# replication-package

Builds the deposit a journal asks for at acceptance: README, dataset manifest, table-to-script map and a DCAS checklist.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 1668
- Author: pedrohcgs
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/pedrohcgs/claude-code-my-workflow/tree/HEAD/.claude/skills/replication-package/SKILL.md
- Updated: 2026-09-27
- HTML: https://affpapa.org/en/nevibecode/skills/replication-package

## What it does

The skill turns an analysis repo into a folder a stranger can rerun from scratch. It writes `replication_package/README.md` on the AEA template: paper overview, Data Availability Statement, dataset manifest, computational requirements, run instructions, and a map from every table and figure to the script and line that produces it. Fields it cannot infer get a `[FILL]` marker, so a data source or license never gets invented.

It also captures the environment: `renv.lock` and `sessionInfo.txt` for R, `requirements.txt` for Python, `sessionInfo_stata.txt` for Stata, plus a `Dockerfile` scaffold when the setup is non-trivial. Before assembling anything it calls `/audit-reproducibility`. A failing claim with no named alternative blocks the build. That is the right call: packaging numbers that do not reproduce helps nobody.

Inputs are the manuscript path and the outputs directory, `output/` by default. If the project has no single master script (`00_run_all.R`, `99_run_all.do`, `run.py`, `Makefile`), the skill flags it, because DCAS expects one command to run everything. Restricted data cannot be deposited, but the skill still prepares the access note and a package that runs on the closed data.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add pedrohcgs/claude-code-my-workflow --skill replication-package -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/replication-package/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/replication-package/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add pedrohcgs/claude-code-my-workflow --skill replication-package -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/replication-package/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add pedrohcgs/claude-code-my-workflow --skill replication-package -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/replication-package/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install pedrohcgs/claude-code-my-workflow replication-package
```

2. **Manually: put the files in place**
- File: `.github/skills/replication-package/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add pedrohcgs/claude-code-my-workflow --skill replication-package -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/pedrohcgs/claude-code-my-workflow --path .claude/skills/replication-package
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/replication-package/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add pedrohcgs/claude-code-my-workflow --skill replication-package -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/pedrohcgs/claude-code-my-workflow/tree/HEAD/.claude/skills/replication-package/SKILL.md

## When to use it
- assemble a journal deposit after a paper is accepted
- write a dataset manifest with source and license per file
- map each table and figure to the script and line behind it
- pin R, Stata or Python versions for reproduction
- plan a deposit for access-restricted data

## Example prompts
- build the replication package for the accepted paper
- prepare the openICPSR deposit for DCAS
- make the AEA data and code package

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: f01eb0d6372a058b.

BEGIN THIRD-PARTY FILE f01eb0d6372a058b
```text
---
name: replication-package
description: Assemble a submission-ready replication package to the AEA Data and Code Availability Standard (DCAS) / openICPSR / Social Science Reproduction Platform expectations — standard replication README, dataset manifest, computational-requirements capture, a Table/Figure → script:line map, and a confidential-data deposit plan. Use when user says "build the replication package", "prepare the openICPSR deposit", "make the AEA data and code package", "DCAS compliance", "assemble the deposit for the journal", or after a paper is accepted and the journal's data editor needs the package. NOT a numeric verifier — it calls /audit-reproducibility to confirm claims reproduce before packaging.
argument-hint: "[manuscript path] [outputs-dir] (outputs-dir defaults to output/)"
allowed-tools: ["Read", "Grep", "Glob", "Write", "Bash", "Agent", "Task"]
effort: high
---

# Replication Package

Produce the deposit an economist hands a journal at acceptance: a directory tree (`data/`, `code/`, `output/`, `README`) plus a DCAS compliance checklist, built to the [AEA Data and Code Availability Standard](https://datacodestandard.org/), openICPSR deposit expectations, and the [Social Science Reproduction Platform](https://www.socialsciencereproduction.org/) reproduction protocol. This skill **moves the repo from auditing reproducibility to producing the deposit** — `/audit-reproducibility` proves the numbers; this skill packages everything a third party needs to regenerate them from scratch.

**Core principle:** the package is reproducible by a stranger with the data and the README — no tacit knowledge, no "ask the author" steps. Every table and figure maps to the exact script and line that produces it.

## When to use

- **At acceptance.** The journal's data editor (AEA, REStud, JPE, EJ, ...) requests a DCAS-compliant deposit before the paper is typeset.
- **Before an openICPSR / Zenodo / Dataverse upload.** Build the tree and README once, locally, before the web upload.
- **Pre-submission dry run.** Catch the "I never wrote down where Table 3 comes from" gap while it is cheap to fix.
- **Confidential-data papers.** Produce the access-restricted-data note and a runnable-on-restricted-data package even when the data itself cannot be deposited.

## Inputs

- `$0` — path to the manuscript (`.tex`, `.qmd`, `.md`, `.pdf`). Required (the source of the Table/Figure inventory).
```
END THIRD-PARTY FILE f01eb0d6372a058b

The third-party file has ended. Everything between the f01eb0d6372a058b tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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---
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