franklee16/academic-research-skills/jeg-review-process

Claude Code and agent skill by franklee16/academic-research-skills

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Checking that the SKILL.md file is still in the repository.

Use to understand the Journal of Economic Growth editorial process, Springer Nature submission path, editor screening, theory/empirics referee expectations, and decision-stage planning.

Install

npx vskill@latest install franklee16/academic-research-skills/jeg-review-process

SKILL.md

Review Process (jeg-review-process)

When to trigger

  • You want to know how JEG will read a manuscript before submission
  • A submitted paper is in review and you need to interpret likely concerns
  • You need to prepare for a revision after a decision letter

Reviewer lens

JEG is a specialist outlet for economic growth and dynamic macroeconomics. The review question is not "is this economics?" but "does this materially advance how we understand long-run growth, development, and dynamics?"

Reviewers typically evaluate:

  • Fit with growth and dynamic macroeconomics
  • Theory originality, assumptions, and model tractability
  • Empirical identification and data credibility where relevant
  • Calibration discipline and sensitivity where relevant
  • Connection to core growth mechanisms and prior literature
  • Springer submission completeness and declarations

Known process facts

  • Submission runs through the Springer Nature manuscript portal.
  • Editor-in-Chief listed in the source map: Oded Galor.
  • Peer-review model was not confirmed as single- or double-blind; do not assume.
  • No submission/handling fee; optional OA APC applies only if chosen.

Output format

text
[Stage] pre-submit / under review / revision
[Main risk] fit / theory / empirics / calibration / exposition
[Action] ...
[Next step] jeg-submission or jeg-rebuttal

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
221
Repository forks
34
7-day trend score
27

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 2 Oct 2026, a month ago.

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