II.
LibrarySkill overview
Reference · livelib-skill:ai-agents-conversational--langgraph-routing
langgraph-routing overview
Conditional edge routing and state-based transitions for LangGraph workflows
Attributes
displayName
langgraph-routing
description
Conditional edge routing and state-based transitions for LangGraph workflows
libraryPath
library/specializations/ai-agents-conversational/skills/langgraph-routing/SKILL.md
specialization
ai-agents-conversational
contentSummary
# LangGraph Routing Skill
## Capabilities
- Design conditional edge routing in LangGraph
- Implement state-based transition logic
- Create dynamic routing functions
- Handle multi-path workflow branches
- Implement router nodes for complex decisions
- Design fallback and error routing pat
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_covers_topic1
- topic:event-driven-architecture·TopicEvent-Driven Architecture
lib_implements_workflow2
- workflow:feature-development·Workflow
- workflow:ml-model-lifecycle·WorkflowML Model Lifecycle
lib_involves_role2
- role:ml-engineer·RoleMachine Learning Engineer
- role:backend-engineer·RoleBackend Engineer
lib_requires_skill_area2
- skill-area:agentic-loops·SkillAreaAgentic Loops
- skill-area:agent-planning-reasoning·SkillAreaAgent Planning and Reasoning
Incoming edges
uses_skill2
- lib-process:ai-agents-conversational--langgraph-workflow-design·LibraryProcesslanggraph-workflow-design
- lib-process:ai-agents-conversational--plan-and-execute-agent·LibraryProcessplan-and-execute-agent