agentsclimarketplace

International conference on automated planning and scheduling

Skill brycewang-stanford/Awesome-Journal-Skills/Computer-Science-Conference-Skills/skills/international-conference-on-automated-planning-and-scheduling

Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill international-conference-on-automated-planning-and-scheduling

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Use when targeting International Conference on Automated Planning and Scheduling (ICAPS) or deciding whether a computer-science manuscript fits this venue. Encodes conference fit, framing, evidence bar, submission-cycle checks, rebuttal posture, and desk-reject risks for planning and scheduling.

SKILL.md

9.1 KB, as published. Nobody here has run it

International Conference on Automated Planning and Scheduling (ICAPS)

Conference positioning

International Conference on Automated Planning and Scheduling (ICAPS) is a top computer-science conference venue for automated planning, scheduling, search, temporal reasoning, and decision processes. It rewards a planning paper with formal problem structure and empirical or theoretical planner evidence. Treat this skill as a fit / venue-selection / re-framing tool for conference submission strategy, not as a substitute for the current year's CFP, author kit, ethics policy, or submission portal.

Because CS conferences change deadlines, templates, page limits, review workflow, artifact rules, AI-use policy, and rebuttal formats every cycle, always verify the live official instructions before making a submission-ready recommendation. Start from the official source anchor recorded for this venue in ../../resources/conference-roster.md and ../../resources/official-source-map.md.

When to trigger

  • The author names ICAPS / International Conference on Automated Planning and Scheduling as the target venue.
  • A manuscript in automated planning needs a conference-fit read before being formatted or submitted.
  • The paper must be re-framed from journal style or arXiv style into a selective CS conference narrative.
  • The author needs an evidence-gap, anonymity, artifact, rebuttal, or re-routing diagnosis for this venue.

Scope & topic fit

  • Core fit: automated planning, scheduling, search, temporal reasoning, and decision processes.
  • Best submissions make a precise contribution type visible: algorithm, theorem, system, dataset, benchmark, empirical finding, design artifact, tool, or socio-technical analysis.
  • The paper should explain why the result matters to ICAPS's reviewers, not just why it is interesting to the authors' lab or product context.
  • Position related work against the most recent conference-cycle papers in this venue and its closest siblings; stale comparisons are a common early-review weakness.
  • If the contribution is interdisciplinary, state which part is CS research and which part is domain evidence.

Venue-specific calibration

  • Reviewer lens: Treat ICAPS as automated planning and scheduling: search spaces, temporal/resource constraints, planners, heuristics, and benchmark domains are central. It is not a generic AI venue for any algorithmic paper.
  • Contribution hook to foreground: the venue-specific contribution bar.
  • Scope vocabulary to use naturally in the abstract and introduction: automated planning, scheduling, search, temporal reasoning, and decision processes.
  • Distinctive fingerprint for reviewer calibration: automated, planning, scheduling, search, temporal, reasoning, decision, processes, venue-specific, contribution, icaps-conference.
  • Official anchor domain: icaps-conference.org. Quote annual rules only after opening that source and the current-year CFP/author kit.

Close-neighbor routing guardrail

  • Use this profile only when the manuscript's central contribution is genuinely in planning and scheduling and the author can say why ICAPS reviewers are the primary audience, not merely a convenient deadline.
  • Closest roster neighbors to compare before final routing: international-semantic-web- conference (ISWC), international-conference-on-knowledge-capture (K-CAP), international- conference-on-principles-of-knowledge-representation-and-reasoning (KR), international- conference-on-autonomous-agents-and-multiagent-systems (AAMAS). Break ties by contribution type, evidence shape, reviewer community, and the current official CFP from icaps- conference.org.

ICAPS-specific routing detail

  • Prefer ICAPS when the reusable contribution is a planner, scheduler, search heuristic, temporal/resource model, benchmark domain, or decision-process formulation, and the evidence shows planning/scheduling behavior rather than generic predictive accuracy.
  • Use KDD only when the discovery or data-mining contribution is primary; a planner evaluated on large operational data still belongs at ICAPS if the algorithmic insight is about search, constraints, schedules, or temporal plans.
  • Compare with CPAIOR for hybrid AI/OR optimization, AAMAS for multi-agent planning, KR for representation/reasoning depth, and AAAI/IJCAI when the planning contribution is part of a broader AI method.

Method & evidence bar

  • Compare against current strong baselines and explain exactly what changes in the algorithm, objective, data, or inference procedure.
  • Report ablations that isolate the claimed mechanism; do not rely on aggregate benchmark wins alone.
  • Document data, compute, hyperparameters, model selection, and failure cases so the result can be reviewed as science rather than demo output.
  • For ICAPS, the evidence must support the venue-specific signature: a planning paper with formal problem structure and empirical or theoretical planner evidence.
  • Include limitations, negative results, compute/resource reporting, data provenance, and ethics details when they affect the claim.

Structure & house style

  • Frame the contribution as a reusable idea: method, theory, benchmark, dataset, system, or socio-technical finding.
  • Separate main claims from exploratory results; reviewers at top AI venues punish overclaiming and hidden cherry-picking.
  • Use the current official template exactly; do not guess page limits, font sizes, supplement rules, anonymity exceptions, or camera-ready requirements from old cycles.
  • The introduction should answer: problem, why now, what is new, why this venue, and what evidence proves the claim.
  • Put the strongest result in the main paper, not only in the appendix or supplement; reviewers should not have to reconstruct the contribution.

Official-cycle checklist

  • Open the live official venue page: https://icaps-conference.org/
  • Re-check the current cycle's CFP, author kit, submission system, abstract/paper deadlines, page limits, supplementary-material rules, anonymity policy, dual-submission policy, ethics policy, AI-use policy, artifact/code/data expectations, rebuttal/author-response format, and camera-ready requirements.
  • Confirm the review workflow and portal: OpenReview / CMT / HotCRP / PCS / START or society portal, as specified for the current cycle.
  • Check whether accepted papers require in-person presentation, separate registration, artifact badges, proceedings copyright, or post-acceptance release forms.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence states why this manuscript belongs at ICAPS, using the venue's scope rather than generic "top conference" language.
  • The claim is calibrated to the evidence: no broader than the datasets, proofs, systems, user studies, deployments, or threat model support.
  • Related work includes the nearest current-cycle planning and scheduling papers and explains the technical delta.
  • The paper satisfies the current official template, anonymity, ethics, artifact, and rebuttal requirements.
  • The main paper is self-contained enough for reviewers to evaluate novelty and correctness without hunting through external links.

Common desk-reject triggers

  • Leaderboard-only novelty with weak explanation of why the method works.
  • Unclear data contamination, missing baselines, or evaluation that cannot be reproduced.
  • Claims about safety, fairness, health, or society without matching evidence and limitations.
  • Formatting, anonymity, dual-submission, external-link, or supplement violations under the current-year policy.
  • A contribution framed for a neighboring field while giving ICAPS reviewers too little technical or empirical substance.

Re-routing decision

If the paper misses ICAPS's bar, compare against neural-information-processing-systems / international-conference-on-machine-learning / international-conference-on-learning-representations / aaai-conference-on-artificial-intelligence. Re-route based on contribution type, not prestige: theory to a theory venue, systems to a systems venue, application-heavy work to a domain venue, and early ideas to workshops or shorter tracks when the official CFP supports them.

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] International Conference on Automated Planning and Scheduling (ICAPS)
[Contribution type] algorithm / theory / system / dataset / benchmark / empirical / design / security / other
[Main evidence gap] <single most important missing proof, experiment, study, artifact, or policy check>
[Official items to re-check] CFP / author kit / deadline / format / anonymity / ethics / AI-use / artifact / rebuttal / camera-ready
[Top rejection risk] <venue-specific risk>
[Re-route suggestion] <better-matched conference or journal if not a fit>

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.