langchain-chains

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

509 stars

bya5c-ai

View on GitHub Installation ↓

Best use case

langchain-chains is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

Teams using langchain-chains should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/langchain-chains/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/ai-agents-conversational/skills/langchain-chains/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/langchain-chains/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How langchain-chains Compares

Feature / Agent	langchain-chains	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

LangChain chain composition including SequentialChain, RouterChain, and LCEL patterns

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

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