What is the LLM Application Patterns skill?

It is a specialized guide for Claude Code that provides production-grade templates and architectural best practices for building AI-powered applications.

Can I use this for multi-agent systems?

Absolutely. The skill includes detailed patterns for ReAct agents, plan-and-execute architectures, and collaborative multi-agent teams with coordinator roles.

Is it compatible with different vector databases?

The skill provides implementation logic and comparison guides for popular options like Pinecone, Weaviate, ChromaDB, and pgvector.

Does this skill support RAG implementation?

Yes, it covers the entire RAG pipeline including document ingestion, semantic chunking, vector storage selection, and hybrid retrieval strategies.

LLM Application Patterns

Name: LLM Application Patterns
Author: claudiodearaujo

byclaudiodearaujo

0•

データサイエンスとML

Provides production-ready architectural patterns and implementation guides for building advanced LLM applications, RAG pipelines, and AI agents.

LLM Application Patterns is a comprehensive architectural guide designed to help developers build robust, scalable AI-powered software. It provides standardized patterns for implementing Retrieval-Augmented Generation (RAG) workflows, sophisticated agentic behaviors like ReAct and Multi-Agent collaboration, and efficient prompt management strategies. Whether you are designing an AI chatbot, a document-processing pipeline, or an autonomous task-solving agent, this skill offers code snippets and best practices to accelerate development and ensure production stability based on industry standards like Dify.

主な機能

010 GitHub stars

02Advanced Retrieval & Hybrid Search Strategies

03Multi-Agent Collaboration Frameworks

04Agentic Design Patterns (ReAct, Plan-and-Execute)

05Prompt Versioning and IDE Management Patterns

06End-to-end RAG Pipeline Architectures

ユースケース

01Designing complex RAG systems with hybrid search and document-aware chunking

02Building autonomous agents capable of tool use and multi-step reasoning

03Implementing LLMOps best practices for prompt engineering and observability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front llm-app-patterns

For use in Claude.ai and ChatGPT

Download Skill