Skill UI

This comprehensive tool provides a multi-stage verification pipeline for the RuView system. It executes full Rust workspace tests, runs a deterministic Python proof (Trust Kill Switch) to detect behavioral drift, and generates a detailed ADR-028 witness bundle. Use this before merging pull requests or when creating an official attestation package for recipients.

Provides comprehensive guidelines for authors submitting papers to Acta Automatica Sinica (AAS). It details how to organize and present anonymous, reproducible code, data, and experimental artifacts to enhance the credibility and rigor of research in control, automation, and pattern recognition, supporting the double-blind review process.

A comprehensive guide for computer science authors targeting high-performance parallel and distributed computing venues like HPDC. It assists in conference fit evaluation, manuscript re-framing (from journal/arXiv to conference narrative), identifying evidence gaps, and structuring contributions for optimal review success in cloud/HPC systems and distributed settings. Ideal for determining submission strategy.

A comprehensive guide for positioning research manuscripts for the ACM SIGGRAPH I3D Symposium. It covers core topics like real-time rendering, interactive 3D systems, and GPU algorithms, advising authors on how to frame their work, structure evidence, and compare it against related academic venues to maximize submission success.

A comprehensive guide for authors submitting materials science and physical metallurgy manuscripts to Acta Materialia. It emphasizes the necessity of establishing a clear processing–structure–property mechanism, requiring rigorous, quantitative characterization (e.g., TEM, XRD) and detailed mechanistic explanations over simple reports of improved performance. Use this tool for fit assessment and manuscript re-framing.

This comprehensive skill provides in-depth guidance for authors targeting Advanced Materials. It covers journal positioning, scope fit (e.g., soft matter, 2D materials, energy), the required depth of evidence (methodology and characterization), and specific house style rules. Use this to re-frame your manuscript and ensure it meets the high standards for performance claims and scientific rigor expected by top-tier materials journals.

This comprehensive guide provides rigorous standards for advanced materials manuscripts. It mandates that structure–property claims must be validated through multiple, complementary characterization techniques (triangulation). It also details best practices for benchmarking against the state-of-the-art, ensuring reproducibility, and correctly partitioning core information between the main text and supplementary materials.

A comprehensive guide for authors submitting high-impact materials research. It details how to select expert referees (covering synthesis, device, and application domains) and provides actionable strategies to pre-empt common reviewer objections—such as claims of incremental advance, insufficient characterization, or weak benchmarking—thereby strengthening the manuscript's overall rigor and maximizing publication success.

A comprehensive guide for researchers in electronics and signal processing preparing submissions to Acta Electronica Sinica (AES). It outlines best practices for proactively structuring, documenting, and disclosing research artifacts—including code, datasets, and hardware designs—to maximize the paper's credibility and chances of acceptance, even without mandatory journal badges. Covers anonymization, reproducibility standards, and proper disclosure in the manuscript.

A comprehensive guide for authors submitting to top-tier electronics journals. It provides detailed methodologies on structuring experimental chapters, ensuring comparison fairness, achieving statistical rigor, and presenting reproducible results to withstand demanding peer review scrutiny.

This guide provides expert principles for designing and auditing system-level experiments in computer architecture (e.g., for ASPLOS-level conferences). It details the proper usage of various instruments—from real silicon and FPGAs to cycle-level simulators and analytical models—ensuring that every claim is matched to a valid, stated error model. It emphasizes workload selection, establishing strong baselines, performing rigorous ablation studies, and honestly reporting measurement noise and limitations to maintain scientific credibility.

This guide outlines the rigorous standards for evaluating systems research, particularly for top-tier conferences like ATC. It provides detailed instructions on designing reproducible experiments, establishing fair baselines, utilizing realistic workloads, and reporting critical metrics such as tail latency, variance, and resource cost, ensuring the highest level of scientific rigor.