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claude-codedevelopment

Babysitter langchain-chains

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/ai-agents-conversational/skills/langchain-chains" ~/.claude/skills/a5c-ai-babysitter-langchain-chains && rm -rf "$T"
manifest: library/specializations/ai-agents-conversational/skills/langchain-chains/SKILL.md
tags
#chain-composition#langchain#dialogue-flow#router-chain#sequential-chain#lcel
source content

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