Skill UI

This guide helps researchers navigate the complex double-anonymous peer review process for sociological theory. It teaches users how to interpret confusing decision letters, identify conceptual gaps, and triage reviewer feedback based on the journal's focus on theoretical contribution, conceptual novelty, and logical soundness. It is essential for deciding if a manuscript revision (R&R) is viable.

A comprehensive guide for researchers handling academic revisions after receiving a journal decision letter (R&R). It teaches how to triage critical feedback from multiple referees, prioritize the editor's synthesis, structure detailed point-by-point responses using quantitative evidence, and sequence the revision work to maximize the chances of publication.

This comprehensive guide details the strategic process of writing a high-impact rebuttal for major academic conferences. It teaches users how to triage mixed reviewer feedback, differentiate between in-track, adjacent-track, and web-fit objections, and structure responses using concrete evidence, specific citations, and confident concessions to maximize the paper's acceptance chances.

A comprehensive guide for authors responding to major or minor revisions following peer review at top-tier journals (e.g., World Development). It teaches how to structure the rebuttal letter, synthesize conflicting referee demands (methodology vs. context), and strategically triage feedback—conceding, strengthening, or defending—to maximize the chance of publication.

A comprehensive guide for allocating content across academic conference submissions, ensuring critical evidence is visible within strict page limits. It defines rules for triaging material into decisive (body), supporting (appendix/repo), and archival (repository) categories, along with advanced compression tactics for tables and proofs.

This guide provides a structured framework for presenting complex empirical results in academic manuscripts, particularly for international marketing journals. It details the essential 'spine exhibits' (conceptual models, invariance tables, cross-national patterns) and teaches techniques like the 'claim test' and 'triage' to ensure arguments are clear, rigorous, and adhere to strict page limits.

A comprehensive guide for authorized digital forensics investigation. It covers critical areas including memory dump analysis (using Volatility), disk timeline reconstruction, PCAP network traffic analysis, and system artifact triage (like Event Logs and Prefetch). Essential for incident response, evidence preservation, and threat hunting to maintain a robust chain of custody.

This guide outlines the methodology for conducting hardware security research on embedded systems. It covers physical interface analysis (UART, JTAG, SWD), debug pad triage, secure boot evaluation, and offline firmware extraction. It emphasizes systematic, non-destructive testing protocols and responsible handling of physical devices.

A comprehensive guide covering the entire lifecycle of malware analysis, from initial triage and deep static reverse engineering to automated sandboxing and behavioral monitoring. It details a multi-stage workflow that includes extracting Indicators of Compromise (IOCs), generating detection rules using YARA and Sigma, and identifying anti-analysis techniques. Ideal for threat intelligence researchers and incident responders.

This skill provides a comprehensive, 4-phase workflow for managing and reviewing a pull request backlog. It automatically audits open PRs, classifying them by size, staleness, overlap, and CI status. Users can then initiate deep code reviews, generate comment drafts, and set up local worktrees for systematic maintenance and quality assurance.

This skill processes public Shopify App Store reviews (especially low-star ones) to generate a structured, actionable brief. It categorizes feedback into incident risk, repeated friction, pricing confusion, and feature requests, providing a prioritized P0-P3 assessment for product and support teams. It ensures every piece of feedback maintains its public source link and labeling for human review.