What problem does it solve? Academic researchers struggle to turn hundreds of scattered sources into a coherent, defensible literature review. This Skill provides structured workflows for reproducible database searches, source screening, quality appraisal, thematic synthesis, and gap articulation. ## Core Features & Use Cases - Systematic Search Strategy: Build reproducible search protocols using the PICO(S) framework, Boolean search strings, and multi-database coverage (Google Scholar, Scopus, Web of Science, PsycINFO). - Critical Appraisal & Synthesis: Apply quality checklists for quantitative, qualitative, and SEM studies, then integrate findings through thematic coding and comparative matrices. - Gap Identification & Writing: Classify empirical, theoretical, methodological, and contextual gaps, then structure the review using funnel, thematic, or chronological organization with synthesis-focused phrasing. - Use Case: A doctoral student researching AI adoption uses the Skill to construct a search protocol across Scopus and ACM Digital Library, screen 200 hits down to 30 core sources, and write a synthesized literature review chapter that clearly articulates the research gap. ## Quick Start Ask the AI to load the literature-review skill and help design a systematic search strategy for your research question.
