Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when documenting the coverage account of an Annual Review of Sociology (ARSoc) review and the transparency obligations of any systematic-review search or meta-analysis the review itself contains. Builds the search/selection record and the reproducibility plan; it does not gather the literature (arsoc-literature-synthesis) or appraise individual studies' designs (arsoc-comprehensiveness-and-balance).
Use to understand how The Art Bulletin evaluates a submission — double-blind peer review, what referees and the editor look for in art-historical work, and the likely decision outcomes. Helps anticipate review; it does not contact editors or simulate a specific referee.
Use when situating an Art Bulletin article in the historiography and scholarly literature of art history. The Art Bulletin expects engagement with prior interpretation, methods, and debates across the field, not just the literature on one object. Positions the contribution; it does not do the looking or the archival work.
Use when reasoning about how an ASE (IEEE/ACM Automated Software Engineering) research submission is evaluated, covering double-anonymous review, the early-rejection stage before rebuttal, the Accept / Revision / Reject outcomes, the criteria-bound revision round, and how ASE's process differs from FSE's PACMSE Major Revision, ICSE's cycles, and ISSTA's rounds.
Use when deciding whether a software-engineering project belongs at ASE (IEEE/ACM Automated Software Engineering) or should be routed to ICSE, ESEC/FSE, ISSTA, a PL venue, or an SE journal, and when distinguishing ASE by its automation-centric contribution shape, its tool/technique emphasis, and its AI4SE/SE4AI scope.
Use when targeting Asian Conference on Computer Vision (ACCV) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for computer vision regional flagship.
Use when targeting Asian Conference on Machine Learning (ACML) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for AI/ML regional flagship.
Use when reasoning about how an ASPLOS submission will be judged — the two-page rapid-review screen and what it filters, full double-blind review, the author-response window, the Accept / Major Revision / Reject outcome set, how revisions are re-reviewed as submissions, and where authors actually hold leverage in each stage.
Use when deciding whether a project belongs at ASPLOS or at a single-community venue — applying the cross-layer deletion test, matching against ASPLOS's architecture/PL/OS intersection identity, routing to ISCA/MICRO/HPCA, PLDI/POPL, SOSP/OSDI/EuroSys, SC, or MLSys instead, and choosing between the April and September deadlines.
Use when executing and reporting the analysis for an Administrative Science Quarterly (ASQ) manuscript — qualitative coding and data-to-theory construction, or quantitative estimation and robustness. Makes the evidence-to-theory link transparent; it does not design the study (see asq-methods).