II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--few-shot-example-gen
few-shot-example-gen overview
Few-shot example generation and optimization for improved LLM performance
Attributes
displayName
few-shot-example-gen
description
Few-shot example generation and optimization for improved LLM performance
libraryPath
library/specializations/ai-agents-conversational/skills/few-shot-example-gen/SKILL.md
specialization
ai-agents-conversational
contentSummary
# Few-Shot Example Generation Skill
## Capabilities
- Generate diverse few-shot examples
- Implement example selection strategies
- Optimize example ordering for performance
- Create dynamic example retrieval
- Design example formats for specific tasks
- Implement example quality validati
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:prompt-engineering·SkillAreaPrompt Engineering
- skill-area:prompt-instruction-tuning-agents·SkillAreaPrompt and Instruction Tuning for Agents
Incoming edges
None.