aejmac-literature-positioning
Use when the contribution of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript relative to the macro frontier is fuzzy, contested, or undersold. Frames the marginal contribution against quantitative-theory and identified-empirical literatures; it does not fix the identification or the model itself.
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-literature-positioning --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.
# Literature Positioning (aejmac-literature-positioning) ## When to trigger - The introduction cites many papers but never says what is *new* - A referee could ask "how is this different from [the obvious prior paper]?" and you lack a one-line answer - The paper sits between a theory literature and an empirical literature and the bridge is unclear - The contribution is real but framed as increment
What does the aejmac-literature-positioning skill do?
Use when the contribution of an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript relative to the macro frontier is fuzzy, contested, or undersold. Frames the marginal contribution against quantitative-theory and identified-empirical literatures; it does not fix the identification or the model itself.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-literature-positioning --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.