Jhleee Layered Agent Architecture
jhleee-layered-agent-architecture is a Claude Code plugin for the Build phase that scaffolds seven-layer LangGraph-style agent projects with subgraphs, tools, and architecture linting.
by jhleee · github.com/jhleee/layered-agent-architecture
Install this Claude Code plugin when you want a seven-layer agent architecture scaffold with LangGraph state graphs, subgraphs, tool nodes, and dependency linting instead of ad-hoc agent folders.
Add it to Claude Code
Install the plugin in Claude Code. One command, paste-ready.
/plugin install jhleee-layered-agent-architecture@jhleee/layered-agent-architectureBuilt to be called by your agent
Skillselion is itself an MCP server. Your agent can pull this entry and a paste-ready install config straight from the API - no copy-paste.
Retrieve this entry with skillselion.get_details("plugin:jhleee/layered-agent-architecture") and the paste-ready config with skillselion.get_install_config("plugin:jhleee/layered-agent-architecture").
What it does
jhleee-layered-agent-architecture is a community Claude Code plugin bundle focused on structuring multi-step AI agents with a disciplined layered model rather than a single monolithic prompt file. Solo and indie builders shipping LangGraph or similar graph-based agents use it to scaffold projects, separate subgraphs from parent graphs, and keep tools, prompts, and nodes in predictable layers. The catalog metadata highlights architecture, dependency control, and linting—signals that the skill pushes you toward maintainable agent repos you can extend without entangling every node. It fits Builders who already chose an agent-shaped product and need a repeatable layout before integration work piles up. It is less about LLM API wiring alone and more about how the agent project is organized on disk and in the graph. Register the plugin in Claude Code, then invoke it when starting a new agent repo or refactoring a tangled graph into subgraphs with clear boundaries.
Highlights
- Seven-layer agent architecture pattern with explicit dependency boundaries between prompts, tools, nodes, and graphs
- LangGraph-oriented scaffolding for StateGraph and subgraphs so solo builders split orchestration from leaf capabilities
- Project scaffolding and versioning hooks aligned with long-lived agent codebases
- Linting and dependency rules to catch circular tool or node imports early
- Keywords span architect, layered, nodes, skill, and stategraph for discovery in agent-heavy repos
Why builders use it
Agent codebases turn into unmaintainable soup when prompts, tools, and graph nodes live in one flat layer with hidden dependencies.
After install, you get a layered project pattern and guardrails so new LangGraph nodes and subgraphs land in consistent folders with dependency checks before you scale features.
At a glance
- Type - Plugin in AI Agents.
- Adoption - 0 installs, 0 stars, 0 votes.
FAQ
Who is jhleee-layered-agent-architecture for?
It is for developers building layered Claude or LangGraph agents who need scaffolding, subgraph boundaries, and dependency discipline in one plugin.
When should I use jhleee-layered-agent-architecture?
Use it at the start of a new agent repo or when an existing StateGraph has grown messy and you want a seven-layer layout and linting-oriented structure.
How do I add jhleee-layered-agent-architecture to my agent?
Add the jhleee/layered-agent-architecture marketplace entry to Claude Code, install the bundle, then invoke its architecture skill from your project when scaffolding or restructuring graphs.
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