技能创建器
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创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
pipeline-components【数据与研究】Assemble and debug spaCy pipeline components, factories, registry wiring, and pipe analysis.
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Validated against spaCy 3.8.15 on the installed CPU environment. Optional CUDA, Apple, transformer, and language-extra behavior was not verified here.
Use this sub-skill when the task is about Language.component, Language.factory, nlp.add_pipe, component order, registry lookup, source-vs-factory config wiring, or nlp.analyze_pipes.
Language.factory / Language.component signatures and component metadata.analyze_pipes usage.add_pipe raises, config validation fails, or a source component gets mistaken for a factory.Language.component.Language.factory and default configs.nlp.analyze_pipes() to understand assigns/requires/retokenizes relationships.Doc/Token/Span, matchers/rulers, serialization, and displaCy: documents-and-visualization.init config, debug config, train, evaluate, convert, package, validate: training-and-cli.install-and-inspect.spacy project orchestration: project-workflows.pipeline-assembly-and-analysis.md when order, disable/enable, or source-vs-factory confusion appears.This sub-skill is grounded in the installed Language signatures, built-in factory source, pipeline tests, and public docs for component registration and pipeline processing.