LangGraph Subgraph Skill
SkillMediaSubgraph composition and modular workflow design for LangGraph
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 LangGraph Subgraph 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/langgraph-subgraph/SKILL.md and read by ahel’s review.
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
Signals
- GitHub stars
- 2k
- Forks
- 112
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
langgraph-subgraph- Source
- github.com/a5c-ai/babysitter