langgraph-subgraph

Subgraph composition and modular workflow design for LangGraph

509 stars

Best use case

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

Subgraph composition and modular workflow design for LangGraph

Teams using langgraph-subgraph 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/langgraph-subgraph/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/ai-agents-conversational/skills/langgraph-subgraph/SKILL.md"

Manual Installation

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

How langgraph-subgraph Compares

Feature / Agent	langgraph-subgraph	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?

Subgraph composition and modular workflow design for LangGraph

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

# LangGraph Subgraph Skill

## Capabilities

- Design modular subgraph components
- Compose subgraphs into parent workflows
- Handle state mapping between graphs
- Implement subgraph reusability patterns
- Design subgraph interfaces and contracts
- Handle subgraph error isolation

## Target Processes

- multi-agent-system
- langgraph-workflow-design

## Implementation Details

### Subgraph Patterns

1. **Compiled Subgraphs**: Pre-compiled reusable components
2. **State Mapping**: Input/output state transformation
3. **Nested Subgraphs**: Multi-level graph composition
4. **Parallel Subgraphs**: Concurrent subgraph execution

### Configuration Options

- State schema alignment
- Input/output key mapping
- Error propagation settings
- Subgraph checkpoint inheritance
- Timeout configurations

### Best Practices

- Clear subgraph interfaces
- Minimal state coupling
- Proper error boundaries
- Reusable component design
- Documentation for subgraph contracts

### Dependencies

- langgraph

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