psychrev-topic-selection
Use when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than an empirical report. Screens fit and frames the problem; it does NOT build the model (that is psychrev-theory-construction) or position it against rivals (psychrev-literature-positioning).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-topic-selection --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.
# Topic Selection & Theory-Fit Screening (psychrev-topic-selection) ## When to trigger - You have an idea but are unsure it rises to a Psychological Review problem - You have a rich empirical finding and are tempted to send it here - You cannot say what existing theory *fails* to explain - A collaborator asks "is this a Review paper or a JEP paper?" ## The first gate: is this theory at all? Psycho
What does the psychrev-topic-selection skill do?
Use when deciding whether an idea is a genuine theoretical problem with the scope and generality Psychological Review demands — and, critically, whether it is theory rather than an empirical report. Screens fit and frames the problem; it does NOT build the model (that is psychrev-theory-construction) or position it against rivals (psychrev-literature-positioning).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-topic-selection --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.