corenlp-client

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name: corenlp-client description: "Operate Stanza's CoreNLP client, Java server lifecycle, pattern engines, and CoreNLP install helpers." disable-model-invocation: true metadata: disco-role: operating license: NOASSERTION

Use this sub-skill when a task involves Java Stanford CoreNLP through Stanza's Python wrapper.

Covers:

• CoreNLPClient, StartServer, local server startup, external server connections, endpoint, timeout, threads, memory, preload, and classpath handling.
• annotators, CoreNLP properties, output formats, serialized protobuf annotations, update, tokensregex, semgrex, tregex, and scenegraph requests.
• Document/tree pattern helpers: TokensRegex, Semgrex, Tregex, Ssurgeon, Tsurgeon, and the English morphology helper.
• CoreNLP distribution/model-jar helpers: install_corenlp, download_corenlp_models, and resolve_classpath.

Start safely:

• Run python scripts/check_corenlp_client.py --help to inspect the diagnostic helper.
• By default that script checks Python imports, Java discovery, classpath/CORENLP_HOME, and output-property validation without starting a server.
• It only starts a Java CoreNLP server when --start-server is explicitly provided.

Detailed references:

• API reference
• Pattern engines
• Workflows
• Troubleshooting

Boundaries:

• Do not bundle Stanford CoreNLP jars or model jars in this skill.
• Route Stanza neural pipeline/model downloads and ordinary Pipeline resource setup to the pipelines-and-resources sub-skill.
• Route browser, notebook, and UI visualization work to the visualization-and-demos sub-skill.