aeja-workflow
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.
Install / Use
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-workflowInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
AutomationSupported Platforms
Tags
Our assessment of aeja-workflow
aeja-workflow scores 88/100 on our quality scale, 1362nd of 2,881 Automation skills we index (top 48%).
Its SKILL.md is 6.8 KB long, well organised into 9 sections with 1 code example: a thorough specification that gives an agent plenty to work with.
With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 18 days ago, so aeja-workflow is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
aeja-workflow compared with similar skills
All 4 of these similar skills score higher than aeja-workflow; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| aeja-workflow (this skill)by brycewang-stanford | 88 | 1.2k | 18d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 89.0k | 17d ago | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.3k | 2d ago | MCP Server |
| rufloby ruvnet | 100 | 73.8k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 10d ago | SKILL.md |
Frequently asked questions
- How do I install aeja-workflow?
- Run
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-workflow. The install tabs above show the steps for each supported agent. - Which AI agents does aeja-workflow work with?
- It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is aeja-workflow safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is aeja-workflow still maintained?
- The repository was last updated 18 days ago, so aeja-workflow is actively maintained.
Skill content
View source on GitHubname: aeja-workflow description: 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.
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
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
