Skill UI

This framework provides a systematic methodology for imposing a strong analytical structure or taxonomy on academic literature, particularly for Annual Reviews (ARE). It guides the writer to move beyond merely compiling annotated bibliographies and instead building a cohesive argument about an entire field. Users select a primary 'spine' (e.g., taxonomy, unifying model, question sequence) to organize research, ensuring the review is both comprehensive and highly accessible to non-specialists.

This framework guides the creation of high-impact academic literature reviews, transforming a mere annotated bibliography into a cohesive, argumentative essay. It helps researchers impose a unifying 'spine'—such as a taxonomy, process model, or levels of analysis—to make complex psychological fields legible and accessible to non-specialist readers. Ideal for synthesizing scattered research into a single, powerful argument.

This framework guides researchers on how to elevate an academic literature review from a mere annotated bibliography into a cohesive, argumentative piece. It teaches authors to impose a central 'spine'—such as a taxonomy, causal mechanism, or set of analytical levels—to structure the subfield's existing work, thereby generating new insights and defining the field's future agenda. Essential for advanced academic writing and synthesizing large bodies of research.

This comprehensive guide provides best practices for structuring both 'Related Work' sections and full 'Literature Review' papers for top-tier Computer Science journals. It emphasizes identifying the innovation gap (delta), organizing work by problem dimension, creating clear taxonomies, and adhering to academic citation standards (GB/T 7714).

This guide teaches researchers how to accurately assign JEL (Journal of Economic Literature) classification codes to academic surveys. It details the three-level taxonomy structure, guiding users to select the primary field code, relevant method codes, and adjacent subject codes to ensure proper indexing and scope mapping within the American Economic Association's subject map.

This framework guides the creation of a structured, argumentative literature review, preventing the writing from becoming a mere annotated bibliography. By imposing a unifying taxonomy, model, or question sequence, the author transforms scattered research into a cohesive argument about the field. It helps define the 'spine' of the survey, identifies knowledge gaps, and reconciles apparent contradictions in existing literature.

A detailed guide on how to write a rigorous and comparative 'Related Work' section for top-tier microarchitecture conferences (e.g., MICRO). It teaches authors to structure the section as a 'mechanism taxonomy,' differentiating designs based on structural and cost differences rather than merely listing citations. Key areas covered include sweeping academic venues, integrating industry disclosures, and verifying all venue attributions using tools like dblp.

A structured framework designed for authors writing comprehensive psychological reviews or theoretical statements. It guides users to transform a collection of research papers into a single, cohesive, and provocative argument by imposing a unifying structure—such as a taxonomy, theoretical model, or question sequence—that defines the field's central claim.

This tool guides the transformation of a coded, screened corpus into a robust analytical spine for academic synthesis. It moves beyond simple annotated bibliography summaries by requiring the construction of a conceptual framework (e.g., taxonomy, theoretical model, tensions). This structure ensures the review advances theory or policy, providing a coherent, critical argument for the field.