psychrev-contribution-framing
Use when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on. Frames the contribution; it does NOT build the model (psychrev-theory-construction) or position it in the literature (psychrev-literature-positioning).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-contribution-framing --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.
# Contribution Framing (psychrev-contribution-framing) ## When to trigger - The theory is built, derived, and bounded; now you must say why it matters - You can describe what your model *is* but not what is *new* about it - A reviewer will ask "how is this an advance over [the standing model]?" - The contribution reads as "we propose a model of X" with no before → after ## The two questions every
What does the psychrev-contribution-framing skill do?
Use when articulating the theoretical advance of a Psychological Review manuscript — what the field can explain after the paper that it could not before, stated against the specific prior models it improves on. Frames the contribution; it does NOT build the model (psychrev-theory-construction) or position it in the literature (psychrev-literature-positioning).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill psychrev-contribution-framing --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.