Research skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

jpart-research-design

Use when defending the research design of a Journal of Public Administration Research and Theory (JPART) manuscript — survey/lab/field experiments on public employees and citizens, causal observational designs, multilevel structures, or mixed methods. JPART has moved strongly toward experimental and causal identification. Strengthens the design; it does not write code.

805 repo starsObserved in 1 repos
Research

jpart-review-process

Use to understand how the Journal of Public Administration Research and Theory (JPART) evaluates a manuscript — double-blind review, desk screening on theory and fit, the reject / R&R / accept decision categories, and the PMRA/OUP editorial context. Sets expectations and shapes the paper to survive review; it does not contact editors.

805 repo starsObserved in 1 repos
Research

jpube-literature-positioning

Use when positioning a Journal of Public Economics (JPubE) manuscript against the public-finance literature — locating the contribution relative to the tax, social-insurance, public-expenditure, and optimal-policy frontier without writing a standalone survey. Positions the paper; it does not frame the core contribution (use jpube-contribution-framing).

805 repo starsObserved in 1 repos
Research

jru-robustness

Use when a Journal of Risk and Uncertainty (JRU) result may be sensitive to specification, incentive frame, sample, or inference. Organizes robustness by the threat to the risk/uncertainty parameter; it does not invent evidence or citations.

805 repo starsObserved in 1 repos
Research

jwe-topic-international

Use to sharpen a 《世界经济》 (The Journal of World Economy) topic into a causal question seen through an international / open-economy lens — turning a vague "global" angle into a well-posed open-economy treatment-effect or general-equilibrium question. Use after fit is confirmed, before the literature review.

805 repo starsObserved in 1 repos
Research

misq-data-analysis

Use when running and reporting the empirical core of a MIS Quarterly manuscript — measurement and structural models (PLS/CB-SEM) for behavioral IS, causal identification and robustness for economics-of-IS, artifact evaluation for design science, or trustworthiness for qualitative IS — and assembling the genre-appropriate transparency materials. Executes/reports the analysis; it does not design the study (misq-methods) or frame the contribution (misq-contribution-framing).

805 repo starsObserved in 1 repos
Research

mobicom-related-work

Use when building or auditing the related-work of a MobiCom paper — sweeping the SIGMOBILE and networking literature lanes, proving each citation's venue on dblp/ACM DL against the INFOCOM/SIGCOMM/NSDI misattribution traps, positioning against the current rolling-cohort cohort, and self-citing without breaking double-blind.

805 repo starsObserved in 1 repos
Research

nbr-china-context

Use to contextualize theory for 《南开管理评论》 (Nankai Business Review) — showing how the China context changes construct meanings, mechanisms, or boundary conditions, rather than using China merely as a sampling site. Use when the China context appears only in the sample description, or when the paper asserts "Chinese characteristics" without specifying how the context alters the theory.

805 repo starsObserved in 1 repos
Research

nbr-qualitative-case

Use for qualitative theory-building submitted to 《南开管理评论》 (Nankai Business Review) — multi-case comparison (replication logic, case selection), grounded-theory coding (open / axial / selective), theoretical saturation, and trustworthiness (data triangulation, member checking, audit trail). Use when the contribution is built inductively from cases or interviews rather than from survey/experiment data.

805 repo starsObserved in 1 repos
Research

newms-data-analysis

Use when conducting and reporting the analysis of a New Media & Society (NM&S) manuscript across qualitative, content/discourse, computational, and mixed methods — making inference transparent and defensible on each tradition's own terms. Strengthens analysis and reporting; it does not collect data.

805 repo starsObserved in 1 repos
Research