Skill UI

This comprehensive guide outlines an opinionated set of conventions for building robust Ruby on Rails applications. It covers core architectural principles, including rich models, state-as-records, minimal dependencies, and best practices for CRUD operations and testing. It is mandatory to consult these guidelines whenever designing, writing, reviewing, or refactoring any Rails code.

Provides comprehensive guidelines for designing, auditing, and documenting empirical evidence for high-level AI research submissions (e.g., AAAI). It covers essential methodologies including strong baselines, single-factor ablations, robustness testing (shift, seed, prompt), statistical significance, and ensuring perfect alignment with reproducibility checklists and ethical reporting. Use this guide before submission to ensure empirical evidence strongly supports all claimed AI contributions.

Provides comprehensive guidelines for designing, auditing, and reporting high-rigor multi-agent experiments, especially in game theory and self-play systems. It emphasizes testing the *interaction* claim—such as convergence to equilibrium, truthful behavior, or emergent cooperation—against held-out opponents, populations, and strategic deviations, moving beyond simple single-agent leaderboard scores.

A comprehensive guide for researchers designing and auditing NLP experiments for top-tier conferences. It covers establishing defensible baselines, ensuring evaluation breadth, performing rigorous statistical tests (significance, variance), controlling for data contamination, and structuring detailed functional error analysis. Essential reading for publishing reliable AI research.

This comprehensive guide provides stringent methodological standards for authors submitting papers to ACM Multimedia (ACM MM). It details how to rigorously validate cross-modal claims, ensuring that evidence supports the multimedia contributions. Key areas covered include designing ablations to isolate fusion mechanisms, conducting robust user studies, reporting performance against matched baselines, and maintaining transparency regarding datasets, media licenses, and compute costs.

This skill is a comprehensive tool designed to help authors evaluate the suitability of their economics manuscript for AER: Insights. It guides users through assessing key criteria such as the general interest of a single result, the required conciseness, methodological strength, and adherence to the journal's specific short-format house style and submission guidelines. Use it for venue selection and manuscript re-framing.

This guide provides rigorous methodological guidelines for ensuring the identification strategy in high-impact empirical economics papers (AER: Insights). It covers key areas including Difference-in-Differences (DiD), Regression Discontinuity Design (RDD), Instrumental Variables (IV), and structural parameter identification. It emphasizes the need for extreme methodological clarity, transparency, and conciseness required for top-tier academic publication.

This guide provides rigorous guidelines for creating high-quality figures and tables for complex systems manuscripts, especially in agricultural science. It emphasizes shifting focus from single-factor bar charts to systemic visualizations that reveal interactions, trade-offs (e.g., Pareto fronts), model dynamics, resource flows (Sankey diagrams), and model performance (observed-vs-simulated fit). Exhibits must be self-contained, reproducible, and convey uncertainty.

This guide provides strict guidelines for designing, auditing, and reporting empirical or simulation experiments, particularly for theoretical machine learning and statistics papers. It emphasizes mapping every empirical claim to specific evidence, ensuring statistical rigor (e.g., reporting uncertainty, baselines, seeds), and validating theoretical assumptions rather than optimizing for leaderboards. Essential for research reproducibility.

A comprehensive guide for designing academic exhibits—including maps, photographs, artifact images, and transcripts—for anthropological manuscripts. It emphasizes making exhibits self-contained, ensuring ethical clearance (consent, permissions), and structuring the visual argument to advance scholarly interpretation while adhering to publication guidelines and word budgets.

This comprehensive checklist guides authors submitting theory-only manuscripts to the Academy of Management Review (AMR). It ensures compliance with AOM formatting, rigorous anonymity standards, correct scope definition (must build new theory, no data), and ethical guidelines, minimizing desk rejection risk. It is designed for conceptual, non-empirical work.

A comprehensive guide for authors assessing the suitability of their clinical or translational oncology studies for Annals of Oncology (ESMO). It covers the journal's high standards for rigorous, practice-changing research, including requirements for robust trial design, biomarker validation, adherence to specific reporting guidelines (CONSORT, STROBE), and alignment with ESMO best practices. This is a venue-fit aid, not medical or regulatory advice.