jeg-rebuttal
Use when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration sensitivity, data availability, and Springer revision files.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal --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.
# R&R Rebuttal (jeg-rebuttal) ## When to trigger - A JEG revision decision has arrived - Referees request stronger growth framing, theory, empirics, or calibration - You need a response letter and aligned manuscript changes ## Triage 1. **Fit and contribution**: growth mechanism not clear enough. 2. **Theory**: assumptions, equilibrium, dynamics, comparative statics, or proofs. 3. **Empirics**: identification, sample, robustness, historical measurement, or external validity. 4. **Calibration/simulation**: parameter sources, targeted moments, sensitivity, transition paths. 5. **Policy and files**: data availability, declarations, source files. ## Response strategy - Lead with the editor's synthesis and the highest-value changes. - Add quantitative sensitivity where a calibration concern is central. - Add comparative estimates where empirical growth literature raises conflicting results. - Narrow claims when model or data scope is local. - Update source files and declarations alongside the manuscript. ## Revision evidence map For each major referee concern, identify the evidence type: - **Mechanism concern** -> new model intuition paragraph, proposition, or transition-path figure. -
- When to trigger
- Triage
- Response strategy
- Revision evidence map
- JEG referee objection playbook
- Worked vignette — answering a spatial-inference objection
- Letter discipline for this venue
- Output format
What does the jeg-rebuttal skill do?
Use when responding after a Journal of Economic Growth revise-and-resubmit to organize responses about growth mechanisms, model assumptions, empirical identification, calibration sensitivity, data availability, and Springer revision files.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jeg-rebuttal --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.