claude

itcs-skills

Twelve ITCS-specific skills for the Innovations in Theoretical Computer Science conference and its open-access LIPIcs publication model, grounded in the ITCS 2026 Bocconi call, itcs-conf.org, the LIPIcs/DROPS proceedings, and dblp.

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

Plugin itcs-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)

  • itcs-artifact-evaluation

    Use to adapt the idea of an "artifact" to a pure-theory venue — at ITCS there is no artifact-evaluation track, no code, and no badges; the analogue is making every claim independently verifiable through complete proofs in the submitted PDF and a matching public full version, plus checkable finite ob

  • itcs-author-response

    Use to operate under the reality that ITCS has no rebuttal or author-response phase — pre-empting reviewer objections inside the submission, then handling the post-decision situation (camera-ready window on accept, or rerouting and reusing the reviews on reject) since there is no revise-and-resubmit

  • itcs-camera-ready

    Use when preparing an accepted ITCS paper for open-access publication in LIPIcs — switching to the lipics-v2021 document class, de-anonymizing, completing LIPIcs metadata (ACM CCS, keywords, funding), folding in reviewer-noted fixes, and passing the Schloss Dagstuhl production checks.

  • itcs-experiments

    Use when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a model concrete, and the rare, well-scoped illustrative computation or simulation — and how to keep any computational content checkable and subordinate to t

  • itcs-related-work

    Use when positioning an ITCS paper against the theory literature — writing the delta that proves the model/question is genuinely new, covering the right STOC/FOCS/SODA/CCC/TCC lanes, and staying honest under lightweight double-blind where the reference list is not anonymized.

  • itcs-reproducibility

    Use to make an ITCS paper's mathematics independently checkable — complete proofs of every central claim, self-contained definitions, pinned dependencies on prior results, and a matching full version on arXiv/ECCC/ePrint — the pure-theory analogue of a reproducibility package.

  • itcs-review-process

    Use to model the ITCS reviewing pipeline — a program committee plus external reviewers, conceptual-novelty weighting, lightweight double-blind, no author-response/rebuttal phase, and a single accept/reject decision — and to understand where the (limited) author leverage actually is.

  • itcs-submission

    Use when auditing an ITCS submission for HotCRP readiness — the early-September abstract-then-paper deadlines, single-column >= 11pt format with no hard page limit, the first-10-pages merits window, complete proofs of all central claims, the lightweight double-blind sweep, and the archival-prior-pub

  • itcs-supplementary

    Use when splitting an ITCS paper's content between the body, the appendix, and the arXiv/ECCC/ePrint full version — deciding by what a reviewer must verify, so no central proof lives only in a preprint the PC is not obligated to read, while keeping the first-10-pages merits window clean.

  • itcs-topic-selection

    Use when deciding whether a theoretical-computer-science result belongs at ITCS or should be routed to STOC, FOCS, SODA, CCC, ICALP, TCC, or a journal, and when distinguishing ITCS from its depth-first siblings by the conceptual-novelty test — is this a new question, model, or connection worth askin

  • itcs-workflow

    Use to plan an ITCS campaign end to end on its single annual cycle — backward from the early-September deadline through the no-rebuttal review, the November notification, the LIPIcs camera-ready, and the January conference with its Graduating Bits session.

  • itcs-writing-style

    Use when drafting or revising an ITCS paper's abstract, introduction, and technical presentation so the conceptual innovation lands before any theorem, the model is motivated as a lens rather than a tweak, scope and limitations are owned up front, and complete proofs are deferred cleanly — matching

View source on GitHub copaper.ai

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