Skill UI

Drafts comprehensive patent claims based on invention disclosures, prior art, and novelty assessments. This skill is crucial for defining the legal scope of intellectual property protection, adhering to specific formatting rules for jurisdictions like US, EP, and CN. It guides the creation of both independent and dependent claims, ensuring maximum defensibility.

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 establishing research reproducibility in Electronic Design Automation (EDA). It details best practices for pinning benchmark suites, disclosing specific tool versions (open/commercial), documenting technology nodes (PDKs), and handling stochastic data flows (seeds, variance). Essential for ensuring that semiconductor design claims and ML-for-EDA results are credible and verifiable by the academic community.

This comprehensive guide outlines best practices for achieving rigorous scientific reproducibility, especially for research involving storage systems and hardware dependencies. It mandates documenting not only the code but also the specific device models, firmware versions, operating states, and full measurement protocols to ensure verifiable results by peer readers.

A comprehensive guide for auditing and improving the scientific rigor of hardware architectural evaluations (e.g., HPCA style). It emphasizes establishing a clear 'fidelity contract' defining tools, scope, and configurations. It requires that all performance claims are backed by credible instruments, mandates capturing full machine state provenance, ensuring honest baseline tuning, and reporting results via per-workload distributions rather than single means.

This comprehensive guide provides best practices for packaging supplemental materials and artifacts for top-tier academic conferences like ICDE. It instructs authors on how to build a robust, reproducible evidence chain, including parameterized workload generators, configuration scripts, and detailed logs. The goal is to ensure that reviewers can quickly and accurately validate all performance claims and technical contributions, making the work 'turnkey' and verifiable.

This guide outlines the rigorous standards for achieving robust reproducibility in robotics research papers, especially those involving physical hardware. It details a two-tier approach, defining results as either fully *rerunnable* (code/simulation) or fully *auditable* (hardware logs/protocols). Key requirements include creating comprehensive hardware specification ledgers, logging detailed sensor data (rosbags), separating deterministic from stochastic claims, and structuring the entire repository for peer review.

A comprehensive style guide for structuring and refining robotics research manuscripts for top-tier conferences like ICRA. It dictates moving from technique-speak to task-first narratives, emphasizing figure-first presentation, rigorous quantification of claims, and adhering to strict page budgets to maximize reviewer impact and clarity.

A comprehensive guide for designing and auditing rigorous experiments for sensing systems and information processing claims. It emphasizes the necessity of measuring performance on real hardware (not simulation), accurately instrumenting ground truth, quantifying energy consumption, latency, and physical footprint, and establishing fair, skeptical baselines. This ensures scientific rigor and reproducibility in research submissions.

A comprehensive guideline for establishing and documenting the reproducibility of complex sensor-systems artifacts. It covers necessary components such as firmware sources, detailed hardware Bills of Materials (BOMs) and board files, raw sensor traces, ground truth data, and calibrated measurements. Use this guide to ensure that scientific claims can be verified by a competent reader, detailing the exact dependencies on physical equipment and software toolchains.