claude

fast-skills

Twelve FAST-specific skills for the USENIX Conference on File and Storage Technologies, covering its storage discipline, two-deadline USENIX double-blind cycle, one-shot revision, and artifact badging, grounded in the FAST '26/'27 calls, the USENIX artifact policy, ACM Digital Library, and dblp.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
/

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

What it installs

Skills (12)

  • fast-artifact-evaluation

    Use when packaging a USENIX FAST artifact for the USENIX Artifact Evaluation scheme (Artifacts Available, Artifacts Functional, Results Reproduced), covering what a storage AEC checks first, DOI-issuing archives, the artifact appendix, and the special challenges of storage artifacts that need specif

  • fast-author-response

    Use when drafting USENIX FAST author responses, covering the short pre-notification rebuttal during the author-response period and — distinctively — the one-shot-revision change ledger that maps every required change (including any newly required storage experiments) to a concrete result, resubmitte

  • fast-camera-ready

    Use when preparing an accepted USENIX FAST paper for its open-access camera-ready, covering de-anonymization, the USENIX two-column template and the larger camera-ready page allowance, integrating shepherd- or revision-required changes without scope creep, permanentizing trace and code availability,

  • fast-experiments

    Use when designing or auditing a USENIX FAST storage evaluation, covering real devices and firmware, device-state control (aging, preconditioning, fill, TRIM), standard workloads and traces (SNIA IOTTA, YCSB, filebench, fio), write amplification, tail latency, endurance and wear, crash-consistency t

  • fast-related-work

    Use when positioning a USENIX FAST submission against the storage-systems literature across FAST, OSDI, ATC, SOSP, EuroSys, HotStorage, MSST, and the storage journals (ACM TOS), writing delta-first contrast rather than a citation catalog, keeping self-citations double-blind, and handling concurrent,

  • fast-reproducibility

    Use when strengthening USENIX FAST reproducibility and open-science evidence, covering device and firmware provenance, device-state disclosure, trace availability and replay, claim-to-evidence mapping, honest degrees of reproducibility on hardware that ages and varies, and consistency between what t

  • fast-review-process

    Use when reasoning about how a USENIX FAST submission is evaluated, covering double-blind program-committee review with outside referees, the author-response (rebuttal) period, the Accept / Accept-with-shepherding / One-shot-Revision / Reject decision set, how a one-shot revision differs from a jour

  • fast-submission

    Use when auditing a USENIX FAST submission for HotCRP readiness, covering the choice between the Spring and Fall deadlines, abstract registration, the USENIX two-column template and 12-page (long) / 6-page (short) limit excluding references, double-blind anonymization, the artifact-availability stor

  • fast-supplementary

    Use when deciding what belongs in a USENIX FAST paper body versus its artifact and appendices, covering the USENIX two-column page budget (references excluded), the rule that decision-critical storage evidence stays inside the reviewed pages, double-blind supplementary material, and how to split a s

  • fast-topic-selection

    Use when deciding whether a storage project belongs at USENIX FAST or should be routed to OSDI, ATC, NSDI, EuroSys, HotStorage, MSST, SYSTOR, or a storage journal (ACM TOS), and when distinguishing FAST from general-systems siblings by storage-contribution shape, real-device evidence, and the two-de

  • fast-workflow

    Use when planning a USENIX FAST project timeline from venue fit through choosing a Spring or Fall deadline, double-blind submission, the author-response period, shepherding or a one-shot revision, artifact evaluation, and the open-access camera-ready, with backward-planning offsets tuned to storage

  • fast-writing-style

    Use when revising a USENIX FAST paper for a storage contribution on the first page, a design/mechanism narrative a storage reviewer can follow, an evaluation framed as the storage cost it changes (write amplification, tail latency, endurance, crash consistency), double-blind wording, and disciplined

View source on GitHub copaper.ai

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