tooluniverse-variant-analysis

Installation
SKILL.md

Variant Analysis and Annotation

RULE ZERO — Check for pre-computed results FIRST

Before following any instruction below, scan the data folder for:

  • *_executed.ipynb → read with tu run read_executed_notebook '{"data_folder":"<path>","search":"<keyword>"}' and cite its cell outputs as the authoritative answer
  • Pre-computed result files (CSV/TSV with names like *results*, *deseq*, *enrich*, *stats*, *_simplified.csv) → read directly and report the requested value
  • Canonical analysis scripts (analysis.R, run_*.py, find_*.R, *.Rmd) → execute as-is and read the output

Only follow this skill's re-analysis recipe below if none of the above exist. Re-running from raw data produces different numbers than the published answer and is much slower (often 5-10× turn count).


PRIMARY SCRIPTS — use these FIRST

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Feb 19, 2026
tooluniverse-variant-analysis — mims-harvard/tooluniverse