llm-architect
Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastructure. Designs scalable large language model applications with focus on performance, cost efficiency, and safety.
npx skills add majiayu000/claude-skill-registry --skill llm-architect-skill-404kidwiz-claude-supercode-ski --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 Architect ## Purpose Provides expert large language model system architecture for designing, deploying, and optimizing LLM applications at scale. Specializes in model selection, RAG (Retrieval Augmented Generation) pipelines, fine-tuning strategies, serving infrastructure, cost optimization, and safety guardrails for production LLM systems. ## When to Use - Designing end-to-end LLM systems from requirements to production - Selecting models and serving infrastructure for specific use cases - Implementing RAG (Retrieval Augmented Generation) pipelines - Optimizing LLM costs while maintaining quality thresholds - Building safety guardrails and compliance mechanisms - Planning fine-tuning vs RAG vs prompt engineering strategies - Scaling LLM inference for high-throughput applications ## Quick Start **Invoke this skill when:** - Designing end-to-end LLM systems from requirements to production - Selecting models and serving infrastructure for specific use cases - Implementing RAG (Retrieval Augmented Generation) pipelines - Optimizing LLM costs while maintaining quality thresholds - Building safety guardrails and compliance mechanisms **Do NOT invoke when:** - Simple API integratio
- Purpose
- When to Use
- Quick Start
- Decision Framework
- Model Selection Quick Guide
- RAG vs Fine-Tuning Decision Tree
- Architecture Pattern
- Core Workflow: Design LLM System
- 1. Requirements Gathering
- 2. Model Selection
- 3. Prototype & Evaluate
- 4. Iteration Checklist
- Cost Optimization Strategies
- Safety Checklist
Run benchmark on eval dataset python scripts/evaluate_model.py \ Expected output: P95 Latency: 1,245ms Cost per 1K requests: $2.15
What does the llm-architect skill do?
Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastructure. Designs scalable large language model applications with focus on performance, cost efficiency, and safety.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill llm-architect-skill-404kidwiz-claude-supercode-ski --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.