ecj-topic-selection
Use when scoping or framing a research question for a The Economic Journal (EJ) manuscript and you need to test whether it is "EJ-shaped" — a substantial contribution of broad interest to economists at large, full-length or short-paper. Diagnoses fit and frames the contribution; it does not design the empirics.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-topic-selection --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.
# Topic Selection & Fit (ecj-topic-selection) ## When to trigger - You have data or a result but not yet a sharp, broadly interesting economic question - You are unsure whether the paper belongs at EJ, a field journal, or a top-5 - The pitch is "X is correlated with Y" with no mechanism, or a narrow result only specialists would read - You are deciding between a **full-length article** and EJ's **
What does the ecj-topic-selection skill do?
Use when scoping or framing a research question for a The Economic Journal (EJ) manuscript and you need to test whether it is "EJ-shaped" — a substantial contribution of broad interest to economists at large, full-length or short-paper. Diagnoses fit and frames the contribution; it does not design the empirics.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecj-topic-selection --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.