Agent skill · Code Review & Quality

orgstud-review-process

Use when calibrating expectations for the Organization Studies (OS) review cycle — desk-screen odds, the developmental double-anonymized process, decision types, and how to read what reviewers and the handling editor are signalling. Sets expectations and reading strategy; it does not draft the response (see orgstud-rebuttal).

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill orgstud-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: 6 KB
Bundled scripts: none
Path: Organization-Studies-Skills/skills/orgstud-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 (orgstud-review-process) ## When to trigger - You want to calibrate desk-reject odds and timeline before or after submitting - A decision letter arrived and you need to read what the editor is *actually* signalling - You are unsure whether an R&R is "major-but-encouraging" or "high-risk reject-with-resubmission" - You are deciding whether to revise for OS or reposition to a sibling journal ## How OS review works (and how it differs) OS runs a **double-anonymized**, **developmental** review handled by a co-editor with (typically) 2–3 reviewers drawn from the relevant conversation. The European, theory-first culture shapes what reviewers do: they engage your **theoretical contribution and your use of social theory** as the primary axis — not just method execution. Reviewers here often *co-develop* the theory across rounds, which is why OS R&Rs can be intellectually demanding and multi-round, but also why a serious R&R is a genuine signal of interest. Expect reviewers who know the canonical works in your conversation intimately. **Desk-screen** is real and theory-driven. The most common desk-rejects are not method failures but **"interesting phenomenon, no theoretical

What's inside
Steps it walks through
  1. When to trigger
  2. How OS review works (and how it differs)
  3. Reading the decision
  4. Reading the reviewers and editor
  5. Deciding to revise vs. reposition
  6. Checklist
  7. Anti-patterns
  8. Worked vignette: reading an ambiguous letter (illustrative)
  9. Output format
More from Awesome-Journal-Skills
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About this skill
What does the orgstud-review-process skill do?

Use when calibrating expectations for the Organization Studies (OS) review cycle — desk-screen odds, the developmental double-anonymized process, decision types, and how to read what reviewers and the handling editor are signalling. Sets expectations and reading strategy; it does not draft the response (see orgstud-rebuttal).

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill orgstud-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.

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