Skill UI

This guide helps authors elevate their literature review or related work section from a simple list of papers to a structured, high-impact academic argument. It provides methodologies for building multi-dimensional classification frameworks, defining the technical 'delta' (unique contribution) in original research, and ensuring systematic coverage of both domestic and international literature for top-tier academic journals.

This guide provides a comprehensive framework for advanced theory development, crucial for high-impact academic writing, particularly in management sciences. It trains authors to move beyond simple data correlation by structuring hypotheses through explicit theoretical mechanisms: Antecedent $\rightarrow$ Mechanism $\rightarrow$ Outcome. It advises on building a robust theoretical contribution, defining boundary conditions, and organizing meta-analyses or systematic reviews.

This guide helps authors structure the Related Work section for top-tier academic journals like the Journal of Software. It focuses on demonstrating incremental contribution (delta-first positioning), structuring the review across multiple software disciplines (e.g., SE, Systems, Databases), ensuring balanced citations (international vs. domestic), and building comprehensive classification frameworks for review papers.

A comprehensive guide for designing and documenting systematic literature searches for meta-analyses or systematic reviews. It ensures reproducibility by covering multiple databases (e.g., PsycINFO, PubMed), controlled vocabulary, grey literature, and adhering strictly to PRISMA-S guidelines. It helps build a robust, traceable research pool.

This guide assists in building a robust theoretical framework for research policy manuscripts. It moves beyond simple empirical measurement by structuring the argument using the innovation-mechanism chain (antecedent → mechanism → outcome). It teaches how to connect firm-level findings up to the systemic policy or institutional level, ensuring the contribution is theoretically advanced and legible across disciplines (e.g., economic, managerial, STS).

This router guides the entire lifecycle of scholarly reviews, including systematic reviews, meta-analyses, and critical integrative syntheses. It maps out the necessary steps—from question scoping and protocol registration (PRISMA) through systematic searching, framework building, data coding, and final submission/revision—ensuring methodological rigor for high-impact academic journals.

A comprehensive methodology guide for qualitative researchers in sociology. It teaches how to move beyond mere description by systematically extracting, defining, and bounding core concepts from empirical field materials. This process involves iterative dialogue between observations and existing sociological theory, ensuring the concept is theoretically robust and transferable.

This guide provides a rigorous methodology for achieving scientific reproducibility in technical and user experience papers (e.g., UIST). It details three essential 'ledgers': the Build Ledger (pinning software, hardware, and environment dependencies), the Measurement Ledger (defining precise protocols for metrics like latency and accuracy), and the Study Ledger (documenting human evaluation tasks). Following these protocols ensures that external researchers can accurately rebuild the artifact and validate reported results.

This skill provides a comprehensive guide for authors targeting the USENIX Symposium on Operating Systems Design and Implementation (OSDI). It helps in positioning complex systems research, covering core scope areas like operating systems, distributed systems, and cloud infrastructure. It details how to frame the contribution, build evidence (artifacts, baselines), and distinguish the work from similar top-tier venues like SOSP and NSDI.

This skill guides the construction of complex legal arguments, adhering to the standard persuasive arc: doctrine → theory → normative. It ensures the writing systematically moves from mapping existing law (the problem) to developing a conceptual framework (the why) and finally proposing actionable reforms (the fix). It is essential for building a rigorous, logical, and comprehensive academic argument.

Provides a comprehensive, step-by-step workflow for conducting rigorous literature reviews across academic, biomedical, and technical domains. It guides users through defining research questions (PICO), developing systematic search protocols, evidence logging, source screening, structured data extraction, and synthesizing findings to build high-quality, reproducible review reports.

This specialized skill is designed for Digital Forensics and Incident Response (DFIR) scenarios. It correlates evidence from multiple disparate sources—including EVTX, PCAP, registry, memory, and filesystem artifacts—to build a comprehensive, ordered, and replayable forensic timeline. Use it when the goal is to map the full sequence of attacker actions, establishing initial access, lateral movement, and persistence chains based on cross-source evidence correlation.