qe-literature-positioning
Use to stake a Quantitative Economics (QE) manuscript's contribution against the frontier — what quantitative gap it closes relative to prior empirical, structural, and methodological work, and against its Econometric Society siblings. Positions the paper; it does not write a standalone literature survey.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qe-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 (qe-literature-positioning) ## When to trigger - The contribution relative to existing quantitative work is fuzzy or oversold - You cannot name the two or three papers you are building on and the one you are beating - A referee will ask "what is new here beyond [prior structural/empirical paper]?" - You are unsure whether the positioning reads as QE rather than Econometric
What does the qe-literature-positioning skill do?
Use to stake a Quantitative Economics (QE) manuscript's contribution against the frontier — what quantitative gap it closes relative to prior empirical, structural, and methodological work, and against its Econometric Society siblings. Positions the paper; it does not write a standalone literature survey.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qe-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.