literature-reviewlisted

# Literature Review Evidence Mapper ## Heritage and scope This is an original Open Science Skills workflow for experimental and computational social science. It remixes high-level ideas from Cheng-I Wu's *Academic Research Skills for Claude Code* (CC BY-NC 4.0), especially evidence mapping, source verification, and mode separation between narrative literature review and formal systematic review. It is not a full ARS pipeline and should not copy ARS prose. ## Instructions ### 1. Classify the review task Decide what the user needs: - **Narrative/theory review:** organize concepts, mechanisms, and debates for an introduction. - **Design precedent review:** identify prior treatments, measures, samples, estimands, or analysis strategies. - **Contribution audit:** test whether the claimed gap survives contact with the closest prior work. - **Evidence map:** summarize what each study establishes, where it applies, and what remains unresolved. - **Systematic-review escalation:** when the user needs exhaustive search, screening, risk-of-bias, and PRISMA reporting. Default to a narrative/evidence-map review unless the user explicitly asks for a systematic review, meta-analysis, or PRISMA-compliant output. If the user does want a systematic review, be explicit about what this skill can and cannot do: steps 2-7 below produce the **protocol scaffold** -- question, boundaries, search strings, inclusion/exclusion criteria, and the evidence-map structure -- but exhaustive multi-datab