langgraph-subgraph
npx machina-cli add skill a5c-ai/babysitter/langgraph-subgraph --openclawFiles (1)
SKILL.md
1.1 KB
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
- Compiled Subgraphs: Pre-compiled reusable components
- State Mapping: Input/output state transformation
- Nested Subgraphs: Multi-level graph composition
- 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
Source
git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/specializations/ai-agents-conversational/skills/langgraph-subgraph/SKILL.mdView on GitHub Overview
This skill enables designing modular subgraph components, composing them into parent LangGraph workflows, and managing state mapping, interfaces, and error isolation. It emphasizes reusable patterns, clear contracts, and robust error boundaries to build complex multi-agent workflows efficiently.
How This Skill Works
Define subgraph patterns such as compiled, nested, and parallel subgraphs, then configure state mapping, input/output schemas, and error propagation. Subgraphs are composed into parent workflows with explicit interfaces and contracts, enabling reuse, isolation of failures, and predictable behavior across multi-agent designs.
When to Use It
- Building a multi-agent system where reusable subgraph blocks coordinate complex tasks
- Designing langgraph-workflow-design with hierarchical, nested subgraphs
- Reusing a common subgraph across multiple workflows to ensure consistency
- Managing input/output state mapping across several subgraphs in a data pipeline
- Isolating errors within a subgraph to prevent cascading failures
Quick Start
- Step 1: Define interfaces and a consistent state schema for the subgraph
- Step 2: Implement the subgraph as a compiled component and map inputs/outputs
- Step 3: Compose the subgraph into a parent workflow, configuring error handling and timeouts
Best Practices
- Clear subgraph interfaces with well-defined inputs, outputs, and contracts
- Minimal state coupling between subgraphs to simplify maintenance
- Implement proper error boundaries and explicit error propagation settings
- Design subgraphs as reusable components with documented expectations
- Provide documentation for subgraph contracts and expected state schemas
Example Use Cases
- Using compiled subgraphs as reusable building blocks in a multi-agent planner
- Nested subgraphs orchestrating a hierarchical decision process across agents
- Parallel subgraphs fetching and enriching data concurrently to speed up workflows
- State mapping to normalize heterogeneous inputs from different agents into a common schema
- Subgraph checkpoint inheritance enabling safe rollbacks on partial failures
Frequently Asked Questions
Add this skill to your agents