Skill UI

A comprehensive methodology for designing scientific and reproducible storage evaluations, particularly for high-stakes submissions. This guide covers controlling device state (aging, preconditioning, TRIM), selecting credible workloads (fio, YCSB), matching metrics (P99.9 latency, bytes-written) to claims, and rigorously testing durability and crash consistency on real hardware.

Provides essential guidelines for designing rigorous, generalizable field experiments in crop research. Covers multi-environment trials (MET), proper randomization, blocking strategies, split-plot designs, and Genotype-by-Environment (G×E) analysis. Use this tool when planning or defending the scientific rigor of an agricultural manuscript.

Provides comprehensive guidelines for field crops researchers submitting manuscripts. The policy mandates reporting deep agronomic context (soil, weather, management, design) and requires authors to prepare a detailed data-availability statement. It ensures the reproducibility and structural completeness of research findings, while also covering guidelines for co-submission and AI use declaration.

This skill provides a comprehensive guide for authors targeting the journal 'Finance and Economics.' It details the journal's disciplinary scope (finance, regional, public finance), required manuscript structure, adherence to formatting rules (keywords, references), and common pitfalls to avoid. It acts as a pre-submission checklist to improve manuscript fit and increase acceptance chances.

This guide provides strict guidelines for structuring and presenting empirical results (tables and figures) in financial management manuscripts. It emphasizes making the main coefficient and its practical economic magnitude legible at a glance, adhering to high-standard journal norms (e.g., Wiley/FMA style). It covers best practices for event-study plots, IV tables, and ensuring standard errors and economic significance are always visible.

Provides comprehensive guidelines for creating durable, verifiable evidence objects (artifacts) for theoretical computer science papers. It details best practices for managing proofs, certificates, checker code, and version histories across different publication formats (arXiv, IEEE Xplore) to ensure long-term academic credibility and reproducibility.

A comprehensive guide for researchers ensuring the highest level of open-science reproducibility for academic submissions (e.g., FSE). It details how to map every research claim (numbers, techniques) to verifiable evidence, pin technical provenance (SHAs, model IDs), manage data availability statements, and achieve defined degrees of reproducibility (Turnkey, Scripted).

Provides rigorous guidelines for analyzing experimental game data and constructing numerical examples for high-level theoretical journals. Emphasizes that analysis must be tightly linked to theoretical claims, such as matching observed outcomes to predicted equilibria, rather than serving as general causal evidence. Covers session-level clustering, structural fitting, and ensuring computational reproducibility.

This skill guides the polishing of prose, abstract, and introduction for manuscripts intended for Games and Economic Behavior (GEB). It enforces a rigorous, idea-first writing style, ensuring the work is highly readable for a broad, multi-disciplinary academic audience (including economics, CS, and biology). Key guidelines include maintaining an abstract under 250 words, structuring the introduction around the core question and result, and motivating formal arguments with clear prose.

Provides comprehensive guidelines for designing scientific exhibits, including figures, tables, maps, and Highlights, for interdisciplinary, policy-relevant manuscripts. It emphasizes making data self-contained, focusing on the human/policy dimensions rather than just biophysical trends, and ensuring accessibility across various formats (grayscale, print).

This comprehensive skill assists authors in determining if their Earth or space science manuscript is suitable for Geophysical Research Letters (GRL). It provides detailed guidelines covering journal positioning, required scope (atmosphere, ocean, solid earth, etc.), the method and evidence bar, strict house style rules (brevity, structure, figures), and a final pre-submission checklist. It is designed to help authors re-frame and maximize the impact of single, highly significant findings.

Provides comprehensive guidelines for safely upgrading GitHub Actions workflows and dependencies. Use this when encountering runtime deprecation warnings (e.g., Node.js or Python migrations). It outlines best practices, such as upgrading one action at a time and pinning releases using immutable commit SHAs, ensuring workflow behavior remains unchanged during modernization and validation.