Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/llm-app-patterns-dokhacgiakhoa-antigravity-ide
SKILL.md
🤖 LLM Application Patterns
Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.
When to Use This Skill
Use this skill when:
- Designing LLM-powered applications
- Implementing RAG (Retrieval-Augmented Generation)
- Building AI agents with tools
- Setting up LLMOps monitoring
- Choosing between agent architectures
1. RAG Pipeline Architecture
🧠 Knowledge Modules (Fractal Skills)
1. Overview
2. 1.1 Document Ingestion
3. 1.2 Embedding & Storage
4. 1.3 Retrieval Strategies
5. 1.4 Generation with Context
6. 2.1 ReAct Pattern (Reasoning + Acting)
7. 2.2 Function Calling Pattern
8. 2.3 Plan-and-Execute Pattern
9. 2.4 Multi-Agent Collaboration
10. 3.1 Prompt Templates with Variables
11. 3.2 Prompt Versioning & A/B Testing
12. 3.3 Prompt Chaining
13. 4.1 Metrics to Track
14. 4.2 Logging & Tracing
15. 4.3 Evaluation Framework
16. 5.1 Caching Strategy
17. 5.2 Rate Limiting & Retry
18. 5.3 Fallback Strategy
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