II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--phoenix-arize-setup
phoenix-arize-setup overview
Arize Phoenix observability platform setup for LLM debugging and evaluation
Attributes
displayName
phoenix-arize-setup
description
Arize Phoenix observability platform setup for LLM debugging and evaluation
libraryPath
library/specializations/ai-agents-conversational/skills/phoenix-arize-setup/SKILL.md
specialization
ai-agents-conversational
contentSummary
# Phoenix Arize Setup Skill
## Capabilities
- Set up Phoenix local server
- Configure tracing instrumentation
- Design evaluation experiments
- Implement embedding visualizations
- Set up retrieval analysis
- Create custom evaluations with LLM-as-judge
## Target Processes
- llm-obse
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:agent-debugging-logging·SkillAreaAgent Debugging and Logging
- skill-area:eval-driven-development·SkillAreaEval-Driven LLM Development
Incoming edges
None.