计划执行与检查节点
executing-plans
按既定实施计划完成工作,保持过程检查和反馈。
legacy-factories【效率与协作】Routes legacy scikit-plot factory-injection and deprecated plotters-module requests to safe migration and compatibility guidance.
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Use this sub-skill when the user is maintaining older scikit-plot code that calls classifier_factory, clustering_factory, or imports plotting helpers from the deprecated scikitplot.plotters module.
classifier_factory.clustering_factory.scikitplot.plotters imports to current modules.scripts/legacy_factories_smoke.py.Use direct module functions for new code:
../metrics/SKILL.md.../estimators/SKILL.md.../clustering/SKILL.md.../decomposition/SKILL.md.The factory layer is useful when the user must preserve old bound-method code, but it is deprecated in this snapshot.
classifier_factory must expose fit, score, and predict.predict_proba.clustering_factory must expose fit and fit_predict.scikitplot.plotters, read references/workflows.md.references/troubleshooting.md before changing model code.references/api-reference.md for injected method names and verified contracts.references/workflows.md for classifier, clusterer, and deprecated-module migration patterns.references/troubleshooting.md for missing-method, override, and deprecation failures.scripts/legacy_factories_smoke.py for a tiny Agg-backed compatibility smoke run.