Skill UI

A comprehensive late-stage review pass designed for academic manuscripts targeting Organization Science. This skill ensures the paper effectively front-loads the core argument and contribution, translating complex ideas for an interdisciplinary, micro-to-macro audience. It enforces strict adherence to INFORMS house style, structural rigor, and cross-level consistency.

A comprehensive guide for selecting and justifying research designs in Organization Studies. It covers rigorous standards for both qualitative (ethnographic, process, historical) and quantitative approaches. The core principle emphasized is that the design must directly illuminate the underlying organizational mechanism or process, not just measure endpoints.

A comprehensive checklist designed for authors submitting manuscripts to academic journals, specifically modeled after the requirements for Organization Studies (OS). It covers critical steps such as ensuring proper double-anonymization, adhering to strict word limits (e.g., 13,000 words), formatting guidelines (SAGE Harvard), and structuring abstracts and keywords. This tool ensures the manuscript is submission-ready before the final upload.

This router provides a structured roadmap for developing a manuscript targeted at Organization Studies (OS). It guides users through the complex, multi-stage academic process, from initial theoretical concept selection and method design to data analysis and final rebuttal. It diagnoses bottlenecks and dictates the precise sequence of specialized theoretical and writing skills required to meet the high theoretical standards of OS.

A comprehensive guide for designing and reporting rigorous computational studies in Operations Research (OR) manuscripts. It covers best practices for selecting benchmark instances and strong baselines, applying statistical methods to stochastic output (e.g., confidence intervals), and adhering to mandatory code and data deposit standards (ORJournal workflow) to ensure full reproducibility.

A comprehensive guide for structuring academic system evaluation papers (e.g., OSDI). It dictates how to frame experiments around core research questions, select robust baselines, utilize realistic workloads (including adversarial tests), and apply rigorous measurement disciplines (e.g., reporting distributions, p99s) while maintaining conciseness within strict page limits.

This skill allows agents to retrieve and inject relevant operational memories from the OpenViking experience library into the current prompt context. It is designed for complex, multi-step tasks involving tool usage, code operations, or decision-making workflows. By searching and reading past successful executions, the agent improves context awareness and decision accuracy, moving beyond simple Q&A.

A comprehensive guide for designing and auditing rigorous empirical evaluations for sensing systems, particularly Human Activity Recognition (HAR). It emphasizes best practices such as leave-one-subject-out cross-validation, using real human subjects under diverse conditions, reporting event-level metrics (e.g., Macro-F1) over raw accuracy, establishing fair baselines, and mitigating data leakage (e.g., subject or session leakage). This ensures that reported results are robust, generalizable, and defensible against academic skepticism.

A comprehensive guide designed to help authors determine the scope fit, required methodology, and stylistic conventions for submitting manuscripts to Physical Review D (PRD). It covers high-energy physics, cosmology, gravitation, and particle astrophysics, ensuring the work is positioned correctly for an archival academic audience.

This guide provides best practices for designing and auditing academic evaluations of programming language features and compilers, following standards used in venues like PLDI. It covers selecting defensible benchmark suites, establishing strong baselines, performing targeted ablations, and measuring multiple performance metrics (runtime, compile time, memory) to ensure research claims are reproducible and scientifically sound.

This is a comprehensive, final preflight checklist designed for submitting scientific manuscripts to PNAS. It guides authors through every critical stage, including assessing broad significance, choosing the correct submission track, optimizing the abstract and significance statement, verifying data integrity, handling ethics approvals, and ensuring all required files and metadata are compliant. It acts as a single gatekeeper before submission.

A comprehensive, final quality control checklist designed for submitting manuscripts to PNAS Nexus. It serves as a master gatekeeper, ensuring compliance across fit, open access licensing (APC/CC BY), structural integrity, statistical rigor, data deposition (DOI/accession numbers), and required metadata. It helps writers confirm nothing is missing before final submission.