skills.rest
fredmilhome
fredmilhomeCOMMUNITY
Explore all skills by this author →
GitHub

replication-package

Create DCAS-compliant data and code replication packages for academic submissions.

Updated Jun 27, 2026
Search Tags:#replication#data availability#code repository#research transparency#dcas compliance
One-click install
npx skills add https://github.com/fredmilhome/laffer_tobacco --skill replication-package-fredmilhome
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: replication-package
Source: https://github.com/fredmilhome/laffer_tobacco/tree/main/.claude/skills/replication-package
Command: npx skills add https://github.com/fredmilhome/laffer_tobacco --skill replication-package-fredmilhome

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

The skill simplifies the process of assembling submission-ready replication packages according to strict academic standards like the AEA Data and Code Availability Standard (DCAS).

Core Features & Use Cases

  • DCAS Compliance: Ensures replication packages meet the AEA Data and Code Availability Standard.
  • Reproducibility Audit: Validates the integrity of the analysis and data.
  • Confidential Data Handling: Manages the inclusion of sensitive data with proper de-identification practices.

Quick Start

Generate a replication package by running the 'build-the-replication-package' skill with your manuscript path and desired outputs directory.

Frequently Asked Questions about replication-package

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prepare a DCAS-compliant replication package for an academic journal submission?▼

An AEA replication package requires organizing datasets, scripts, and references into a structured format that passes a reproducibility audit. This ensures your analysis integrity and data handling protocols meet the strict academic Data and Code Availability Standard for journal submission.

How does a reproducibility audit work for research code and data repositories?▼

A reproducibility audit validates the integrity of your analysis and data repository by verifying that the included scripts and datasets can reliably reproduce the manuscript's stated results without errors before academic journal submission.

Can I include confidential or sensitive data in a data availability replication package?▼

Yes, you can include confidential data in a replication package by applying proper de-identification practices and following specific data handling protocols to manage sensitive information while maintaining compliance with data privacy regulations.

Do I need R, Python, or Stata environment setup to create a code repository for research transparency?▼

Yes, creating a replication package requires R, Python, or Stata environment setup. The packaging process assumes you are prepared to use AEA standard tools and protocols to validate your code repository's reproducibility before academic submission.

What is the best way to package scripts and references for an AEA standard submission?▼

The best way to package scripts and references is to use automated packaging tools that organize your assets and validate them against AEA standard protocols, ensuring your code repository is properly structured for seamless reproducibility and journal submission.

Related Skills

Explore More Education & Research Skills→
AndreaMentastiAndreaMentasti
1

translate-code

Translate analysis scripts between Python, Stata, and R while preserving logic and output.

Community
Advanced
HaipingXuHaipingXu
21

replication-package

Automate preparation of publication-ready replication packages for academic journals.

Community
Advanced
maziyarpanahimaziyarpanahi
5.0k

auditing-deidentification-runs

Generate signed, PHI-free audit reports for OpenMed de-identification runs.

Community
Advanced
aws-samplesaws-samples
84

add-example

Integrate contributor use-case files into the Examples feature with standardized metadata.

Official
Advanced