claude

cav-skills

Twelve CAV-specific skills for the International Conference on Computer Aided Verification and its Springer LNCS open-access proceedings, grounded in the CAV 2026 (FLoC, Lisbon) call, the LNCS proceedings, i-cav.org, and dblp.

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

Plugin cav-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)

  • cav-artifact-evaluation

    Use when packaging a CAV (Computer Aided Verification) artifact for the Artifact Evaluation Committee (AEC), covering the three badges (Available / Functional / Reusable), the smoke-test and full-review phases, ≥2 AEC reviewers per artifact, DOI-issuing archives, verification-tool packaging (solvers

  • cav-author-response

    Use when drafting a CAV (Computer Aided Verification) author response (rebuttal) for a paper that has passed the two-stage review's first filter, covering how to answer soundness/proof objections, benchmark-fairness challenges, and novelty-delta doubts with verifiable evidence while preserving doubl

  • cav-camera-ready

    Use when preparing an accepted CAV (Computer Aided Verification) paper for its Springer LNCS open-access camera-ready, covering de-anonymization for the previously double-blind categories, the LNCS llncs template and Springer metadata (ORCID, author order, running heads), the copyright/open-access f

  • cav-experiments

    Use when designing or auditing a CAV (Computer Aided Verification) empirical evaluation, covering standard benchmark sets (SV-COMP/SMT-COMP/HWMCC/VNN-COMP), fair baseline solvers with pinned versions and equal resource limits, timeout-dominated comparisons, soundness cross-checks and proof witnesses

  • cav-related-work

    Use when positioning a CAV (Computer Aided Verification) submission against the verification literature across CAV, TACAS, FMCAD, VMCAI, POPL/PLDI, and the journals (FMSD, JAR, TOCL, STTT), writing delta-first contrast rather than a citation catalog, crediting the right benchmark and tool lineages,

  • cav-reproducibility

    Use when strengthening CAV (Computer Aided Verification) reproducibility, covering benchmark provenance (SV-COMP/SMT-COMP/HWMCC/VNN-COMP set revisions), pinned tool and baseline versions, resource limits and hardware, seeds for randomized/portfolio solvers, checkable proof witnesses/certificates for

  • cav-review-process

    Use when reasoning about how a CAV (Computer Aided Verification) submission is evaluated, covering the two-stage reviewing process (two reviews then an early-reject filter, then two more reviews with a rebuttal), the partial double-anonymity by category, the accept/reject outcome, the optional non-c

  • cav-submission

    Use when auditing a CAV (Computer Aided Verification) submission for portal readiness, covering the four submission categories (Regular / Short Tool / Short Application / Industrial Experience & Case Studies), the LNCS page limits, the per-category anonymization matrix, the artifact-intent declarati

  • cav-supplementary

    Use when deciding what belongs in a CAV (Computer Aided Verification) paper body versus its optional appendix and artifact, covering the LNCS page limits, the rule that reviewers are not obliged to read the appendix so decision-critical content stays in the body, where full proofs and benchmark tabl

  • cav-topic-selection

    Use when deciding whether a formal-methods project belongs at CAV (Computer Aided Verification) or should be routed to TACAS, FMCAD, VMCAI, LPAR/IJCAR, POPL/PLDI/OOPSLA, or a journal (FMSD/JAR/TOCL), and when choosing the right CAV category — Regular, Short Tool, Short Application, or Industrial Exp

  • cav-workflow

    Use when planning a CAV (Computer Aided Verification) project timeline from venue and category selection through submission, the two-stage review with early reject and rebuttal, artifact evaluation by the AEC, and the LNCS open-access camera-ready, with backward-planning offsets for a verification-t

  • cav-writing-style

    Use when revising a CAV (Computer Aided Verification) paper for a precise verification contribution on the first page, an explicit soundness/completeness statement, theorem-and-proof discipline in the LNCS page budget, fair benchmark claims, honest scope and limits, and double-blind wording for the

View source on GitHub copaper.ai

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