Aeja workflow
Skill brycewang-stanford/Awesome-Journal-Skills/AEJ-Applied-Economics-Skills/skills/aeja-workflow
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 Claude Code/Codex 期刊技能包,从选题、识别策略到表格规范与审稿回复全流程,助你快速发论文。
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-workflowAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
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Use when deciding which aeja-* sub-skill to invoke next, or when sequencing manuscript work from topic selection through rebuttal for an American Economic Journal: Applied Economics (AEJ: Applied) submission. Routes — it does not replace — the specialized skills.
SKILL.md
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AEJ: Applied Workflow Router (aeja-workflow)
Overview
This is the router. It tells you which aeja- skill to use at the current stage* of a manuscript aimed at the American Economic Journal: Applied Economics (AEJ: Applied) — the American Economic Association's quarterly journal for empirical applied microeconomics with credible causal identification: labor, development, health, education, public, urban, environmental, and household finance. AEJ: Applied is empirical-first: a clean research design carrying a substantive economic question, with theory used to interpret and structure rather than to lead.
Default assumption: unless the user says otherwise, treat the target as AEJ: Applied. Operational tells that you are at AEJ: Applied and not a sibling: review is single-blind (author identities are visible to referees); submission is via the AEA ScholarOne system with fee tiers by AEA membership and country-income status; JEL codes and a 100-word abstract are required; and the signature stable differentiator is the AEA Data and Code Availability Policy — administered by the AEA Data Editor (Lars Vilhuber), accepted papers deposit data + code to the AEA Data and Code Repository on openICPSR, and the package is checked for reproducibility before publication. On 2026-06-20 the editor page listed Raymond Fisman (Boston University) as Editor, with coeditors Leah Boustan, Marika Cabral, Peter Hull, Xavier Jaravel, and Nicholas Ryan. Check live AEA pages for fees and editors before submission-week advice.
When to trigger
- The user asks "what should I do next?"
- A draft needs its current bottleneck diagnosed
- Work is ping-ponging between identification, framing, writing, and the response letter
- An AEJ: Applied decision letter arrived and the user needs to switch into revision mode
Routing table
| Current symptom | Next skill |
|---|---|
| Unsure the paper fits AEJ: Applied vs AER / AEJ: Policy / a field journal | aeja-topic-selection |
| Contribution vs. the literature is fuzzy or undersold | aeja-literature-positioning |
| Causal design rests on OLS+controls, TWFE on staggered timing, or a weak IV | aeja-identification |
| A model is needed to interpret estimates or structure a mechanism | aeja-theory-model |
| Results not shown robust to specification, sample, inference | aeja-robustness |
| Exhibits are dense; main result not legible in one table/figure | aeja-tables-figures |
| Prose buries the design; abstract/intro do not land | aeja-writing-style |
| Data/code deposit, README, openICPSR prep for the AEA Data Editor | aeja-replication-package |
| Want to anticipate referee objections before submitting | aeja-referee-strategy |
| Ready to submit via the AEA portal; need a preflight | aeja-submission |
| Received an R&R; need a response-letter strategy | aeja-rebuttal |
Default order
aeja-topic-selection— lock the applied-micro question and venue fitaeja-literature-positioning— stake the marginal contributionaeja-identification— make the data-to-causal-estimate mapping credibleaeja-theory-model— add only the theory that interprets/structures the estimateaeja-robustness— show the headline survives specification, sample, inferenceaeja-tables-figures— make the main result legible in one exhibitaeja-writing-style— make the design and estimate land (abstract + intro last)aeja-replication-package— assemble the openICPSR package for the AEA Data Editoraeja-referee-strategy— pre-empt the objections this design invitesaeja-submission— AEA portal preflight (single-blind front matter, JEL, fee)aeja-rebuttal— after the R&R
aeja-writing-styleis a late-stage polish; do not rewrite the intro before identification and robustness settle.
Anti-patterns
- Treating the replication package as an acceptance-time chore — at AEA the Data Editor verifies reproducibility before publication, so build it as you go (
aeja-replication-package) - Polishing exhibits (
aeja-tables-figures) while the identification or headline estimate is still moving - Framing the paper as a policy question (that drifts toward AEJ: Policy) or as broad general-interest (that belongs at AER) instead of method/identification-driven applied micro
Routing by paper archetype
AEJ: Applied spans several applied-micro designs, and the first bottleneck differs by design. Read the archetype, then enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| field experiment / RCT (own data) | pre-registration, balance, attrition, estimand | aeja-identification → aeja-robustness |
| quasi-experiment (DID / event study) | staggered-timing bias, parallel-trends credibility | aeja-identification |
| regression discontinuity | density manipulation, bandwidth, bias-corrected CIs | aeja-identification → aeja-robustness |
| IV / shift-share | first-stage strength, exclusion, exposure design | aeja-identification |
| descriptive / measurement with a clean question | framing the contribution without a causal overclaim | aeja-topic-selection → aeja-literature-positioning |
Worked routing example (illustrative)
A user says: "My event study on a staggered state policy looks fine, but a referee says the two-way fixed-effects estimate is contaminated and the parallel-trends story is thin." That is two AEJ: Applied pushbacks — negative-weighting / contaminating already-treated comparisons under staggered timing and pre-trend credibility — both owned by aeja-identification, with the robustness presentation in aeja-robustness. Route there first; only once the heterogeneity-robust estimate is stable (say it settles at a 3.1pp effect, s.e. 0.9, illustrative) do you return to aeja-tables-figures and aeja-rebuttal to present and defend it.
Minimal decision snippet
if decision_letter_arrived: -> aeja-rebuttal
elif ready_to_submit: -> aeja-submission
elif anticipating_referees: -> aeja-referee-strategy
elif building_replication_package: -> aeja-replication-package
elif intro_or_abstract_weak: -> aeja-writing-style
elif exhibits_dense: -> aeja-tables-figures
elif results_not_robust: -> aeja-robustness
elif needs_model_to_interpret: -> aeja-theory-model
elif identification_shaky: -> aeja-identification
elif contribution_fuzzy: -> aeja-literature-positioning
else: -> aeja-topic-selection
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.