Skill UI

Run comprehensive, read-only exposure checks against your local machine or project directories in response to security advisories and CVEs. This tool systematically checks various ecosystems (Node.js, Python, Homebrew, etc.) to generate a structured, non-invasive audit report, helping users understand their actual risk exposure without making any system changes.

This tool provides the framework for setting up and running mmWave/FMCW radar (60 GHz, 24 GHz) alongside WiFi CSI. It performs advanced sensor fusion, reconciling radar-derived vitals (heart rate, breathing rate) with CSI data to generate unified 48-byte fused vital records. It is suitable for developing high-precision health monitoring systems and volumetric spatial models.

This skill guides researchers to determine if their topic fits the scope of Acta Automatica Sinica (AAS). It provides detailed boundaries for control theory, pattern recognition, robotics, and smart systems, helping authors distinguish their contribution from pure algorithms or system software, and advising on appropriate article type (Review/Paper/Short) to avoid initial rejection.

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 authors targeting ACM MobiCom. It assists in conference fit assessment, manuscript re-framing, and strengthening the evidence base for mobile networking and wireless systems papers. Learn how to position your work against specific venue requirements, distinguish contributions (e.g., networking vs. platform), and structure your paper for optimal review impact.

This guide provides a comprehensive framework for positioning mobile and embedded systems manuscripts for ACM MobiSys. It details venue fit, contribution framing, necessary real-device evidence, and how to differentiate the work from related conferences (e.g., MobiCom, UbiComp). Use this when your research value depends on surviving real-world device constraints, sensing, or edge computing environments.

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.

This guide helps researchers determine the suitability of their energy-related manuscripts for the Applied Energy journal. It shifts the focus from single-device performance or component novelty to generalizable, systems-level insights. Key areas include energy-systems modeling, decarbonization pathways, techno-economic analysis (TEA), life cycle assessment (LCA), and assessing integrated energy transitions across sectors.

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.

A comprehensive guide detailing the structural and rhetorical requirements for submitting networking systems papers to CoNEXT. It emphasizes leading with the problem context, tying every claim to real-world measurements, acknowledging limitations proactively, and adhering to strict academic formatting standards (acmart).

This guide provides comprehensive standards for designing, auditing, and reporting empirical evaluations in database systems research. It emphasizes the principle that evidence must proportionally match the claim, requiring the use of real-world workloads, fair and tuned baselines, thorough measurement of variance and state (warm/cold), and fully reproducible evaluation harnesses. It also outlines the higher bar for 'Experiments & Analysis' papers.

A comprehensive framework for ensuring rigorous scientific reproducibility in systems papers. It details how to establish a full provenance ledger (tracking hardware, software commits, and workloads), manage performance variance through repeated runs and statistical reporting, and implement automated pipelines so that all reported figures can be regenerated from raw data.