Agent skill · Design & Presentation

langchain-reference-architecture

A reference layered architecture for production LangChain 1.0 / LangGraph\ \ 1.0\nservices \u2014 LLM factory with version-safe defaults, chain/graph registry,\n\ retriever and tool DI, Pydantic-validated config, per-request tenant scoping,\n\ middleware ordering, checkpointer selection per environment. Use when starting\n\ a new service, refactoring a tangled chain, or onboarding a team to existing code.\n\ Trigger with \"langchain architecture\", \"langchain llm factory\",\n\"langchain\ \ chain registry\", \"langchain dependency injection\",\n\"langchain project structure\"\ .\n"

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-reference-architecture --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 6
SKILL.md size: 18 KB
Bundled scripts: none
Version: 2.5.0
Declared author: Jeremy Longshore <jeremy@intentsolutions.io>
Allowed tools: ReadWriteEdit
Requires: Designed for Claude Code, also compatible with Codex
Path: skills/.curated/langchain-reference-architecture/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# LangChain Reference Architecture (Python) ## Overview Eight months into a LangChain service, a code review surfaces the mess. Twelve chain definitions live inlined inside FastAPI route handlers. Three retrievers are constructed at module-global scope, one bound to `tenant_id="acme"` because that was the first tenant in the pilot — that retriever now returns Acme's documents to every other tenant

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About this skill
What does the langchain-reference-architecture skill do?

A reference layered architecture for production LangChain 1.0 / LangGraph\ \ 1.0\nservices \u2014 LLM factory with version-safe defaults, chain/graph registry,\n\ retriever and tool DI, Pydantic-validated config, per-request tenant scoping,\n\ middleware ordering, checkpointer selection per environment. Use when starting\n\ a new service, refactoring a tangled chain, or onboarding a team to existing code.\n\ Trigger with \"langchain architecture\", \"langchain llm factory\",\n\"langchain\ \ chain registry\", \"langchain dependency injection\",\n\"langchain project structure\"\ .\n"

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill langchain-reference-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 jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 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.

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