spacy-ner
spaCy NER model training and entity extraction for conversational AI
npx skills add a5c-ai/babysitter --skill spacy-ner --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# spaCy NER Skill ## Capabilities - Train custom spaCy NER models - Configure entity extraction pipelines - Design annotation schemas - Implement entity linking - Set up model evaluation - Deploy efficient NER inference ## Target Processes - entity-extraction-slot-filling - chatbot-design-implementation ## Implementation Details ### spaCy Components 1. **NER**: Named Entity Recognition 2. **EntityLinker**: Link to knowledge bases 3. **EntityRuler**: Rule-based matching 4. **SpanCategorizer**: Overlapping entities ### Training Configuration - config.cfg setup - Training data format (spaCy v3) - Augmentation strategies - Evaluation metrics ### Configuration Options - Base model selection (en_core_web_*) - Custom entity types - Training parameters - GPU acceleration - Model packaging ### Best Practices - Quality annotation data - Balance entity types - Use prodigy for annotation - Regular model evaluation ### Dependencies - spacy - spacy-transformers (optional)
- Capabilities
- Target Processes
- Implementation Details
- spaCy Components
- Training Configuration
- Configuration Options
- Best Practices
- Dependencies
What does the spacy-ner skill do?
spaCy NER model training and entity extraction for conversational AI
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill spacy-ner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.