datalad-export

Export DataLad datasets to local TAR/ZIP archives or Figshare publications.

1|Updated Feb 25, 2026

Search Tags:#publishing #archive #export #dataset #datalad #figshare

Ready to run

npx skills add https://github.com/bcmcpher/my-skills --skill datalad-export

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: datalad-export
Source: https://github.com/bcmcpher/my-skills/tree/main/plugins/datalad-cli/skills/datalad-export
Command: npx skills add https://github.com/bcmcpher/my-skills --skill datalad-export

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This command automates exporting DataLad datasets to shareable archives or open publications, reducing manual steps for backup and distribution.

Core Features & Use Cases

Easy local archiving: create TAR or ZIP archives of complete datasets with optional content checks.
Figshare publishing: upload and publish datasets to Figshare with minimal setup.
Use Case: share a reproducible dataset with collaborators by exporting a versioned archive or publishing to Figshare.

Quick Start

Invoke the datalad-export skill on a dataset to generate a TAR/ZIP archive or publish to Figshare.

Frequently Asked Questions about datalad-export

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

FAQPage Schema

How do I export a DataLad dataset to a local archive?▼

Export a DataLad dataset to a local TAR or ZIP archive by invoking the export skill, which automates bundling the complete dataset with optional content readiness checks for backup and sharing.

Can I publish DataLad datasets directly to Figshare?▼

Yes, you can publish DataLad datasets to Figshare by using the export skill, which handles uploading, authentication setup, and open distribution of versioned datasets with minimal manual configuration.

Do I need a DataLad environment to create shareable archives?▼

Yes, exporting datasets requires a DataLad context to ensure versioning integrity. The skill operates within this environment to package datasets into archives or publish them to Figshare for collaborators.

What is the best way to share a reproducible dataset with collaborators?▼

The best way to share a reproducible dataset is exporting it via DataLad into a versioned TAR or ZIP archive, or publishing it to Figshare for open distribution and backup redundancy.

Does the DataLad export handle authentication for Figshare uploads?▼

Yes, the DataLad export skill handles authentication for Figshare uploads, managing the credentials and connection setup required to publish datasets directly to the platform for open distribution.