II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--spacy-ner
spacy-ner overview
spaCy NER model training and entity extraction for conversational AI
Attributes
displayName
spacy-ner
description
spaCy NER model training and entity extraction for conversational AI
libraryPath
library/specializations/ai-agents-conversational/skills/spacy-ner/SKILL.md
specialization
ai-agents-conversational
contentSummary
# 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
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow2
- workflow:ml-model-lifecycle·WorkflowML Model Lifecycle
- workflow:feature-development·Workflow
lib_involves_role2
- role:ml-engineer·RoleMachine Learning Engineer
- role:backend-engineer·RoleBackend Engineer
lib_requires_skill_area2
- skill-area:natural-language-processing·SkillAreaNatural Language Processing
- skill-area:feature-engineering·SkillAreaFeature Engineering
Incoming edges
None.