psychrev-theory-construction
Use when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal structure, and derivations. Constructs the model; it does NOT derive and test predictions against data (that is psychrev-argument-development) or set scope and identifiability limits (psychrev-boundary-conditions).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-theory-construction --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.
# Theory & Model Construction (psychrev-theory-construction) ## When to trigger - The problem and the rivals are set; now you must build the theory - You have intuitions but no explicit assumptions or mechanism - Your "model" is a diagram with no specified dynamics or equations - Verbal claims need to be made formal enough to derive predictions ## The build order A Psychological Review theory is a
What does the psychrev-theory-construction skill do?
Use when building the actual theory or formal/computational model for a Psychological Review manuscript — turning a framed problem into explicit assumptions, mechanisms, formal structure, and derivations. Constructs the model; it does NOT derive and test predictions against data (that is psychrev-argument-development) or set scope and identifiability limits (psychrev-boundary-conditions).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-theory-construction --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.