claude

sensys-skills

Twelve SenSys-specific skills for the sensing/embedded-AI conference: topic routing after the SenSys/IPSN/IoTDI merger, two-deadline submission strategy, real-testbed evaluation, energy and low-power measurement, artifacts, and ACM camera-ready, grounded in the SenSys 2026/2027 CFPs.

1,413 on GitHubby Bryce Wangv1.1.0MITupdated 1 month agoacademic
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Plugin sensys-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)

  • sensys-artifact-evaluation

    Use when packaging a SenSys artifact for the Artifact Evaluation Committee — choosing which of the three ACM badges (Available, Functional, Reproduced) to pursue, building a hardware-optional evaluation path for reviewers without your testbed, documenting energy and hardware provenance, and passing

  • sensys-author-response

    Use when writing a SenSys Response to Reviewers for a resubmission — treating the reviews as a required-changes contract, mapping each blocking concern to a specific change and the new measurement that closes it, staging the energy and testbed experiments a systems revision demands, and keeping the

  • sensys-camera-ready

    Use when preparing an accepted SenSys camera-ready — de-anonymizing the double-column ACM final, completing ACM rights and metadata, restoring acknowledgments, landing the awarded ACM artifact badges onto the paper, releasing traces and firmware within their constraints, and planning the in-person t

  • sensys-experiments

    Use when designing or auditing a SenSys evaluation — energy and low-power measurement with a named instrument, real-testbed and deployment realism, honest sensor ground truth, on-device latency and memory, and same-hardware baselines, so the evidence meets SenSys's built-and-measured bar rather than

  • sensys-related-work

    Use when positioning a SenSys paper against the sensing, embedded, IoT, and on-device-AI literature — sweeping the right venue lanes after the SenSys/IPSN/IoTDI merger, proving each citation's venue via dblp/ACM DL against the MobiCom/NSDI/IPSN traps, distinguishing your mechanism from the nearest p

  • sensys-reproducibility

    Use when making a SenSys result reproducible across a different testbed — capturing energy-measurement method, hardware and firmware provenance, sensor ground-truth protocol, and deployment conditions while the testbed is still live, and deciding early which traces and firmware can legally and safel

  • sensys-review-process

    Use when interpreting SenSys's two-deadline, self-contained review model — what a first-deadline outcome means, that a reject may return at the second deadline only with a substantive revision and Response to Reviewers, how systems reviewers weigh energy and deployment evidence, and how to classify

  • sensys-submission

    Use when running the final pre-upload audit of a SenSys submission — confirming the right per-edition HotCRP site and which of the two deadlines is open, the AoE cutoff in local time, the 12/6-page double-column cap, the double-blind sweep including hardware and deployment leaks, and the resubmissio

  • sensys-supplementary

    Use when deciding what goes in a SenSys paper's body versus its unlimited references and appendices versus HotCRP fields — keeping the double-column body carrying the argument, moving full protocols, extra plots, and derivations to the appendix, blinding anonymous artifact links, and keeping the Res

  • sensys-topic-selection

    Use when deciding whether a project belongs at SenSys after the 2026 merger absorbed IPSN and IoTDI — testing whether the contribution is a built, measured sensing/embedded/IoT/on-device-AI system rather than a pure algorithm, a mobile-networking mechanism, or an offline ML result, and routing misfi

  • sensys-workflow

    Use when planning a SenSys campaign against the two-deadline calendar — deciding which deadline to target and which edition it feeds, backward-scheduling so energy campaigns and long-term deployments finish before freeze, budgeting time for the resubmission-with-revision path, and sequencing fit, bu

  • sensys-writing-style

    Use when drafting or revising a SenSys paper's abstract, introduction, and system sections — building the sensing-pain to mechanism to measured-behavior arc inside the double-column limit, putting the buildable system on the first page, reporting energy and latency as numbers not adjectives, and pai

View source on GitHub copaper.ai

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