Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when targeting The Lancet Respiratory Medicine or deciding whether a respiratory or critical-care study fits this venue. Encodes the journal's fit, the practice-changing trial and major-cohort evidence bar, reporting-guideline and registration requirements, Lancet specialty house style, official-submission re-check, and desk-reject heuristics. Venue-fit aid only, not clinical advice.
Use when targeting Transportation Research Part B (Methodological) or deciding whether a transportation manuscript fits this venue. Encodes the journal's methodological-flagship fit, the theoretical-contribution bar, the Part B vs. Part A/C/E routing, modeling-and-proof rigor, house style, official-submission re-check, and desk-reject heuristics.
Use when targeting Trends in Cognitive Sciences (TiCS) or deciding whether a cognitive science synthesis, opinion, or review fits this venue. Encodes the journal's invited-review culture, fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Use when targeting Trends in Ecology & Evolution (TREE) or deciding whether a forward-looking ecology/evolution synthesis fits this invited review-and-opinion venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics.
Use when designing or auditing UAI experiments where inference quality is the endpoint, covering calibration and coverage measurement, posterior diagnostics, structure-recovery metrics for causal and graphical models, seeded repeated runs, baselines from both sampling and optimization families, and mapping each claim to its evidence.
Use when positioning a UAI submission within the probabilistic reasoning, graphical-model, causality, and Bayesian ML literature, covering PMLR archival status of recent UAI volumes, double-blind self-citation discipline, concurrent arXiv and workshop versions, and the cross-community citation coverage UAI reviewers check first.
Use when hardening reproducibility evidence for a UAI paper, including seeds, sampler convergence diagnostics, ELBO and calibration traces, dataset and hyperparameter disclosure, compute reporting, and honest code-availability statements, since UAI strongly encourages released code and data and reviews whether claims are convincingly backed.
Use when reasoning about UAI peer review on OpenReview, including bidding, double-blind evaluation against the correctness, novelty, backing, and clarity criteria, the author-response window, the reviewer-and-area-chair discussion that follows it, decision timing, spotlight versus poster outcomes, and PMLR publication of accepted papers.
Use when deciding whether a project belongs at UAI, where uncertainty representation, probabilistic reasoning, graphical models, causal inference, or decision making under uncertainty must be the contribution itself, and when to route instead to AISTATS, NeurIPS, ICML, COLT, CLeaR, or a statistics journal before drafting begins.
Use when interpreting the UIST review pipeline — anonymous PC-plus-external review of papers and videos, the rebuttal's role, PC-meeting decisions, conditional acceptance mechanics, reading systems-reviewer psychology, and choosing the demo/poster fallback or resubmission path after a rejection.