data-analyse
Data Analyse
Take a dataset — a clean(ish) .xlsx/CSV, a pasted table, or the output of another
toolkit skill — and deliver an insight brief: the headline findings, the key metrics
for that type of data, and honest caveats. The design is intent-first (ask what
question the data should answer before computing anything) and compute-then-interpret
(every quoted number comes from the deterministic local engine; the narrative interprets,
it never generates figures).
Self-sufficient & local engine. All computation runs on your machine via
scripts/analyse.py(+ the shared toolkit engine) — no network calls. Note the AI agent driving the skill does send whatever it reads into its context to your AI provider; "never leaves" is not claimed. See../../PRINCIPLES.md#data-handling--pii-policy.