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neerajcodz/ml-stack

v0.2.0MIT

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

ml-stack-deployment

Prepare an ML artifact for serving when a user asks to deploy, publish, expose an endpoint, launch a Space or local service, configure auth, scale, smoke-test, or roll back; separate release approval from training and evaluation.

Read SKILL.md at the source

Pinned to revision 6829bde67fb6, so it is the text this page describes rather than whatever the author pushed since.

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