sigmetrics-skills

Plugin sigmetrics-skills from marketplace awesome-journal-skills in brycewang-stanford/Awesome-Journal-Skills. Commands read from the repo's manifest — 1 month ago.

Skills (12)

• sigmetrics-artifact-evaluation

  Use when packaging an ACM SIGMETRICS artifact for the ACM Artifact Review and Badging scheme (Artifacts Available, Evaluated Functional and Reusable, Results Reproduced), covering what performance-evaluation evaluators check first (does the simulation regenerate the figures and match the analysis?),

• sigmetrics-author-response

  Use when responding to ACM SIGMETRICS reviews, covering any initial rebuttal and — distinctively — the one-shot revision response letter that must map every item on the reviewers' required-changes list to a concrete change in the revised POMACS paper, resubmitted to a subsequent rolling deadline and

• sigmetrics-camera-ready

  Use when preparing an accepted ACM SIGMETRICS paper for its POMACS camera-ready, covering de-anonymization, the acmsmall template and POMACS journal metadata (DOI, ORCID, CCS concepts), incorporating the shepherd's required changes without scope creep, permanentizing artifact links, and the ACM arti

• sigmetrics-experiments

  Use when designing or auditing ACM SIGMETRICS evaluations, covering theorem-plus-validation rigor, stating and testing modeling assumptions, analysis-vs-simulation agreement, real workloads and traces, fairly tuned baselines, statistics and confidence intervals for stochastic systems, learning guara

• sigmetrics-related-work

  Use when positioning an ACM SIGMETRICS submission against the performance-evaluation literature across SIGMETRICS/POMACS, Performance Evaluation, QUESTA, TON, and the systems/learning/measurement neighbors (NSDI/OSDI, IMC, NeurIPS/ICML), writing delta-first contrast rather than a citation catalog, k

• sigmetrics-reproducibility

  Use when strengthening ACM SIGMETRICS reproducibility, covering proofs and their assumptions as reproducible artifacts, seeded simulators whose figures regenerate and match the analysis, measurement/trace provenance, claim-to-evidence mapping, honest degrees of reproducibility, and consistency betwe

• sigmetrics-review-process

  Use when reasoning about how an ACM SIGMETRICS submission is evaluated, covering the hybrid conference-journal model, double-anonymous review, the three first-round outcomes (Accept-with-shepherding / One-Shot Revision / Reject), the one-shot revision resubmitted to a subsequent rolling deadline, th

• sigmetrics-submission

  Use when auditing an ACM SIGMETRICS submission for HotCRP readiness, covering the choice among the three rolling deadlines (summer/fall/winter), the separate abstract-registration step, the 20-page single-column acmsmall budget plus unlimited references, double-anonymous review (and the Operational

• sigmetrics-supplementary

  Use when deciding what belongs in an ACM SIGMETRICS paper body versus its appendices and anonymized artifact, covering the 20-page single-column acmsmall budget, the rule that decision-critical claims (theorem statements, assumptions, headline validation) stay inside the reviewed pages, full proofs

• sigmetrics-topic-selection

  Use when deciding whether a computer-systems performance project belongs at ACM SIGMETRICS or should be routed to IMC, SIGCOMM/NSDI/OSDI, INFOCOM, a learning venue (NeurIPS/ICML), or a performance journal (Performance Evaluation/TON/QUESTA), and when picking the right SIGMETRICS track (Theory / Meas

• sigmetrics-workflow

  Use when planning an ACM SIGMETRICS project timeline across the three rolling deadlines (summer/fall/winter), from venue fit through abstract registration, submission, shepherding, the one-shot revision round, POMACS publication, and presentation, with backward-planning offsets for a performance-eva

• sigmetrics-writing-style

  Use when revising an ACM SIGMETRICS paper for a rigorously stated performance contribution on the first page, explicit modeling assumptions and their validity, theorems paired with numerical/empirical validation, evidence proportional to the claim, double-anonymous wording, and disciplined use of th

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