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.
npx skills add majiayu000/claude-skill-registry --skill llm-app-patterns-dokhacgiakhoa-antigravity-ide --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 🤖 LLM Application Patterns > Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/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](./sub-skills/overview.md) ### 2. [1.1 Document Ingestion](./sub-skills/11-document-ingestion.md) ### 3. [1.2 Embedding & Storage](./sub-skills/12-embedding-storage.md) ### 4. [1.3 Retrieval Strategies](./sub-skills/13-retrieval-strategies.md) ### 5. [1.4 Generation with Context](./sub-skills/14-generation-with-context.md) ### 6. [2.1 ReAct Pattern (Reasoning + Acting)](./sub-skills/21-react-pattern-reasoning-acting.md) ### 7. [2.2 Function Calling Pattern](./sub-skills/22-function-calling-pattern.md) ### 8. [2.3 Plan-and-Execute Pattern](./sub-skills/23-plan-and-execute-pattern.md) ### 9. [2.4 Multi-Agent Collaboration](./sub-skills/24-multi-agent-collaboration.md) ### 10. [3.1 Prompt
- When to Use This Skill
- 1. RAG Pipeline Architecture
- 🧠 Knowledge Modules (Fractal Skills)
- 1. [Overview](./sub-skills/overview.md)
- 2. [1.1 Document Ingestion](./sub-skills/11-document-ingestion.md)
- 3. [1.2 Embedding & Storage](./sub-skills/12-embedding-storage.md)
- 4. [1.3 Retrieval Strategies](./sub-skills/13-retrieval-strategies.md)
- 5. [1.4 Generation with Context](./sub-skills/14-generation-with-context.md)
- 7. [2.2 Function Calling Pattern](./sub-skills/22-function-calling-pattern.md)
- 8. [2.3 Plan-and-Execute Pattern](./sub-skills/23-plan-and-execute-pattern.md)
- 9. [2.4 Multi-Agent Collaboration](./sub-skills/24-multi-agent-collaboration.md)
- 12. [3.3 Prompt Chaining](./sub-skills/33-prompt-chaining.md)
- 13. [4.1 Metrics to Track](./sub-skills/41-metrics-to-track.md)
- 14. [4.2 Logging & Tracing](./sub-skills/42-logging-tracing.md)
What does the llm-app-patterns skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm-app-patterns-dokhacgiakhoa-antigravity-ide --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.