Agent skill · Code Review & Quality

jmis-review-process

Use when calibrating expectations for the Journal of Management Information Systems (JMIS) editorial process — the EIC-led, email-intake, double-anonymized review by Associate Editors and expert referees, likely decision types, and timing. Sets expectations and revision posture; it does not draft the response letter (jmis-rebuttal).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmis-review-process --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 8 KB
Bundled scripts: none
Path: Journal-of-Management-Information-Systems-Skills/skills/jmis-review-process/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Review Process (jmis-review-process) ## When to trigger - Before submitting, to understand who decides and how long it takes at JMIS - A decision letter arrived and you need to read its severity correctly before responding - You are weighing JMIS against MISQ/ISR/JAIS on process and turnaround - You want to know what a desk-reject vs. a review-and-reject signals ## How JMIS review actually runs JMIS is an **Editor-in-Chief-led** journal: founding and current EIC **Vladimir Zwass** receives submissions directly by email and steers the process. Papers are **refereed in a double-anonymized process** by internationally recognized expert referees and by **Associate Editors** on the Editorial Board. Practically, this means: - **The EIC is the first gate.** A paper that is out of scope (not an IS-management/economics question), over length, or not anonymized can be returned or desk-rejected before external review. Fit is judged against JMIS's management/economics-of-IS identity, not generic IS breadth. - **AEs and referees carry the substantive review.** Expect method-literate referees who will press on identification (empirical), assumptions and insight (analytical), measurement and CM

What's inside
Steps it walks through
  1. When to trigger
  2. How JMIS review actually runs
  3. Read the decision letter for what it is asking
  4. What the EIC-led model means for you, concretely
  5. Match the review style to your evidence type
  6. Calibrate timing and expectations
  7. Checklist
  8. Anti-patterns
  9. Decide whether to revise or reroute
  10. Set author expectations before the wait
  11. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the jmis-review-process skill do?

Use when calibrating expectations for the Journal of Management Information Systems (JMIS) editorial process — the EIC-led, email-intake, double-anonymized review by Associate Editors and expert referees, likely decision types, and timing. Sets expectations and revision posture; it does not draft the response letter (jmis-rebuttal).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jmis-review-process --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.

Keep going