spacy-nlp
Industrial-strength NLP with spaCy 3.x for text processing and custom classifier training. Use when: installing spaCy, selecting models (en_core_web_sm/md/lg/trf), tokenization, POS tagging, named entity recognition, dependency parsing, training TextCategorizer models, troubleshooting errors (E050/E941 model errors, E927 version mismatch, memory issues), batch processing with nlp.pipe, or deploying models to production. Includes data preparation scripts, config templates, and FastAPI serving examples.
Plugin spacy-nlp from marketplace spacy-nlp-agentic-skill in SpillwaveSolutions/spacy-nlp-agentic-skill. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
using-spacy-nlpIndustrial-strength NLP with spaCy 3.x for text processing and custom classifier training. Use when "installing spaCy", "selecting model for nlp" (en_core_web_sm/md/lg/trf), "tokenization", "POS tagging", "named entity recognition" (NER), "dependency parsing", "training TextCategorizer models", "tro
Slash commands (7)
/spacy-nlp:analyze-textFull NLP analysis - tokens, POS, dependencies, entities
/spacy-nlp:batch-nlpEfficiently process multiple documents with batch optimization
/spacy-nlp:classify-textClassify text into categories using a trained model
/spacy-nlp:create-taxonomyDesign classification categories and subcategories
/spacy-nlp:extract-entitiesExtract named entities (people, orgs, locations) from text
/spacy-nlp:spacy-setupInstall and configure spaCy with optimal model selection
/spacy-nlp:train-classifierTrain a custom text classification model
Subagents (3)
nlp-workflow-assistantProactively assists with NLP tasks and workflows
performance-optimizerDetects slow NLP patterns and suggests optimizations
spacy-error-fixerDiagnoses and fixes common spaCy errors
Maintain spacy-nlp?
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.