arpsych-submission

Installation
SKILL.md

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).
Installs
1
GitHub Stars
975
First Seen
Jul 24, 2026
arpsych-submission — brycewang-stanford/awesome-journal-skills