Agent skill · Code Review & Quality

aerj-review-process

Use to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and decision categories. Sets expectations and informs strategy; it does not contact editors or reviewers.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aerj-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: 5 KB
Bundled scripts: none
Path: American-Educational-Research-Journal-Skills/skills/aerj-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 (aerj-review-process) Knowing how AERJ evaluates a paper shapes how you write and submit it. AERJ uses **masked / double-anonymous review**, screens for fit before sending out for review, and expects a contribution that reaches the integrated field-wide AERJ audience. Verify volatile specifics (timelines, reviewer counts, desk-reject rate) on the official page — they are not published as fixed numbers. ## When to trigger - Setting expectations before or after submission - Anticipating likely reviewer objections to pre-empt in the draft - Understanding why a desk rejection happened, or what an R&R signals - Deciding how to frame the cover letter for integrated AERJ fit ## How AERJ review works (verify current details) 1. **Fit framing.** The manuscript names its dominant education-research lens and why the contribution matters beyond one subfield. 2. **Editorial screening / desk decision.** Editors first assess **fit and quality** — broad significance, framing, methodological soundness, and adherence to scope/standards. Off-fit or clearly under-developed papers may be **desk-rejected** without external review. 3. **Masked external review.** Suitable papers go to mul

What's inside
Steps it walks through
  1. When to trigger
  2. How AERJ review works (verify current details)
  3. What reviewers reward (write toward these)
  4. Anti-patterns
  5. How a manuscript moves through AERJ (decision map)
  6. Worked review vignette (illustrative)
  7. Pre-empting the likely objections
  8. Output format
  9. Supplementary resources
More from Awesome-Journal-Skills
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About this skill
What does the aerj-review-process skill do?

Use to understand how an American Educational Research Journal (AERJ) manuscript will be judged — masked/double-anonymous peer review, desk screening, integrated-journal fit, and decision categories. Sets expectations and informs strategy; it does not contact editors or reviewers.

How do I install it?

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