A skill your agent uses 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…

MITAuto-check passedResearch & Science

Install Aeja Workflow

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-workflow -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aeja-workflow --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-Applied-Economics-Skills/skills/aeja-workflow .claude/skills/aeja-workflow && 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
aeja-workflow
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
742 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses 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…

  • Works in 11 steps: aeja-topic-selection — lock the… → aeja-literature-positioning — stake the… → aeja-identification — make the… → …
  • Deciding which aeja- sub-skill to invoke next
  • SKILL.md covers Overview, When to trigger, Routing table and Default order, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Aeja Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

Its SKILL.md is about 1.7k 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 Econometrics and empirical research. 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

  • Deciding which aeja- sub-skill to invoke next
  • Tasks that involve Econometrics and empirical research

Example prompts

  • “/aeja-workflow”

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. aeja-topic-selection — lock the applied-micro question and venue fit
  2. aeja-literature-positioning — stake the marginal contribution
  3. aeja-identification — make the data-to-causal-estimate mapping credible
  4. aeja-theory-model — add only the theory that interprets/structures the estimate
  5. aeja-robustness — show the headline survives specification, sample, inference
  6. aeja-tables-figures — make the main result legible in one exhibit
  7. aeja-writing-style — make the design and estimate land (abstract + intro last)
  8. aeja-replication-package — assemble the openICPSR package for the AEA Data Editor
  9. aeja-referee-strategy — pre-empt the objections this design invites
  10. aeja-submission — AEA portal preflight (single-blind front matter, JEL, fee)
  11. aeja-rebuttal — after the R&R

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

Aeja Workflow loads about 1.7k tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 742 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 742 words, ~1,743 tokens.

Download SKILL.mdSave it as .claude/skills/aeja-workflow/SKILL.md (or your agent's skills folder).
name
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 symptomNext skill
Unsure the paper fits AEJ: Applied vs AER / AEJ: Policy / a field journalaeja-topic-selection
Contribution vs. the literature is fuzzy or undersoldaeja-literature-positioning
Causal design rests on OLS+controls, TWFE on staggered timing, or a weak IVaeja-identification
A model is needed to interpret estimates or structure a mechanismaeja-theory-model
Results not shown robust to specification, sample, inferenceaeja-robustness
Exhibits are dense; main result not legible in one table/figureaeja-tables-figures
Prose buries the design; abstract/intro do not landaeja-writing-style
Data/code deposit, README, openICPSR prep for the AEA Data Editoraeja-replication-package
Want to anticipate referee objections before submittingaeja-referee-strategy
Ready to submit via the AEA portal; need a preflightaeja-submission
Received an R&R; need a response-letter strategyaeja-rebuttal

Default order

  1. aeja-topic-selection — lock the applied-micro question and venue fit
  2. aeja-literature-positioning — stake the marginal contribution
  3. aeja-identification — make the data-to-causal-estimate mapping credible
  4. aeja-theory-model — add only the theory that interprets/structures the estimate
  5. aeja-robustness — show the headline survives specification, sample, inference
  6. aeja-tables-figures — make the main result legible in one exhibit
  7. aeja-writing-style — make the design and estimate land (abstract + intro last)
  8. aeja-replication-package — assemble the openICPSR package for the AEA Data Editor
  9. aeja-referee-strategy — pre-empt the objections this design invites
  10. aeja-submission — AEA portal preflight (single-blind front matter, JEL, fee)
  11. aeja-rebuttal — after the R&R

aeja-writing-style is a late-stage polish; do not rewrite the intro before identification and robustness settle.

Show full SKILL.md (242 more words)Show less

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.

ArchetypeLikely first bottleneckEnter at
field experiment / RCT (own data)pre-registration, balance, attrition, estimandaeja-identification → aeja-robustness
quasi-experiment (DID / event study)staggered-timing bias, parallel-trends credibilityaeja-identification
regression discontinuitydensity manipulation, bandwidth, bias-corrected CIsaeja-identification → aeja-robustness
IV / shift-sharefirst-stage strength, exclusion, exposure designaeja-identification
descriptive / measurement with a clean questionframing the contribution without a causal overclaimaeja-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

© 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-Applied-Economics-Skills/skills/aeja-workflow of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aeja Workflow 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.

Aeja Workflow compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aeja Workflow this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Statadylantmoore/stata-skill2911 repos~4.2kAutomated safety check: PassCustom licence
Stata C Pluginsdylantmoore/stata-skill2911 repos~5.8kAutomated safety check: PassCustom licence
Example Datasetspymc-labs/CausalPy1.2k—~587Automated safety check: PassApache-2.0
Stata AuditSepineTam/mcp-for-stata264—~1.2kAutomated safety check: PassAGPL-3.0
Stata Skill Contributordylantmoore/stata-skill2911 repos~2.4kAutomated safety check: PassCustom licence

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Questions about Aeja Workflow

What does Aeja Workflow do?

A skill your agent uses 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…. Aeja Workflow is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.

When should I use Aeja Workflow?

Aeja Workflow fits situations like: deciding which aeja- sub-skill to invoke next; tasks that involve Econometrics and empirical research.

How do I install Aeja Workflow in Claude Code?

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

How do I install Aeja Workflow in Codex?

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

Can I use Aeja Workflow 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 aeja-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/aeja-workflow, .gemini/skills/aeja-workflow, .github/skills/aeja-workflow and .opencode/skills/aeja-workflow in your project.

What does Aeja Workflow need to run?

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

Does Aeja Workflow 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 Aeja Workflow 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 Aeja Workflow use?

Aeja Workflow 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 Aeja Workflow use?

About 1.7k tokens (SKILL.md is roughly 7k 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 Aeja Workflow?

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Who maintains Aeja Workflow?

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.