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SkillHub ClubDesign ProductData / AIDesignerTesting

langchain-architecture

Teaches developers how to build LLM applications using LangChain's core patterns for agents, memory, document processing, and chains. Provides concrete code examples for implementing agents, constructing multi-step workflows, and managing conversation state. Includes testing strategies and practical patterns like RAG and custom tool integration.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
2
Hot score
79
Updated
March 20, 2026
Overall rating
A8.3
Composite score
5.3
Best-practice grade
S96.0

Install command

npx @skill-hub/cli install krosebrook-source-of-truth-monorepo-langchain-architecture
langchainllm-workflowsagent-designdocument-retrieval

Repository

Krosebrook/source-of-truth-monorepo

Skill path: plugins/marketplaces/ando-marketplace/plugins/llm-application-dev/skills/langchain-architecture

Teaches developers how to build LLM applications using LangChain's core patterns for agents, memory, document processing, and chains. Provides concrete code examples for implementing agents, constructing multi-step workflows, and managing conversation state. Includes testing strategies and practical patterns like RAG and custom tool integration.

Open repository

Best for

Primary workflow: Design Product.

Technical facets: Data / AI, Designer, Testing, Integration.

Target audience: AI/ML teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: Krosebrook.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install langchain-architecture into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/Krosebrook/source-of-truth-monorepo before adding langchain-architecture to shared team environments
  • Use langchain-architecture for ai/ml workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.