psci-rebuttal
Use when writing the response to a Psychological Science revise-and-resubmit. Reviews here often demand added robustness, fuller disclosure, or stronger transparency, so the response must address every point and strengthen credibility without breaking the tight format. Structures the response letter; it does not fabricate new results.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psci-rebuttal --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.
# R&R Rebuttal (psci-rebuttal) A Psychological Science **R&R** typically asks for **more robustness, fuller disclosure, or stronger transparency** — and all of it has to fit back inside a **very tight word format**. The response letter must convert every reviewer and reassure the editor on credibility, while keeping the paper within budget. ## When to trigger - An R&R arrived and you are planning
What does the psci-rebuttal skill do?
Use when writing the response to a Psychological Science revise-and-resubmit. Reviews here often demand added robustness, fuller disclosure, or stronger transparency, so the response must address every point and strengthen credibility without breaking the tight format. Structures the response letter; it does not fabricate new results.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psci-rebuttal --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.