LangChain Chains Skill

SkillDev tools

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the LangChain Chains Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/langchain-chains/SKILL.md and read by ahel’s review.

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

LCEL Pipelines: Modern composition with | operator
SequentialChain: Linear chain execution (legacy)
RouterChain: Conditional routing based on input
RunnableParallel: Parallel execution branches
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

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: langchain-chains
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter