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samuhs/mad-science

v0.1.0

Hypothesis-driven data science skills: sharpen a hypothesis, write the experiment contract, slice it into a pipeline, implement it expectation-first in notebooks, review it, and turn results into an article.

experiment-pipeline

Break an experiment doc into small vertical slices (stages, phases, experiments) with goals, metrics, status and dependencies, tracked in docs/experiments-pipeline. Use when the experiment contract is settled and the user wants a run plan, wants to know which experiments can run in parallel, or wants to update experiment status.

Read SKILL.md at the source

Pinned to revision 6754a6b08bf9, so it is the text this page describes rather than whatever the author pushed since.

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