jcp-review-process
Use when calibrating expectations for the Journal of Consumer Psychology (JCP) review cycle — desk-screen odds, the area-editor/reviewer model, what "process is thin" really means, R&R norms, and the new-studies expectation. Sets expectations and revision strategy; the response letter itself is jcp-rebuttal.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-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 (jcp-review-process) ## When to trigger - A decision letter arrived and you must read what the editor actually wants - You are weighing whether the requested revision is feasible (new studies?) or a polite reject - You want realistic odds before submitting, or before investing in another study - Reviewers raise the same complaint ("the process isn't established") and you need a strategy - Deciding whether to push back, comply, or withdraw and reroute to a sibling ## How JCP review works A JCP submission goes to the **editor** (EiC **David Wooten** through 2026, with Co-Editors Rajesh Bagchi and Aparna Labroo; **Bagchi becomes EiC for 2027–2029** — verified 2026-06-22, re-verify the masthead), who may **desk-reject** for fit (no psychological process, wrong outlet, out of scope) or assign it to an **area/associate editor** who recruits reviewers — typically several SCP-community experts under **double-blind** review (confirm the exact model on the current Wiley/myscp author page). The editor synthesizes the reviews into a decision: reject, **major revision (R&R)**, minor revision, or accept. As at peer experimental journals, the most common positive outcome is a **m
- When to trigger
- How JCP review works
- Reading the letter for the binding constraint
- Calibrating effort and timeline
- Checklist
- Anti-patterns
- Output format
What does the jcp-review-process skill do?
Use when calibrating expectations for the Journal of Consumer Psychology (JCP) review cycle — desk-screen odds, the area-editor/reviewer model, what "process is thin" really means, R&R norms, and the new-studies expectation. Sets expectations and revision strategy; the response letter itself is jcp-rebuttal.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jcp-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.