Skill UI

This workflow acts as a router for writing rigorous pure mathematics manuscripts, specifically targeting the high standards of journals like the Annals of Mathematics. It guides the user through the entire lifecycle—from initial scope assessment and structuring proofs, to refining exposition, and managing revision cycles based on expert referee reports.

This guide helps researchers determine the suitability of their energy-related manuscripts for the Applied Energy journal. It shifts the focus from single-device performance or component novelty to generalizable, systems-level insights. Key areas include energy-systems modeling, decarbonization pathways, techno-economic analysis (TEA), life cycle assessment (LCA), and assessing integrated energy transitions across sectors.

A comprehensive checklist designed for authors preparing academic manuscripts for submission to top-tier journals. It guides users through critical pre-submission steps, including theoretical fit assessment, double-blind anonymization procedures, adherence to strict formatting guidelines (e.g., APA style, length norms), and verifying all required metadata for the editorial system. Use this guide before hitting the final submit button.

This tool guides researchers to elevate a simple research topic into a profound theoretical puzzle suitable for top-tier organizational science journals like ASQ. It helps identify the core anomaly, the sociological tension, and the surprising insight required to challenge existing theory and generate new, generative research avenues.

This guide details how to read, interpret, and synthesize artifacts from the central shared workspace, known as the 'bench.' It provides a structured approach to gathering findings, reports, and assessments left by various modules (desks). Use this skill to build comprehensive context, understand cross-desk dependencies, and summarize complex information for an operator.

This comprehensive guide helps authors assess the suitability of their manuscript for the Biomaterials journal. It emphasizes the journal's core requirement: dual rigor. A successful submission must integrate thorough materials design and characterization with genuine biological evaluation (in vitro/in vivo), crucially establishing a mechanistic link between material properties and biological outcomes. Use this tool for venue selection, manuscript re-framing, and pre-submission self-assessment against high academic standards.

This skill acts as a comprehensive router for writing high-impact scientific manuscripts, such as those intended for Cell Press journals. It does not perform specialized analysis but guides the user through the optimal sequence of steps—from initial scope assessment and study design to statistical rigor, figure presentation, and final revision. Use this when diagnosing manuscript bottlenecks or determining the next logical writing stage.

This comprehensive guide outlines best practices for packaging and releasing scientific artifacts—including code, training configurations, demonstration data, and policy checkpoints—for robotics research papers. It details how to prepare materials for anonymous reviewer assessment and for durable public release, ensuring the work is fully reproducible by the academic community.

This comprehensive guide helps authors determine the suitability and necessary framing for research related to environmental contamination. It mandates moving beyond simple pollutant detection, requiring rigorous evidence to connect contaminants to their fate, transport, and demonstrable ecological or human health impact. Essential for method validation, QA/QC, and scientific rigor.

This comprehensive guide assists authors in strategically positioning their computer vision manuscripts for the European Conference on Computer Vision (ECCV). It covers conference fit assessment, manuscript re-framing, required evidence (e.g., ablations, baselines, failure modes), and structural advice to ensure the work aligns with ECCV's scope and current review policies. Use this tool for venue selection and submission preparation.

A comprehensive guide to preparing accountability artifacts for AI research papers, particularly for venues like FAccT. It covers the necessary documentation genres—including datasheets for datasets, model cards for models, and impact assessments—to ensure transparency, verifiability, and accountability regarding claims of fairness and harm mitigation in AI systems. The focus is on making research outputs rigorously traceable and ethically responsible.

This skill is a comprehensive fit assessment tool for authors submitting applied corporate finance manuscripts to the Financial Management journal. It guides users on the journal's specific scope, required empirical rigor, ideal article structure, and common desk-reject themes. It helps authors position their work for maximum relevance to both academics and industry practitioners.