aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without…
Use when assembling the data and code deposit for an American Economic Review: Insights (AER: Insights) short-format manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Builds the package and README; it
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aeri-replication-package --agent claude-codeHow it fires
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Use when assembling the data and code deposit for an American Economic Review: Insights (AER: Insights) short-format manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Builds the package and README; it
name: aeri-replication-package description: Use when assembling the data and code deposit for an American Economic Review: Insights (AER: Insights) short-format manuscript to pass the AEA Data and Code Availability Policy and the AEA Data Editor's pre-publication reproducibility check. Builds the package and README; it does not run the analysis.
AER: Insights enforces the **AEA Data and Code Availability Policy**, administered by the **AEA Data Editor** (Lars Vilhuber). Before publication, authors deposit **data, code, and documentation sufficient to permit replication of every result in the paper and approved appendices** in the **AEA Data and Code Repository (openICPSR)**; the data editor's team **verifies reproducibility before the paper is published**. The short format does **not** shrink this requirement — the Supplemental Appendix results are in scope too. Build the package as you go, not after the conditional accept, because the verification step is a gate to publication.
Because AER: Insights decisions are **conditional accept or reject** with no traditional R&R ([`aeri-referee-strategy`](../aeri-referee-strategy/SKILL.md)), a conditional accept moves quickly to the data-editor stage. There is no long revision phase in which to build the package retroactively. Have the deposit essentially ready **at submission**, so a conditional accept does not stall on reproducibility. The data editor's check is a **gate to publication**, not a formality — non-reproducible code delays or blocks the paper regardless of the editor's decision.
A fictional staggered-DiD paper has five exhibits and a dozen appendix tables. The package contains a `00_master` script that runs `01_clean` → `02_descriptive` → `03_did_modern` → `08_robustness` → `09_tables`, regenerating Figures 1–2 and Tables 1–3 plus every appendix table, with seeds set in the bootstrap step. The README maps "Figure 1 ← code/03_did_modern.do, lines 40–80" and lists Stata 18 with pinned `csdid`/`reghdfe` versions. The restricted payroll extract is described with an application link and the exact code that would run on it. This is what passes the AEA Data Editor on the first pass.
【Master script】regenerates all exhibits + in-text numbers? [Y/N] 【README】sources / file list / versions / exhibit→code map present? [Y/N] 【Data status】public deposit / restricted (statement + access + code)? 【Seeds & versions】set and pinned? [Y/N] 【Appendix in scope】appendix results reproducible? [Y/N] 【Deposit target】AEA Data and Code Repository (openICPSR) 【Next step】aeri-referee-strategy (or aeri-submission if submitting)
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