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neerajcodz/ml-stack

v0.2.0MIT

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

ml-stack-data

Inspect local or remote datasets when a user asks about schema, splits, samples, statistics, labels, leakage, privacy, licensing, SFT, DPO, GRPO, or vision annotations; produce a formatter or preprocessor handoff without inventing remote execution.

Read SKILL.md at the source

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