psychrev-conceptual-exhibits
Use when designing the figures of a Psychological Review manuscript — model/architecture diagrams and simulation-of-model-behavior plots (NOT experiments). Builds the exhibits; it does NOT derive the predictions they display (psychrev-argument-development) or set the model's scope (psychrev-boundary-conditions).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-conceptual-exhibits --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.
# Conceptual Exhibits: Model Diagrams & Simulation Figures (psychrev-conceptual-exhibits) ## When to trigger - The theory is built and derived; now it must be shown - Your figure is boxes-and-arrows with no specified dynamics - You have a model but no plot of what it *does* - A reviewer will ask "show me the model's behavior, not just its architecture" ## The two figure types Psychological Review
What does the psychrev-conceptual-exhibits skill do?
Use when designing the figures of a Psychological Review manuscript — model/architecture diagrams and simulation-of-model-behavior plots (NOT experiments). Builds the exhibits; it does NOT derive the predictions they display (psychrev-argument-development) or set the model's scope (psychrev-boundary-conditions).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-conceptual-exhibits --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.