research-ml-practice
Literature and web research for an ML methodology concern (EDA extra measurements, leakage, transforms, feature engineering, learner family), or an EDA extra-analysis survey from JOURNAL plus existing EDA. Trigger when explore-ml-data or build-ml-pipeline load this skill. Not for routine profiling or a single API signature — use `api get` for symbols. Not a session owner — callers distill and write project files. HOW TO USE: skip intake fields the caller already supplied. Abstract the problem class before searching (never the dataset proper name). Survey extra analyses or depth a named concern; search distinct angles, fetch primary sources, follow up if thin, write `scratch/research/`. Return the path plus one or two sentences. Never mutate raw data, pick the final learner, or write `data_analysis.md` / the design note. Chat stays path + those sentences even when a harness asks for a complete answer in the message.