claude

imc-skills

Twelve IMC-specific skills for the ACM Internet Measurement Conference, the SIGCOMM-sponsored empirical measurement flagship, grounded in the IMC 2026 call for papers, submission instructions, committees page, SIGCOMM/IMC event pages, the ACM Digital Library, and dblp.

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

Plugin imc-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)

  • imc-artifact-evaluation

    Use when preparing an ACM IMC artifact for release, covering the artifact-availability declaration, post-acceptance availability shepherding, DOI-issuing dataset archives, documenting measurement provenance and vantage points, Community Contribution Award eligibility, and the difference between the

  • imc-author-response

    Use when drafting ACM IMC author responses, covering the initial-review rebuttal and — distinctively — the One-Shot-Revision resubmission that must address a bounded set of action points, keep double-blind anonymity, satisfy the reviewer champion, and be re-judged by the same reviewers at the next d

  • imc-camera-ready

    Use when preparing an accepted ACM IMC paper for the proceedings, covering systematic de-anonymization, finalizing the Ethics and artifact-availability statements, permanentizing dataset and code links to DOI-issuing archives, satisfying the availability shepherd, Community Contribution Award eligib

  • imc-experiments

    Use when designing or auditing ACM IMC measurements, covering representative vantage points, honest ground truth, longitudinal design for a moving Internet, safe and ethical active measurement, coverage-bias quantification, provenance pinning, and matching the measurement to the shape of each claim

  • imc-related-work

    Use when writing or auditing the related-work and positioning of an ACM IMC paper, covering the measurement literature lanes, positioning against prior datasets and vantage points, delta-first framing, citing the datasets and tools you build on, distinguishing IMC from SIGCOMM/NSDI/PAM prior art, an

  • imc-reproducibility

    Use when strengthening ACM IMC reproducibility and availability evidence, covering the artifact-availability declaration, measurement provenance (vantage points, dates, tool versions), dataset release with schema, honest reproducibility for a moving Internet, the Replicability Track, and consistency

  • imc-review-process

    Use when reasoning about how an ACM IMC submission is evaluated, covering double-blind multi-round review, the Accept / One-Shot-Revision / Reject decision categories, the reviewer-champion rule and bounded action points, early rejection of consensus-reject papers, shepherding for artifact availabil

  • imc-submission

    Use when auditing an ACM IMC submission for HotCRP readiness, covering the paper-registration step, the acmart template with BBL upload, the full/short page limits, double-blind anonymity including vantage-point details, the mandatory Ethics section, the artifact-availability declaration, cycle choi

  • imc-supplementary

    Use when deciding what belongs in an ACM IMC paper body versus its appendix and released artifact, covering the acmart page limits, the rule that decision-critical evidence and the Ethics discussion stay in the reviewed pages, double-blind supplementary material, and how to split a measurement paper

  • imc-topic-selection

    Use when deciding whether an empirical networking project belongs at ACM IMC or should be routed to SIGCOMM, NSDI, CoNEXT, PAM, USENIX Security, WWW, or a journal, using the measurement-first test, the dataset/vantage-point lens, the ethics-gate check, and the two-deadline calendar.

  • imc-workflow

    Use when planning an ACM IMC campaign end to end, covering the choice between the two annual deadlines, backward planning from the target cutoff, the registration step, the One-Shot-Revision path across deadlines, availability shepherding, the camera-ready and dataset release, and the Replicability

  • imc-writing-style

    Use when drafting or revising the prose of an ACM IMC measurement paper, covering the first-page measurement finding, making vantage points and methodology auditable, longitudinal framing for a moving Internet, arguing limitations rather than reciting them, writing the Ethics section early, and acma

View source on GitHub copaper.ai

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