II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--llm-classifier
llm-classifier overview
LLM-based zero-shot and few-shot classification for flexible intent detection
Attributes
displayName
llm-classifier
description
LLM-based zero-shot and few-shot classification for flexible intent detection
libraryPath
library/specializations/ai-agents-conversational/skills/llm-classifier/SKILL.md
specialization
ai-agents-conversational
contentSummary
# LLM Classifier Skill
## Capabilities
- Implement zero-shot classification with LLMs
- Design few-shot classification prompts
- Configure structured output for labels
- Implement confidence scoring
- Design classification taxonomies
- Handle multi-label classification
## Target Proces
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:prompt-instruction-tuning-agents·SkillAreaPrompt and Instruction Tuning for Agents
Incoming edges
None.