vectorspacelab/arex-skill/pipeline-components

pipeline-components

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.

Read first

• references/component-factories-and-registry.md for verified Language.factory / Language.component signatures and component metadata.
• references/pipeline-assembly-and-analysis.md for pipe ordering, enable/disable/select behavior, and analyze_pipes usage.
• references/built-in-components.md for the built-in component catalog and what each one roughly does.
• references/troubleshooting.md when add_pipe raises, config validation fails, or a source component gets mistaken for a factory.
• scripts/inspect_factories.py for a safe registry and analysis smoke check.

What this sub-skill covers

• Registering stateless components with Language.component.
• Registering stateful factories with Language.factory and default configs.
• Adding components by name, reordering them, and loading components from source pipelines.
• Reading and interpreting built-in factory metadata.
• Using nlp.analyze_pipes() to understand assigns/requires/retokenizes relationships.

What to route elsewhere

• Tokenization, Doc/Token/Span, matchers/rulers, serialization, and displaCy: documents-and-visualization.
• init config, debug config, train, evaluate, convert, package, validate: training-and-cli.
• Install/import or backend concerns: install-and-inspect.
• spacy project orchestration: project-workflows.

Fast use pattern

1. Check the exact component signature in the reference.
2. Decide whether the user needs a stateless component or a stateful factory.
3. Use the bundled registry inspection script to confirm the named component exists.
4. Read pipeline-assembly-and-analysis.md when order, disable/enable, or source-vs-factory confusion appears.

Evidence basis

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.