/asplos-review-process
Use when reasoning about how an ASPLOS submission will be judged — the two-page rapid-review screen and what it filters, full double-blind review, the author-response window, the Accept / Major Revision / Reject outcome set, how revisions are re-reviewed as submissions, and
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill asplos-review-process --agent claude-codeHow it fires
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- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
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/asplos-review-process
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The summary Claude sees to decide when to auto-load this skill.
Use when reasoning about how an ASPLOS submission will be judged — the two-page rapid-review screen and what it filters, full double-blind review, the author-response window, the Accept / Major Revision / Reject outcome set, how revisions are re-reviewed as submissions, and
SKILL.md
asplos-review-process.SKILL.mdname: asplos-review-process
description: Use when reasoning about how an ASPLOS submission will be judged — the two-page rapid-review screen and what it filters, full double-blind review, the author-response window, the Accept / Major Revision / Reject outcome set, how revisions are re-reviewed as submissions, and where authors actually hold leverage in each stage.
ASPLOS Review Process
ASPLOS 2027 runs a staged pipeline that differs from every sibling venue in two places: an explicit **rapid-review screen on the first two pages**, and a **Major Revision** outcome with journal-like mechanics. Everything below is the 2027 cycle as verified 2026-07-08; stage design is re-decided per edition.
Stage map
| Stage | Who reads what | Author leverage | |---|---|---| | Rapid review | Committee members read **pages 1-2 only**, double-blind | Total — you wrote those pages | | Full review | Full paper, double-blind, multiple reviewers | High before submission, zero during | | Author response | Reviews + your rebuttal (reading expectation ≈ 800 words) | Moderate — corrections and answers land | | Decision | Accept / **Major Revision** / Reject | None | | Revision re-review | Revised paper + change note, judged as a submission | High — the requirements are written down |
What the rapid review is for — in the CFP's own framing
The 2027 CFP models the screen on early triage at high-impact journals: most submissions may not advance past it, and the point is to concentrate expert reviewer effort on papers where the committee can review with high confidence. Two consequences for authors:
- The screen **prioritizes work at the architecture-languages-OS intersection**.
A paper that reads like a pure single-community result in its first two pages is the archetypal rapid casualty, whatever its page-7 content.
- Rapid rejection is cheap and fast for the PC but carries little diagnostic signal
for you beyond "the first two pages did not make the case." Re-aim the framing before re-aiming the venue.
Full review: what systems-intersection reviewers probe
A useful red-team script — have a non-author run it against the submitted PDF:
R1 Is the claimed coupling real? Try to mentally re-implement each half
without the other; if either succeeds, expect a "why not <single venue>?"
R2 Is the baseline the strongest deployed alternative, tuned, on the same
platform? Find one stronger baseline the paper skipped.
R3 Does the evidence class match the claim (silicon vs FPGA vs simulator)?
Flag any latency/energy claim resting on an unvalidated model.
R4 Attribution: is the win traced to the mechanism via ablation, or asserted?
R5 Generality: does anything survive a workload/technology parameter change?
R6 Are the citation and formatting rules met? (Reviewers do notice.)The Major Revision channel, precisely
- Offered to some submissions **in addition to** Accept and Reject.
- The revision is submitted **at the camera-ready deadline — six weeks after
notification** — a short window that assumes the required work is already scoped.
- The revision **counts as a submission**: if it is not accepted and you later
resubmit, your change note describes deltas **relative to the revision**, not the original. The process has memory; treat every revision commitment as on-record.
- Leverage is highest here of any stage: the decision letter enumerates what must
change. Build the revision as a checklist against that letter and nothing else — unsolicited rewrites add risk without credit.
Response window mechanics
The 2027 windows are short and fixed (April cycle: July 6-9, 2026; September cycle: December 1-4, 2026), and the CFP scopes rebuttals to correcting factual errors and answering reviewers' questions, with ~800 words of expected reader attention. Strategy and drafting live in `asplos-author-response`; the process fact to hold here is that **no new experiments can be demanded of reviewers' attention** — the rebuttal reallocates credit across existing evidence, nothing more.
Confidentiality and conduct facts
- Reviewing is double-blind in both directions; do not attempt reviewer
identification, and keep review content off public channels.
- Program leadership rotates per edition — precedent from a previous year's chairs
binds nothing this year.
- Decisions are final within a cycle; the sanctioned second chance is the September
gate or the revision channel, not appeal.
Reading a review packet for structure, not sentiment
When reviews arrive, extract three structural facts before reacting to tone:
- **Expertise distribution** — which community each reviewer writes from
(vocabulary and the lane of related work they cite give it away). A packet with no reviewer from one of your two coupled communities means that half of the paper was under-audited; expect the discussion to defer to whoever is closest.
- **Convergence** — three reviewers independently naming the same gap is an
evidence problem; three naming different gaps is usually a framing problem, fixable in prose.
- **The champion test** — does any review advocate ("this changes how X should
be built") rather than merely tolerate? Committee outcomes at selective venues track advocacy; a response strategy (`asplos-author-response`) should aim to arm the most positive reviewer with answers they can repeat.
The pipeline on a calendar
For the live September gate: submission September 9, 2026 → rapid + full review through the autumn → author response December 1-4 → notification December 21 → Major Revision (if offered) due at the camera-ready deadline ~6 weeks later → conference April 11-15, 2027 in Heraklion. The structural implication: between September and December, author leverage is zero — the productive use of that window is preparing response infrastructure (claim-to-evidence index, appendix pointer list) so the four-day response window spends itself on drafting, n
Read more
name: asplos-review-process description: Use when reasoning about how an ASPLOS submission will be judged — the two-page rapid-review screen and what it filters, full double-blind review, the author-response window, the Accept / Major Revision / Reject outcome set, how revisions are re-reviewed as submissions, and where authors actually hold leverage in each stage.
ASPLOS Review Process
ASPLOS 2027 runs a staged pipeline that differs from every sibling venue in two places: an explicit **rapid-review screen on the first two pages**, and a **Major Revision** outcome with journal-like mechanics. Everything below is the 2027 cycle as verified 2026-07-08; stage design is re-decided per edition.
Stage map
| Stage | Who reads what | Author leverage | |---|---|---| | Rapid review | Committee members read **pages 1-2 only**, double-blind | Total — you wrote those pages | | Full review | Full paper, double-blind, multiple reviewers | High before submission, zero during | | Author response | Reviews + your rebuttal (reading expectation ≈ 800 words) | Moderate — corrections and answers land | | Decision | Accept / **Major Revision** / Reject | None | | Revision re-review | Revised paper + change note, judged as a submission | High — the requirements are written down |
What the rapid review is for — in the CFP's own framing
The 2027 CFP models the screen on early triage at high-impact journals: most submissions may not advance past it, and the point is to concentrate expert reviewer effort on papers where the committee can review with high confidence. Two consequences for authors:
- The screen **prioritizes work at the architecture-languages-OS intersection**.
A paper that reads like a pure single-community result in its first two pages is the archetypal rapid casualty, whatever its page-7 content.
- Rapid rejection is cheap and fast for the PC but carries little diagnostic signal
for you beyond "the first two pages did not make the case." Re-aim the framing before re-aiming the venue.
Full review: what systems-intersection reviewers probe
A useful red-team script — have a non-author run it against the submitted PDF:
R1 Is the claimed coupling real? Try to mentally re-implement each half
without the other; if either succeeds, expect a "why not <single venue>?"
R2 Is the baseline the strongest deployed alternative, tuned, on the same
platform? Find one stronger baseline the paper skipped.
R3 Does the evidence class match the claim (silicon vs FPGA vs simulator)?
Flag any latency/energy claim resting on an unvalidated model.
R4 Attribution: is the win traced to the mechanism via ablation, or asserted?
R5 Generality: does anything survive a workload/technology parameter change?
R6 Are the citation and formatting rules met? (Reviewers do notice.)The Major Revision channel, precisely
- Offered to some submissions **in addition to** Accept and Reject.
- The revision is submitted **at the camera-ready deadline — six weeks after
notification** — a short window that assumes the required work is already scoped.
- The revision **counts as a submission**: if it is not accepted and you later
resubmit, your change note describes deltas **relative to the revision**, not the original. The process has memory; treat every revision commitment as on-record.
- Leverage is highest here of any stage: the decision letter enumerates what must
change. Build the revision as a checklist against that letter and nothing else — unsolicited rewrites add risk without credit.
Response window mechanics
The 2027 windows are short and fixed (April cycle: July 6-9, 2026; September cycle: December 1-4, 2026), and the CFP scopes rebuttals to correcting factual errors and answering reviewers' questions, with ~800 words of expected reader attention. Strategy and drafting live in `asplos-author-response`; the process fact to hold here is that **no new experiments can be demanded of reviewers' attention** — the rebuttal reallocates credit across existing evidence, nothing more.
Confidentiality and conduct facts
- Reviewing is double-blind in both directions; do not attempt reviewer
identification, and keep review content off public channels.
- Program leadership rotates per edition — precedent from a previous year's chairs
binds nothing this year.
- Decisions are final within a cycle; the sanctioned second chance is the September
gate or the revision channel, not appeal.
Reading a review packet for structure, not sentiment
When reviews arrive, extract three structural facts before reacting to tone:
- **Expertise distribution** — which community each reviewer writes from
(vocabulary and the lane of related work they cite give it away). A packet with no reviewer from one of your two coupled communities means that half of the paper was under-audited; expect the discussion to defer to whoever is closest.
- **Convergence** — three reviewers independently naming the same gap is an
evidence problem; three naming different gaps is usually a framing problem, fixable in prose.
- **The champion test** — does any review advocate ("this changes how X should
be built") rather than merely tolerate? Committee outcomes at selective venues track advocacy; a response strategy (`asplos-author-response`) should aim to arm the most positive reviewer with answers they can repeat.
The pipeline on a calendar
For the live September gate: submission September 9, 2026 → rapid + full review through the autumn → author response December 1-4 → notification December 21 → Major Revision (if offered) due at the camera-ready deadline ~6 weeks later → conference April 11-15, 2027 in Heraklion. The structural implication: between September and December, author leverage is zero — the productive use of that window is preparing response infrastructure (claim-to-evidence index, appendix pointer list) so the four-day response window spends itself on drafting, n
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Other skills on awesome-journal-skills.
- /aaai-artifact-evaluation
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.
Open skill - /aaai-author-response
Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round
Open skill - /aaai-camera-ready
Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and
Open skill - /aaai-experiments
Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and
Open skill - /aaai-related-work
Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a
Open skill - /aaai-reproducibility
Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that
Open skill

