letters (accept, reject, R&R). This resource is essential for authors preparing high-quality manuscripts for this top-tier academic venue.

A comprehensive guide to the Operations Research (OR) academic publishing review process. This guide explains the departmental editorial routing, the soft double-anonymous review model, and how to interpret complex decision letters (Reject, Major/Minor Revision, Accept). It details the roles of Area and Associate Editors, and provides actionable strategies for authors to strengthen their technical contributions and respond effectively to reviewer feedback.

This comprehensive guide helps researchers decide the optimal venue for their ubiquitous computing (Ubicomp) paper. It provides detailed criteria for distinguishing contributions—such as human-centricity, core insight, and system focus—and advises on routing between major conferences (PerCom, MobiCom, SenSys) and journals (UbiComp/IMWUT) based on contribution shape and publication model.

A sophisticated model-routing advisor for generating, redlining, or rewriting contract language. It determines the optimal LLM based on user constraints (stakes, cost, speed, jurisdiction) and grounds its recommendations in legal benchmarking evidence. It provides a primary model, fallback, and critical warnings.

This skill acts as an expert model-routing advisor for reviewing legal agreements (NDAs, MSAs). Instead of reviewing the contract itself, it analyzes the document's nature—such as dominant sub-task (extraction, reasoning, redlining), stakes, and length—to recommend the optimal primary and fallback LLM. It provides comprehensive decision support, mitigating common errors and suggesting necessary human verification points.

This tool acts as a model-routing advisor for extracting structured data from complex legal documents, such as contracts. It analyzes key parameters—including stakes, cost, required speed, and document type (e.g., scanned vs. clean digital)—to recommend the optimal LLM model combination (Primary, Fallback, Avoid). It provides critical decision support, guiding users on which AI approach to use for extracting clauses, dates, and parties, without performing the actual extraction.

A model-routing advisor for complex legal research and analysis tasks, including issue-spotting, rule application, and case law interpretation. It guides users in selecting the optimal Large Language Model (LLM) by assessing critical factors such as stakes (risk), cost, speed, and data jurisdiction. It provides a structured recommendation (Primary, Fallback, Avoid) to ensure decision support, not legal advice.

This tool serves as a model-routing advisor for high-stakes legal translation tasks, covering contracts, statutes, and case law. It does not perform the translation itself, but instead provides expert decision support by recommending the optimal primary and fallback LLMs based on language pair, required privacy level, cost, and speed. Crucially, it emphasizes that human legal-linguist review is mandatory, as no single LLM can guarantee certified legal accuracy.

This skill covers strategies for optimizing Large Language Model context windows to prevent context rot. It includes techniques like summarization, trimming, routing, and prioritization to manage token budgets effectively. Developers can use these methods to build multi-turn conversation systems where context length is a constraint, leveraging tools like tiktoken and LangChain for implementation.