langgraph-architecture
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
npx skills add majiayu000/claude-skill-registry --skill langgraph-architecture --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# LangGraph Architecture Decisions ## When to Use LangGraph ### Use LangGraph When You Need: - **Stateful conversations** - Multi-turn interactions with memory - **Human-in-the-loop** - Approval gates, corrections, interventions - **Complex control flow** - Loops, branches, conditional routing - **Multi-agent coordination** - Multiple LLMs working together - **Persistence** - Resume from checkpoints, time travel debugging - **Streaming** - Real-time token streaming, progress updates - **Reliability** - Retries, error recovery, durability guarantees ### Consider Alternatives When: | Scenario | Alternative | Why | |----------|-------------|-----| | Single LLM call | Direct API call | Overhead not justified | | Linear pipeline | LangChain LCEL | Simpler abstraction | | Stateless tool use | Function calling | No persistence needed | | Simple RAG | LangChain retrievers | Built-in patterns | | Batch processing | Async tasks | Different execution model | ## State Schema Decisions ### TypedDict vs Pydantic | TypedDict | Pydantic | |-----------|----------| | Lightweight, faster | Runtime validation | | Dict-like access | Attribute access | | No validation overhead | Type coercion | | Simple
- When to Use LangGraph
- Use LangGraph When You Need:
- Consider Alternatives When:
- State Schema Decisions
- TypedDict vs Pydantic
- Reducer Selection
- State Size Considerations
- Graph Structure Decisions
- Single Graph vs Subgraphs
- Conditional Edges vs Command
- Static vs Dynamic Routing
- Persistence Strategy
- Checkpointer Selection
- Checkpointing Scope
What does the langgraph-architecture skill do?
Guides architectural decisions for LangGraph applications. Use when deciding between LangGraph vs alternatives, choosing state management strategies, designing multi-agent systems, or selecting persistence and streaming approaches.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill langgraph-architecture --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.