Agent Skills: datalad

Retrieve, version, and publish scientific datasets with DataLad and git-annex, and capture computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.

UncategorizedID: k-dense-ai/claude-scientific-skills/datalad

Install this agent skill to your local

pnpm dlx add-skill https://github.com/k-dense-ai/claude-scientific-skills/datalad

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