Skill UI

A comprehensive guide for authors targeting the Annual Review of Ecology, Evolution, and Systematics (AREES). It details the journal's strict requirements for authoritative syntheses, covering scope, conceptual structure, methodology, and house style. Use this tool when proposing or writing high-level review articles that define future research directions in Ecology, Evolution, and Systematics.

This tool serves as the central entry point and orchestrator for drafting an American Political Science Review (APSR) manuscript. It guides authors through the complex academic publishing lifecycle by determining the paper's specific track (e.g., Regular Article, Synthesis, Registered Report) and its current developmental stage (e.g., Idea, Theory, Data Analysis). It does not draft content; rather, it routes the user to the most relevant sub-skill for the next step in the writing process.

A comprehensive guide for authors targeting ASPLOS, a premier conference at the intersection of programming languages, operating systems, and computer architecture. This tool assists in positioning cross-layer evidence, framing the contribution, and ensuring the manuscript meets the strict technical and academic standards required for top-tier systems research.

This guide outlines the process for converting accepted academic research tools and data into highly polished, reproducible, and reusable packages for the ASE Artifact Evaluation track. Learn how to meet the criteria for earning 'Artifacts Available' (DOI archiving) and 'Artifacts Reusable' badges, ensuring your work is durable and accessible to the wider research community.

This guide details the mandatory steps for preparing the final, camera-ready version of an ASE conference paper. It covers systematic de-anonymization (restoring real author details, tools, and grants), utilizing the extra content page for incorporating review feedback, finalizing permanent DOI-archived data availability statements, and ensuring strict adherence to mandated dual IEEE/ACM templates and metadata requirements.

A comprehensive guide for researchers and reviewers designing or auditing Automated Software Engineering (ASE) evaluations. It outlines the necessary rigor, including the use of real subject systems, establishing fair and runnable tool baselines, performing targeted ablations (especially for LLMs), defining explicit oracles, and ensuring full data and model provenance to guarantee reproducible and scientifically sound results.

A detailed guide for authors writing the Related Work section of an Automated Software Engineering (ASE) paper. It teaches the crucial 'delta argument' methodology, emphasizing that positioning must be against prior automated tools, covering multiple SE literature lanes, and conducting fair, head-to-head empirical comparisons to clearly delineate the novelty of the proposed work.

A comprehensive guide for researchers submitting to ASE (Automated Software Engineering). It details mandatory requirements for ensuring research reproducibility, covering the Data Availability Statement, providing anonymized and runnable tools, pinning system provenance (commits, versions, SHAs), and managing cached LLM outputs. Essential for passing rigorous peer review.

This guide details best practices for ensuring scientific rigor and reproducibility in complex system research. It outlines the necessity of capturing the full execution state—including hardware steppings, BIOS revisions, kernel configurations, toolchain versions, and dataset provenance—to prevent data decay and validate findings against environmental drift.

A comprehensive audit guide for the final pre-upload stage of major academic conference submissions (e.g., ASPLOS). This tool ensures compliance across critical areas, including strict 11-page limits, mandatory LaTeX templates, correct full-name citation formatting, hyperlinked DOIs, double-blind anonymity, and accurate HotCRP form completion.

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 tool acts as a diagnostic router for writing manuscripts intended for the Administrative Science Quarterly (ASQ). It does not write the content but guides the user through the entire research and publication cycle—from initial topic selection and theory development, through methodology, data analysis, and final submission/rebuttal. It diagnoses bottlenecks and suggests the next specialized skill to focus on.