/langchain-chains

name: langchain-chains
description: LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns
allowed-tools:
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graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:chain-of-thought-multistep-orchestration, skill-area:tool-service-integration-agents]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:feature-development, workflow:ml-model-lifecycle]
  topics: [topic:design-patterns]

LangChain Chains Skill

Capabilities

• Compose LangChain chains using LCEL (LangChain Expression Language)
• Implement sequential chain patterns
• Design router chains for conditional logic
• Create parallel execution chains
• Handle chain fallbacks and retries
• Implement streaming chains

Target Processes

• dialogue-flow-design
• chatbot-design-implementation

Implementation Details

Chain Patterns

1. **LCEL Pipelines**: Modern composition with | operator 2. **SequentialChain**: Linear chain execution (legacy) 3. **RouterChain**: Conditional routing based on input 4. **RunnableParallel**: Parallel execution branches 5. **RunnableBranch**: Conditional branching

Configuration Options

• Input/output key mapping
• Error handling strategies
• Retry configuration
• Streaming settings
• Batch processing options

Best Practices

• Use LCEL for new implementations
• Implement proper input/output schemas
• Add fallback chains for resilience
• Use streaming for long operations

Dependencies

• langchain-core
• langchain