Agent skill · Code Review & Quality

psychrev-workflow

Use when deciding which psychrev-* sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission. Routes — does not replace — the specialized skills.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-workflow --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: Psychological-Review-Skills/skills/psychrev-workflow/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Psychological Review Theory Workflow (psychrev-workflow) ## Overview This is the router. It does not replace any specialized skill — it tells you **which psychrev-* skill to use at the current stage** of a Psychological Review manuscript. Default assumption: unless the user says otherwise, treat the target as Psychological Review — the American Psychological Association's flagship for **theoreti

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About this skill
What does the psychrev-workflow skill do?

Use when deciding which psychrev-* sub-skill to invoke next, or when sequencing a theory or formal-model manuscript from problem framing through masked-review revision for a Psychological Review submission. Routes — does not replace — the specialized skills.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-workflow --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.

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