II.
LibrarySkill overview
Reference · livelib-skill:shared--self-optimization
self-optimization overview
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
Attributes
displayName
self-optimization
description
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
libraryPath
library/methodologies/ruflo/skills/self-optimization/SKILL.md
contentSummary
- Improving routing and agent selection over time
- Adapting to new project patterns without forgetting old ones
- Building cross-session intelligence
## SONA Cycle
1. **Extract Patterns** - Mine execution data for recurring patterns
2. **RETRIEVE** - Search ReasoningBank for matching traje
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_covers_topic1
- topic:developer-experience·TopicDeveloper Experience (DX)
lib_implements_workflow1
- workflow:feature-development·Workflow
lib_involves_role2
- role:tech-lead·RoleTech Lead
- role:backend-engineer·RoleBackend Engineer
lib_requires_skill_area2
- skill-area:agentic-loops·SkillAreaAgentic Loops
- skill-area:orchestration-loop·SkillAreaOrchestration Loop Engineering
Incoming edges
None.