Agent skill

Aejmac Replication Package

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

A skill your agent uses when assembling the data, code, and documentation package for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript to pass the AEA Data and Code Availability…

MITAuto-check passedResearch & Science

Install Aejmac Replication Package

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aejmac-replication-package --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-replication-package .claude/skills/aejmac-replication-package && 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-replication-package
GitHub stars
1.2k
Token cost
~1.3k tokens
SKILL.md length
571 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when assembling the data, code, and documentation package for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript to pass the AEA Data and Code Availability…

  • Assembling the data
  • SKILL.md covers When to trigger, The AEA reproducibility regime…, Building a macro-grade package and Checklist, plus 2 more sections
  • Calls conda
  • Tasks that involve Econometrics and empirical research

What it does

Aejmac Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data, code, and documentation package for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Covers macro specifics (simulation/calibration code, restricted-access data); it does not write the analysis itself.

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 Econometrics and empirical research, Reproducible research and Performance reviews. 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

  • Assembling the data
  • Tasks that involve Econometrics and empirical research
  • Tasks that involve Reproducible research

Example prompts

  • “/aejmac-replication-package”

Requirements

  • Python 3

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

    Shell commands in SKILL.md call:

    • conda

    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 Replication Package loads about 1.3k tokens when it runs. Until then it costs about 98 tokens; SKILL.md has 571 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~98
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). 571 words, ~1,331 tokens.

Download SKILL.mdSave it as .claude/skills/aejmac-replication-package/SKILL.md (or your agent's skills folder).
name
aejmac-replication-package
description
Use when assembling the data, code, and documentation package for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Covers macro specifics (simulation/calibration code, restricted-access data); it does not write the analysis itself.

Replication Package (aejmac-replication-package)

When to trigger

  • A paper is heading toward conditional acceptance and the AEA Data Editor check is next
  • You have simulation/calibration code but have never packaged it for a reviewer to run
  • The data include a restricted/proprietary source (confidential micro data, licensed series)
  • You want to build the package as you go rather than scrambling at acceptance

The AEA reproducibility regime (verified 2026-06; re-confirm on the official AEA pages)

  • Governed by the AEA Data and Code Availability Policy. Conditionally accepted papers undergo a review by the AEA Data Editor (Lars Vilhuber) before publication, including reproducibility checks and verification of the information provided.
  • Deposit in the AEA Data and Code Repository on openICPSR (use is strongly encouraged; other trusted repositories may be allowed with Data Editor approval). Materials are posted with the article.
  • Code scope is broad — and this is the macro-critical point: the policy covers data cleaning and "estimation, simulation, model solution, and visualization" code. For AEJ: Macro, the DSGE/HANK solver, the calibration/estimation routines, and the simulation code must all be in the package, not only the regression scripts.
  • Restricted-access data: exceptions exist for confidential / copyrighted / agreement-restricted data; authors must preserve materials 5+ years, provide reasonable replication assistance, make the code public even when the data cannot be, and disclose data sources. State any such request to the Data Editor.
  • Field experiments must be registered in the AEA RCT Registry.

Building a macro-grade package

Directory & master script
  • A clear tree: /data (raw + analysis), /code, /output (tables + figures), /docs.
  • One master script (run_all) that regenerates every table and figure from raw inputs in order, including the model solution and simulation steps.
  • A README following the AEA template: data sources and access, software + versions, hardware, expected runtime, and a map from each exhibit to the script that makes it.
Macro-specific reproducibility
  • Pin the toolchain: Stata version + ssc/net package versions; R renv.lock; Python requirements.txt/conda env; Julia Project.toml/Manifest.toml; Dynare version for DSGE.
  • Seeds set and reported for every simulation, bootstrap, and randomization step.
  • Long-running computations (global solutions, large HANK simulations, MCMC): provide a way to verify without a supercomputer — ship intermediate/cached outputs and a reduced-scale switch, and document expected full runtime.
  • Numerical accuracy artifacts: include the diagnostics (Euler errors, grid checks) so the Data Editor can confirm the solution, not just rerun it.
Show full SKILL.md (189 more words)Show less
Data documentation
  • For each source: provider, exact extract/vintage, access date, license, and whether it is public or restricted.
  • Real-time vs. revised macro vintages (e.g., ALFRED): document which you used.
  • Restricted data: a clear access path and a public code subset that runs on synthetic/sample data where possible.

Checklist

  • openICPSR (AEA Data and Code Repository) deposit planned; README on the AEA template
  • Master run_all regenerates every exhibit incl. model solution + simulation
  • Simulation, calibration/estimation, and solver code all included (not just regressions)
  • Toolchain pinned (Stata/R/Python/Julia/Dynare versions); seeds set and reported
  • Long-running steps: cached outputs + reduced-scale switch + runtime documented
  • Restricted data: exception request stated; code public; access path documented; 5-year retention noted
  • Every data source documented (provider, vintage, access date, license)
  • Field experiments registered in the AEA RCT Registry

Anti-patterns

  • Packaging only the regression scripts and omitting the DSGE solver / simulation code
  • "Results available on request" instead of a deposited, runnable package
  • Unpinned package versions, so the Data Editor cannot reproduce the numbers
  • Unseeded simulations that do not reproduce
  • A multi-day computation with no reduced-scale path or cached intermediates
  • Discovering a data-license problem at acceptance instead of flagging it early

Output format

【Repository】openICPSR (AEA Data and Code Repository) deposit ready? [Y/N]
【Master script】run_all regenerates all exhibits incl. model+simulation? [Y/N]
【Code scope】solver + calibration/estimation + simulation + cleaning all included? [Y/N]
【Toolchain + seeds】versions pinned; seeds reported? [Y/N]
【Restricted data】exception stated; code public; access path documented? [Y/N / NA]
【Long runs】cached outputs + reduced-scale switch + runtime noted? [Y/N / NA]
【Next step】aejmac-referee-strategy

© 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-replication-package of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Aejmac Replication Package 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 Replication Package compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Aejmac Replication Package this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.3kAutomated safety check: PassMIT
Replication Packagepedrohcgs/claude-code-my-workflow1.6k—~2.8kAutomated safety check: NotesMIT
Audit Reproducibilitypedrohcgs/claude-code-my-workflow1.6k—~6.4kAutomated safety check: NotesMIT
Reproducible Pipelinesbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.3kAutomated safety check: PassCustom licence
Audit Replicationbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~984Automated safety check: NotesCustom licence
Phack Polyglotbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.1kAutomated safety check: PassCustom licence

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Questions about Aejmac Replication Package

What does Aejmac Replication Package do?

A skill your agent uses when assembling the data, code, and documentation package for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript to pass the AEA Data and Code Availability…. Aejmac Replication Package is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when assembling the data, code, and documentation package for an American Economic Journal: Macroeconomics (AEJ: Macro) manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check.

When should I use Aejmac Replication Package?

Aejmac Replication Package fits situations like: assembling the data; tasks that involve Econometrics and empirical research; tasks that involve Reproducible research.

How do I install Aejmac Replication Package in Claude Code?

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

How do I install Aejmac Replication Package in Codex?

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

Can I use Aejmac Replication Package 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-replication-package -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-replication-package, .gemini/skills/aejmac-replication-package, .github/skills/aejmac-replication-package and .opencode/skills/aejmac-replication-package in your project.

What does Aejmac Replication Package need to run?

Going by SKILL.md and its folder, Aejmac Replication Package needs the command-line tools its instructions call (conda). Our summary lists: Python 3.

Does Aejmac Replication Package 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 Replication Package 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 Replication Package use?

Aejmac Replication Package 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 Replication Package use?

About 1.3k tokens (SKILL.md is roughly 5.3k 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 Replication Package?

Skills that share tags, products or a category with Aejmac Replication Package: Replication Package (pedrohcgs/claude-code-my-workflow, 1.6k stars), Audit Reproducibility (pedrohcgs/claude-code-my-workflow, 1.6k stars), Reproducible Pipelines (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Audit Replication (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Aejmac Replication Package?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.