arpsych-revision
Use when responding to the Annual Review of Psychology (ARPsych) Editor's or Committee's peer-review letter on a delivered review, or to copyediting/proof queries. Handles the post-delivery revision loop; it does not run the pre-delivery preflight (arpsych-submission) or re-audit balance from scratch (arpsych-comprehensiveness-and-balance).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arpsych-revision --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Revision — Responding to the Editor & Committee (arpsych-revision) ## When to trigger - A review letter arrived from the ARPsych Editor or a Committee member on the delivered draft - Copyediting or proof queries need responses - Reviewers flag coverage gaps, balance problems, length over-run, or accuracy issues - You must turn comments into a tracked, point-by-point revision ## What ARPsych revi
What does the arpsych-revision skill do?
Use when responding to the Annual Review of Psychology (ARPsych) Editor's or Committee's peer-review letter on a delivered review, or to copyediting/proof queries. Handles the post-delivery revision loop; it does not run the pre-delivery preflight (arpsych-submission) or re-audit balance from scratch (arpsych-comprehensiveness-and-balance).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill arpsych-revision --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.