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neerajcodz/ml-stack

v0.2.0MIT

Requirements-driven ML research, experiments, validation, and evidence audit for coding agents.

ml-stack-experiment

Plan or review an isolated ML experiment when a user asks to test a hypothesis, compare runs, tune one variable, reproduce a result, or lock validation; prevent self-promotion and preserve reproducible evidence.

Read SKILL.md at the source

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