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.
Install command
npx @skill-hub/cli install krosebrook-source-of-truth-monorepo-langchain-architecture
Repository
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 repositoryBest 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
Favorites: 0.
Sub-skills: 0.
Aggregator: No.