Use BEFORE reading any data file that could be large (CSV/TSV, Parquet, HDF5, FITS, NetCDF, NDJSON, genomics FASTQ/FASTA/VCF/BAM, GRIB, ROOT, or big text/simulation logs like VASP OUTCAR). Returns a compact memory pointer — header/schema/shape/sample/key numbers — by introspection and sampling in bounded memory, so you never load a file bigger than the context window into the model. Reference data via the pointer; read specific ranges deterministically.
How to install large-file?
ai4s-research/open-science/large-file
$npx -y skills add ai4s-research/open-science --skill large-fileInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/ai4s-research/open-science" --skill "ai4s-research/open-science/large-file"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ai4s-research/open-science" that are relevant to the current task. Run `npx skills add "https://github.com/ai4s-research/open-science"` and select the relevant skills, then follow their instructions.
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