psci-review-process
Use when you need to understand how Psychological Science evaluates a manuscript — anonymized peer review, editorial weighting of robustness, transparency, and preregistration quality, desk-reject and decline-without-review patterns, and the Registered Reports route. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psci-review-process --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.
# Review Process (psci-review-process) Psychological Science combines high-impact selectivity with strong credibility checks. Reviewers and editors weigh not only whether the finding is interesting, but whether it is **robust**, **adequately powered**, and **transparent**. Knowing this lets you pre-empt the common rejection reasons. ## When to trigger - Before submitting, to stress-test the manusc
What does the psci-review-process skill do?
Use when you need to understand how Psychological Science evaluates a manuscript — anonymized peer review, editorial weighting of robustness, transparency, and preregistration quality, desk-reject and decline-without-review patterns, and the Registered Reports route. Use when stress-testing a paper before submission or interpreting a decision letter. Sets expectations and shapes the paper to survive review; it does not contact editors.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psci-review-process --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.