psychrev-boundary-conditions
Use when setting the scope of a Psychological Review theory — what it explains, what it does NOT, and (for formal models) whether its parameters are identifiable. Bounds the theory; it does NOT derive its predictions (psychrev-argument-development) or frame its advance over rivals (psychrev-contribution-framing).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-boundary-conditions --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.
# Boundary Conditions, Scope & Identifiability (psychrev-boundary-conditions) ## When to trigger - Your theory reads as if it explains everything (a red flag to reviewers) - You have not said where the theory stops holding - For a formal model: you have not checked whether distinct parameter settings are distinguishable - A reviewer will ask "what would falsify this?" or "can you even estimate tha
What does the psychrev-boundary-conditions skill do?
Use when setting the scope of a Psychological Review theory — what it explains, what it does NOT, and (for formal models) whether its parameters are identifiable. Bounds the theory; it does NOT derive its predictions (psychrev-argument-development) or frame its advance over rivals (psychrev-contribution-framing).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-boundary-conditions --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.