Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when explaining or strategizing around EMNLP's two-stage pipeline — ACL Rolling Review scoring with soundness, excitement, and overall recommendation, area-chair meta-reviews, the commitment step, and conference-side decisions by Senior Area Chairs into Main, Findings, or rejection — including resubmission dynamics and ethics flags.
Use when deciding whether a project belongs at EMNLP, weighing its empirical-NLP identity against ACL, NAACL, EACL, AACL, CoNLL, LREC-COLING, TACL, and ML venues, matching the contribution to EMNLP's welcomed paper types including negative results and reproductions, and choosing between main conference, Findings, industry, and demo pipelines.
Use when targeting Energy & Environmental Science (EES, RSC) or deciding whether an energy/environment manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Use when targeting Entrepreneurship Theory and Practice (ETP) or deciding whether a theory-driven entrepreneurship manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Use when targeting Environment International or deciding whether an environmental-exposure/health manuscript fits this venue. Encodes the journal's fit, the population-relevant exposure-health evidence bar, exposome/contaminant expectations, house style, official-submission re-check, and desk-reject heuristics.
Use when targeting Environmental Pollution or deciding whether a contamination/pollutant-impact manuscript fits this venue. Encodes the journal's fit, the source-fate-impact evidence bar, measurement-and-controls expectations, house style, official-submission re-check, and desk-reject heuristics.
Use when reducing and reporting data for an Earth and Planetary Science Letters (EPSL) manuscript — full analytical-uncertainty budgets for isotope and geochronology data, defensible statistics (MSWD, weighted means, Bayesian age models), and inversion/model diagnostics. It guides reduction and reporting norms; it does not fabricate results.
Use when designing the sampling, analytical, experimental, or modeling program for an Earth and Planetary Science Letters (EPSL) manuscript so the design can carry a process-level claim — sample context, reference materials, replication, blank control, and model resolution planned before data exist. It guides design decisions; it does not execute the campaign.
Use when the empirical identification strategy is the bottleneck for an Economic-Research manuscript — quasi-experimental designs (DID, IV, RDD, DML, event study). Stress-tests the design against modern (2019-2024) estimators and reporting standards before drafting tables.
Use when building or writing the robustness-check section of an Economic-Research manuscript — organizes checks by the identification threat each one answers, not as an undifferentiated pile.