Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when running and reporting the analyses for a Comparative Political Studies (CPS) manuscript — estimation, uncertainty, robustness, and multi-method triangulation on comparative data. Sets analysis norms; it does not choose the identification strategy (see cps-research-design).
Use when defending the research design of a Comparative Political Studies (CPS) manuscript — cross-national/panel identification, case-based comparison and process tracing, experiments, or multi-method designs. CPS prizes comparative leverage. Strengthens the design; it does not write code.
Use when designing or writing heterogeneity analysis for a 《中国农村经济》 manuscript. Enforces rural-relevant cut dimensions and theoretical-justification discipline.
Use when designing or writing mechanism analyses for a 《中国农村经济》 empirical manuscript. Mechanism tests grounded in household-level behavior are near-mandatory for empirical submissions. 本技能服务于《中国农村经济》(China Rural Economy, CRE)。
Use when executing and reporting the analysis for a Criminology (ASC / Wiley) manuscript so it survives expert review — honest uncertainty, robustness, and methods appropriate to crime counts, longitudinal panels, trajectory models, and recidivism survival. Guides analysis norms; it does not fabricate results.
Use when defending the research design of a Criminology (ASC / Wiley) manuscript — causal identification for quantitative work, longitudinal and life-course designs, criminal-career and trajectory methods, place-based and experimental designs, or case selection and process tracing for qualitative work. Criminology judges each tradition on its own terms. Strengthens the design; it does not write code.
Use to understand how Criminology (ASC / Wiley) evaluates a manuscript — blinded/anonymized peer review, editorial screening, the typical reject / major-revision / minor-revision / accept outcomes, and what expert reviewers weigh in this interdisciplinary, theory-forward field. Sets expectations and shapes the paper to survive review; it does not contact editors.
Use when deciding which computer-science or AI conference skill to invoke next, comparing fit across the 155-conference CS roadmap, or routing an AI/ML/CS manuscript before venue-specific re-framing.
Use when designing or auditing the empirical work behind a CSCW paper — interview and ethnographic rigor, trace and log analysis, surveys, deployments, and mixed methods — matching each method's own validity standard and the ethics of studying real communities.
Use when positioning a CSCW paper's related work — engaging the venue's own concept lineage, the PACMHCI-era literature, neighboring HCI venues, and the social sciences CSCW borrows from, with era-correct citations and anonymity-safe self-references for journal-model review.