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Arpsych submission

Skill brycewang-stanford/Awesome-Journal-Skills/Annual-Review-of-Psychology-Skills/skills/arpsych-submission

Use when running the final delivery preflight for a commissioned Annual Review of Psychology (ARPsych) review via the Annual Reviews production system — disclosures, reference/format compliance, figure permissions, length, and the transparency of any embedded meta-analysis. Final checks; it does not draft content or handle the post-review revision (arpsych-revision).From its SKILL.md

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill arpsych-submission

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

SKILL.md

5.7 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Delivery Preflight (arpsych-submission)

When to trigger

  • "Delivering soon" — last check before handing the commissioned review to Annual Reviews
  • Unsure which files, declarations, and permissions the production system expects
  • Confirming length, reference completeness, and figure specs are Annual Reviews-ready
  • Verifying transparency obligations for any quantitative synthesis the review reports

Process facts (检索于 2026-06；以官网为准 — re-confirm on the Annual Reviews author pages)

  • Publisher / venue. ARPsych is published by Annual Reviews (nonprofit), founded 1950, as an annual volume, co-edited by Susan T. Fiske (since 2000) and Daniel L. Schacter (co-editors listed for Volume 77, 2026; web-verified 2026-06-22, re-verify before relying); it is a review series, distinct from Psychological Bulletin (submitted reviews/meta-analyses), Annual Review of Clinical Psychology (clinical sister), and Perspectives on Psychological Science (essays). Articles are commissioned by the Editorial Committee; there is no cold-submission portal for unsolicited manuscripts — delivery happens within the invited-article workflow (检索于 2026-06；以官网为准).
  • Open access. Volumes are published open access under the Subscribe-to-Open (S2O) model (since 2023), under a Creative Commons license — there is no author-facing APC under S2O (检索于 2026-06；以官网为准). Do not treat S2O as a pay-to-publish APC.
  • Length. Each article has a length assigned in the invitation letter, including figures and tables; keep to it (检索于 2026-06；以官网为准). There is no single journal-wide word limit — it is per-invitation.
  • Manuscript prep. Annual Reviews asks for material double spaced in 12-point type; references must be complete and accurate (检索于 2026-06；以官网为准). House reference/format style is applied at production copyediting, so the delivered draft need not pre-conform — but reference data must be complete.
  • Disclosure (required). Annual Reviews requires authors to disclose potential sources of bias / conflicts of interest; funding sources are stated. Prepare per the author pages (检索于 2026-06；以官网为准).
  • Transparency of the review itself. A pure review reports no new data; the obligation bites on the documented search (from arpsych-literature-synthesis) and on any meta-analysis the review contributes — its data and code should be reproducible and depositable (检索于 2026-06；以官网为准).
  • Figures / permissions. Confirm figure specs and secure permission for any reproduced/adapted exhibit (检索于 2026-06；以官网为准).

Preflight checklist

Article & files

  • This is a commissioned/invited article delivered in the invited workflow (not a cold submission)
  • Manuscript within the assigned length (figures and tables included)
  • Double-spaced, 12-point; references complete and accurate (house style applied at production)
  • Title page: title, complete author affiliations, keywords; review-style abstract
  • Figures meet current specs; reproduced exhibits have permission and attribution

Transparency

  • Search account documented (databases, terms, dates, in/out) — near-PRISMA where applicable
  • Any meta-analysis: effect data + code reproducible and depositable (OSF DOI)

Declarations

  • Conflict-of-interest / potential-bias disclosure prepared per Annual Reviews policy
  • Funding sources stated
  • AI not listed as an author

Volatile re-confirms

  • Assigned length, current reference style, figure specs, disclosure format, S2O/OA status — re-checked on the Annual Reviews author pages (检索于 2026-06)

Anti-patterns

  • Treating ARPsych like a journal with a cold-submission portal — it is invited; deliver through the commissioned workflow
  • Treating S2O open access as a pay-to-publish APC (it is not author-funded under S2O)
  • Over-running the assigned length or omitting figures/tables from the length count
  • Omitting the conflict-of-interest / bias disclosure Annual Reviews requires
  • Asserting a length limit, fee, or editor name from memory rather than the live author pages
  • Delivering a meta-analysis with no reproducible data/code, or a review with no documented search

Output format

【Article type】commissioned/invited review (not cold submission)? Y/N
【Length】within the assigned length (figures/tables included)? Y/N
【Manuscript prep】double-spaced 12pt; references complete + accurate? Y/N
【Abstract + front matter】review-style abstract, keywords, affiliations? Y/N
【Transparency】search documented; meta-analysis (if any) reproducible? Y/N
【Disclosure】COI / bias disclosure + funding prepared? Y/N
【Figures】specs met; permissions secured? Y/N
【Volatile re-confirms】length / style / OA / disclosure checked on Annual Reviews pages? Y/N
【Next step】deliver to Annual Reviews → arpsych-revision when the editor/peer-review letter arrives

Supplementary resources

What ships with it: 1 file

2.0 KB alongside SKILL.md

templates/

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