Agent skill

Aejmac Referee Strategy

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

A skill your agent uses when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and…

MITAuto-check passedResearch & Science

Install Aejmac Referee Strategy

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-referee-strategy -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-referee-strategy --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/AEJ-Macroeconomics-Skills/skills/aejmac-referee-strategy .claude/skills/aejmac-referee-strategy && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
aejmac-referee-strategy
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
554 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and…

  • Anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript
  • SKILL.md covers When to trigger, How AEJ: Macro review works…, The predictable macro… and Calibrating the odds, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Calibrating desk-reject and revision odds

What it does

Aejmac Referee Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and revision odds, before submission. Pre-empts pushback and plans the review; it does not draft the post-decision response letter (use aejmac-rebuttal).

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Research & Science, covering Peer review. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

When your agent uses it

  • Anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript
  • Calibrating desk-reject and revision odds
  • Before submission

Example prompts

  • “/aejmac-referee-strategy”

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Aejmac Referee Strategy loads about 1.3k tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~87
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 554 words, ~1,262 tokens.

Download SKILL.mdSave it as .claude/skills/aejmac-referee-strategy/SKILL.md (or your agent's skills folder).
name
aejmac-referee-strategy
description
Use when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and revision odds, before submission. Pre-empts pushback and plans the review; it does not draft the post-decision response letter (use aejmac-rebuttal).

Referee Strategy (aejmac-referee-strategy)

When to trigger

  • The draft is near-complete and you want to find the holes a referee will exploit
  • You are gauging desk-reject risk or whether the paper is "ready"
  • You need to decide which robustness checks to run before submitting vs. hold in reserve
  • You want to pre-empt the predictable macro objections in the paper itself

How AEJ: Macro review works (verified 2026-06; re-confirm on the official AEA pages)

  • Managed by the Editor (Ayşegül Şahin, 检索于 2026-06;以官网为准) and coeditors; single-blind external peer review (the author is known to the referee; referees are anonymous to the author). Note this is single-blind, unlike some AEJs/economics venues that anonymize the author.
  • Desk rejection is possible without referees; editorial decisions weigh the probability of meeting AEJ: Macro standards, breadth of topic, and interest to the AEJ: Macro audience.
  • After conditional acceptance, the AEA Data Editor runs the reproducibility check before publication (see aejmac-replication-package).

The predictable macro objections (pre-empt each in the paper)

Objection a macro referee raisesWhere it landsPre-emption
"The identifying assumption is not defended" (Cholesky ordering, sign set, exclusion)identificationArgue the assumption economically; show robustness to alternatives (aejmac-identification)
"The shock is anticipated / endogenous"identificationShow unpredictability from macro history; use narrative/high-frequency instruments
"This is a Great-Moderation / pre-ZLB artifact"robustnessSample splits across the breaks, baseline shown alongside (aejmac-robustness)
"Calibration is undisciplined / free parameters"theory-modelSource every parameter; targeted + untargeted moments; sensitivity
"The counterfactual ignores the Lucas critique"theory-modelArgue policy-invariance of estimated parameters
"SVAR and LP would disagree"robustnessRun the cross-method check and show agreement
"Set-identified results reported as a point"identification / tablesReport the identified set / median-target with a band
"Not broad enough for AEJ: Macro"topic / positioningRe-frame for general interest; name the audience (aejmac-topic-selection)
"Results not reproducible"replicationBuild the openICPSR package early, incl. simulation code
Show full SKILL.md (251 more words)Show less

Calibrating the odds

  • Desk-reject risk is high when: breadth is thin (a field-specialist paper), the contribution sentence is missing, or the headline quantity is buried. Fix with aejmac-topic-selection / aejmac-literature-positioning / aejmac-writing-style before submitting.
  • R&R is likely when the question is broad and the result credible but the robustness/identification defense is incomplete — referees will ask for the checks. Pre-running the obvious ones shortens the cycle.
  • Hold-in-reserve strategy: run the decisive robustness checks before submission; keep a second tier ready to deploy in the response letter rather than front-loading every table.

Suggesting referees & framing the cover

  • Suggest referees who span the theory and empirical sides if the paper is a hybrid, so neither side is judged only by the other camp.
  • The cover letter / framing should state the broad-interest claim and the headline quantity plainly — give the editor the breadth argument they need to send it out.

Checklist

  • Each predictable macro objection above has a one-paragraph + one-exhibit answer in the paper
  • Desk-reject risk assessed (breadth, contribution sentence, headline visibility)
  • Decisive robustness/identification checks run before submission
  • Second-tier checks identified to hold in reserve for the response
  • Referee suggestions span the relevant theory/empirical communities
  • Single-blind reviewed: nothing in the paper assumes anonymity of the author

Anti-patterns

  • Submitting before the obvious adversarial robustness check is run
  • Assuming double-blind anonymity (AEJ: Macro is single-blind)
  • A paper a desk editor cannot pitch as broad-interest in one sentence
  • Front-loading every conceivable robustness table, leaving nothing for the response
  • Suggesting only referees from one camp for a hybrid paper

Output format

【Top 3 objections this paper invites】1) ... 2) ... 3) ...
【Pre-emption status】answered-in-paper / needs-work for each
【Desk-reject risk】low / medium / high + why
【Run-now vs. reserve checks】...
【Referee suggestions span】theory + empirical? [Y/N]
【Next step】aejmac-submission

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in AEJ-Macroeconomics-Skills/skills/aejmac-referee-strategy of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aejmac Referee Strategy next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Aejmac Referee Strategy compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aejmac Referee Strategy this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT
Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence
Academic Paper ReviewerImbad0202/academic-research-skills51k—~11kAutomated safety check: PassCustom licence
Peer ReviewK-Dense-AI/claude-scientific-writer2.4k2 repos~3.1kAutomated safety check: NotesMIT

Similar skills

  • Peer Review

    spacering-net/codeg

    Structured manuscript/grant review with checklist-based evaluation.

    3.9k GitHub starsUsed in 17 repos~5.9k tokens
    Research & ScienceAuto-check: notes
  • Scholar Evaluation

    spacering-net/codeg

    Systematically evaluate scholarly work using the ScholarEval framework, providing structured assessment across research quality dimensions including problem formulation, methodology, analysis, and…

    3.9k GitHub starsUsed in 11 repos~3.2k tokens
    Research & ScienceAuto-check passed
  • Academic Paper Writing Pipeline

    Imbad0202/academic-research-skills

    Runs a 12-agent pipeline that plans, drafts, cites, reviews and formats academic papers, with modes for revision, rebuttals, abstracts and citation checks.

    51k GitHub stars~16k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Academic Paper Reviewer

    Imbad0202/academic-research-skills

    Simulates a journal peer review of a manuscript with a five-seat reviewer panel, an editorial synthesizer and several review modes.

    51k GitHub stars~11k tokensUpdated yesterday
    Research & ScienceAuto-check passed
  • Peer Review

    K-Dense-AI/claude-scientific-writer

    Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.

    2.4k GitHub starsUsed in 2 repos~3.1k tokens
    Research & ScienceAuto-check: notes
  • Academic Research Pipeline

    Imbad0202/academic-research-skills

    Orchestrates a ten-stage academic workflow from research to finished manuscript, including integrity checks, two rounds of peer review and revision.

    51k GitHub stars~15k tokensUpdated yesterday
    Research & ScienceAuto-check passed

More from brycewang-stanford/Awesome-Journal-Skills

All 2,387 skills in this repo
  • Aaag Data Analysis

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Literature Positioning

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Rebuttal

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…

    1.2k GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Research Design

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…

    1.2k GitHub stars~1.4k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Review Process

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…

    1.2k GitHub stars~1.3k tokensUpdated 12 days ago
    Auto-check passed
  • Aaag Submission

    brycewang-stanford/Awesome-Journal-Skills

    A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…

    1.2k GitHub stars~1.6k tokensUpdated 12 days ago
    Auto-check passed

Questions about Aejmac Referee Strategy

What does Aejmac Referee Strategy do?

A skill your agent uses when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and…. Aejmac Referee Strategy is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript, and calibrating desk-reject and revision odds, before submission.

When should I use Aejmac Referee Strategy?

Aejmac Referee Strategy fits situations like: anticipating the objections referees and coeditors will raise on an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript; calibrating desk-reject and revision odds; before submission.

How do I install Aejmac Referee Strategy in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-referee-strategy -a claude-code`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-referee-strategy in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aejmac-referee-strategy in your project. Claude Code loads it when a task matches its description.

How do I install Aejmac Referee Strategy in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-referee-strategy -a codex`. Or copy the skill folder (AEJ-Macroeconomics-Skills/skills/aejmac-referee-strategy in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aejmac-referee-strategy in your project. Codex loads it when a task matches its description.

Can I use Aejmac Referee Strategy in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejmac-referee-strategy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aejmac-referee-strategy, .gemini/skills/aejmac-referee-strategy, .github/skills/aejmac-referee-strategy and .opencode/skills/aejmac-referee-strategy in your project.

What does Aejmac Referee Strategy need to run?

SKILL.md names no scripts, command-line tools or credentials: Aejmac Referee Strategy is instructions for the agent only.

Does Aejmac Referee Strategy access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Aejmac Referee Strategy safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Aejmac Referee Strategy use?

Aejmac Referee Strategy is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Aejmac Referee Strategy use?

About 1.3k tokens (SKILL.md is roughly 5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Aejmac Referee Strategy?

Skills that share tags, products or a category with Aejmac Referee Strategy: Peer Review (spacering-net/codeg, 3.9k stars), Scholar Evaluation (spacering-net/codeg, 3.9k stars), Academic Paper Writing Pipeline (Imbad0202/academic-research-skills, 51k stars) and Academic Paper Reviewer (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aejmac Referee Strategy?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.