Skill UI

A comprehensive guide detailing the entire workflow for analyzing embedded firmware. It covers hardware-level extraction methods (UART, JTAG, SPI dump), filesystem analysis (SquashFS, JFFS2), binary reverse engineering using tools like Ghidra, and identifying common vulnerabilities (Buffer Overflow, Command Injection). Ideal for security researchers and embedded systems engineers.

This skill provides comprehensive methodologies for capturing, analyzing, and documenting network protocols. It is crucial for security researchers, developers ensuring interoperability, and engineers debugging complex network communications by understanding the underlying data exchange mechanisms.

This skill analyzes accumulated usage logs from a complex research harness (ARIS) to propose structural optimizations. It identifies areas for improvement in SKILL scripts, default parameters, workflow ordering, and reviewer prompts. It is designed to automate the meta-level engineering process, ensuring that system efficiency is continuously improved based on real-world usage data.

This comprehensive runbook provides detailed procedures for diagnosing and resolving critical incidents within the Glean enterprise search platform. It covers all severity levels (P1-P4) and failure modes, including API outages, connector synchronization failures, indexing backlogs, and permission drift. It includes diagnostic steps, advanced troubleshooting playbooks, and communication templates for technical support and engineering teams.

This comprehensive guide assists researchers and practitioners in selecting the optimal venue and track (e.g., DAC, ICCAD, ISCA) for their electronic design automation (EDA) or chip-design project. It clarifies the critical distinction between the archival Research Manuscript track and the industry-facing Engineering Track at DAC, emphasizing the need to frame contributions using measurable Quality of Results (QoR) improvements, novel algorithms, or real-world industrial lessons.

A comprehensive project management guide for submitting data-intensive systems papers to ICDE. It details the two-round submission cycle, setting milestones from initial evidence locking (mechanisms, workloads) to final IEEE Xplore publication. This workflow helps researchers backward-plan the entire data-engineering lifecycle, budgeting time for revisions and mitigating common submission risks.

A comprehensive guide for data engineers and researchers determining the best venue (ICDE, SIGMOD, VLDB, etc.) for their data-intensive systems paper. It outlines the foundational "data-management-primitive test" and provides strategic advice on navigating the overlaps and differences between major database conferences based on research focus and submission timeline.

A detailed guide for structuring the 'Related Work' section of high-level academic manuscripts in communications engineering. It teaches authors to move beyond simple literature listing by focusing on the 'delta'—defining the gaps in existing research and clearly positioning the paper's unique contribution to ensure novelty and academic rigor for top-tier journals.

A comprehensive guide for authors submitting biomedical engineering research. It assesses the manuscript's fit, biomedical significance, and translational relevance against Nature's rigorous standards. Covers scope, validation requirements (benchtop vs. clinical), structural guidelines, and official submission checklists for devices, biomaterials, and engineered systems.

This comprehensive guide is designed for authors submitting manuscripts in water science or engineering. It details the high standards, scope, and expected rigor for the flagship journal, Water Research. It covers the necessary depth of mechanistic or methodological advances, strict experimental design requirements (including mass balances and controls), and the IMRaD structure required for publication.

This guide provides a comprehensive methodology for the reverse engineering of browser extensions (Chrome/Firefox). It covers analyzing the manifest, tracing background workers, content scripts, and recovering sensitive logic like credentials or network traffic. Essential for security research, malware investigation, and supply chain security auditing.

This skill guides researchers in selecting and refining topics for the Journal of Systems Engineering (Tianjin University). It helps define system boundaries, identify feedback loops, and ensure testable questions. It prevents vague topics by requiring specific system structures and verifiable outcomes. Suitable for academic research in systems engineering, operations research, and complex systems.