II.
LibraryAgent overview
Reference · livelib-agent:shared--optimizer
optimizer overview
Performance tuning and token optimization worker agent. Analyzes execution efficiency, reduces costs, and improves throughput.
Attributes
displayName
optimizer
description
Performance tuning and token optimization worker agent. Analyzes execution efficiency, reduces costs, and improves throughput.
libraryPath
library/methodologies/ruflo/agents/optimizer/AGENT.md
role
Optimizer
expertise
- Performance profiling and bottleneck detection
- Token usage optimization
- Cost reduction strategies
- Cache effectiveness analysis
- Resource utilization improvement
- Routing efficiency optimization
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_covers_topic1
- topic:developer-experience·TopicDeveloper Experience (DX)
lib_implements_workflow1
- workflow:feature-development·Workflow
lib_involves_role3
- role:backend-engineer·RoleBackend Engineer
- role:platform-engineer·Role
- role:tech-lead·RoleTech Lead
lib_requires_skill_area3
- skill-area:agentic-loops·SkillAreaAgentic Loops
- skill-area:prompt-engineering·SkillAreaPrompt Engineering
- skill-area:multi-agent-coordination·SkillAreaMulti-Agent Coordination
Incoming edges
uses_agent2
- lib-process:operations--production-scheduling·LibraryProcessproduction-scheduling
- lib-process:industrial-engineering--design-of-experiments·LibraryProcessdesign-of-experiments