Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when defending the research design of a Public Administration Review (PAR) manuscript — public-management causal designs (DiD around reforms, survey & field experiments on bureaucrats/citizens, RD, IV), case comparison and process tracing, and mixed methods. PAR judges each tradition on its own terms. Strengthens the design; it does not write code.
Use when you need to understand how Public Administration Review (PAR) evaluates a manuscript — double-blind review, desk screening for fit/scope/practice-relevance, the reject / major / minor / accept decision spectrum, the role of Evidence for Practice, and the article types. Sets expectations and shapes the paper to survive review; it does not contact editors.
Use when executing or auditing the quantitative core of a Quantitative Economics (QE) manuscript — estimation (structural/GMM/MSM or causal), moment construction, data cleaning, computation, and inference — so results are credible and reproducible for the ES Data Editor. Runs and checks the analysis; for the identification argument route to qe-identification-strategy.
Use to understand and plan around the Quantitative Economics (QE) editorial timeline — desk-reject risk, external refereeing, ~4-5 month target turnaround, 12-month revise windows, the Econometrica-transfer route, and the pre-acceptance ES Data Editor check. Sets expectations; it does not draft the paper.
Use when first judging whether a project fits Quantitative Economics (QE) — a substantive economic question answered with serious quantitative methods (empirical, structural/computational, experimental, or simulation), sister to Econometrica and Theoretical Economics. Tests fit and sharpens the question; it does not design the estimation.
Use when the causal identification strategy is the bottleneck for a Quarterly Journal of Economics (QJE) manuscript — RCT, staggered DID, IV, RDD, event study. Stress-tests the design to the QJE general-interest bar before tables are drafted.
Use when staking a Quarterly Journal of Economics (QJE) manuscript's contribution against the frontier — what it builds on, what it overturns, and why it belongs in a general-interest journal. Positions the contribution; it does not write the full literature survey.
Use when designing or auditing ACM RecSys experiments centered on offline-versus-online evaluation — temporal splits, equal-budget baseline tuning, full-ranking versus sampled metrics, off-policy estimators (IPS, SNIPS, doubly robust), A/B tests, exposure and popularity bias, seeds and variance, and matching each recommendation claim to its evidence.
Use when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique line, arXiv and prior versions, concurrent work, ACM Digital Library archival status, and the citation coverage RecSys reviewers expect across recommendation subfields.
Use when explaining or planning around ACM RecSys peer review — the mutually-anonymous model with at least three PC members and a Senior PC overseer, the rebuttal phase, how the reproducibility-crisis culture shapes reviewer priorities, the offline-versus-online evaluation lens, and how acceptance leads to ACM Digital Library publication.