langchain-architecture
Provides practical guidance for building LLM applications with LangChain, covering agents, chains, memory, and document processing. Includes working code examples for common patterns like RAG and multi-step workflows, plus testing and optimization tips.
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 microck-ordinary-claude-skills-langchain-architecture
Repository
Skill path: skills_categorized/llm-ai/langchain-architecture
Provides practical guidance for building LLM applications with LangChain, covering agents, chains, memory, and document processing. Includes working code examples for common patterns like RAG and multi-step workflows, plus testing and optimization tips.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Testing.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: Microck.
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/Microck/ordinary-claude-skills before adding langchain-architecture to shared team environments
- Use langchain-architecture for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.