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langgraph-subgraph skill

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This skill helps design modular subgraphs, compose workflows, and map state across graphs for reliable LangGraph orchestration.

npx playbooks add skill a5c-ai/babysitter --skill langgraph-subgraph

Review the files below or copy the command above to add this skill to your agents.

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SKILL.md

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---
name: langgraph-subgraph
description: Subgraph composition and modular workflow design for LangGraph
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
---

# 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

Overview

This skill provides patterns and utilities for designing modular LangGraph subgraphs and composing them into robust parent workflows. It focuses on clear interfaces, state mapping, and error isolation to enable reusable, deterministic orchestration. The goal is predictable, resumable execution across nested and parallel graph components.

How this skill works

It inspects subgraph boundaries and enforces input/output contracts, generating state mapping rules and configuration hints. The skill supports compiled subgraphs, nested and parallel composition, and checkpoint inheritance to make workflows resumable. Error propagation and timeout settings are exposed so parent graphs can apply isolation or retry strategies.

When to use it

Building reusable LangGraph components for multi-step agent workflows
Composing nested graphs that require state transformation between levels
Running parallel task branches that must merge outputs deterministically
Implementing resumable workflows with checkpoints and inheritance
Isolating failures so a subgraph error doesn't break the entire parent graph

Best practices

Define explicit subgraph interfaces with clear input/output schemas
Keep state coupling minimal; map only required keys between graphs
Use compiled subgraphs for common, stable logic to increase reuse
Apply error boundaries and propagation policies per subgraph
Document contracts and checkpoint behavior for each subgraph

Example use cases

Create a compiled subgraph for data enrichment used by multiple agent flows
Nest a verification subgraph inside a larger decision pipeline with state mapping
Run multiple parallel subgraphs to perform independent analyses and then merge results
Implement checkpoint inheritance so long-running workflows can resume after interruptions
Configure timeouts and error propagation so transient failures trigger retries, while critical errors bubble up

FAQ

How do I map state between parent and subgraph?

Declare an input/output key mapping and a state schema alignment for the subgraph; only map required keys and provide transformation logic where shapes differ.

When should I use compiled subgraphs?

Use compiled subgraphs for stable, frequently reused logic to improve performance and maintainability. Avoid compiling components that need frequent changes.