·llm-app-patterns
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llm-app-patterns

hainamchung/agent-assistant

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

2Installs·0Trend·@hainamchung

Installation

$npx skills add https://github.com/hainamchung/agent-assistant --skill llm-app-patterns

SKILL.md

Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.

RAG (Retrieval-Augmented Generation) grounds LLM responses in your data.

| Pattern | Use When | Complexity | Cost |

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability. Source: hainamchung/agent-assistant.

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Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/hainamchung/agent-assistant --skill llm-app-patterns
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is llm-app-patterns?

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability. Source: hainamchung/agent-assistant.

How do I install llm-app-patterns?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/hainamchung/agent-assistant --skill llm-app-patterns Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/hainamchung/agent-assistant