llm-architect
CommunityDesign, deploy, and optimize LLM systems.
Software Engineering#prompt engineering#llm#rag#cost optimization#model deployment#llmops#ai architecture
Author404kidwiz
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complexity of designing, deploying, and optimizing large language model (LLM) applications for production environments, ensuring performance, cost-efficiency, and safety.
Core Features & Use Cases
- LLM System Architecture: Designs scalable LLM applications from requirements to production.
- Model Selection & Optimization: Guides choices between RAG, fine-tuning, and prompt engineering; optimizes for latency, cost, and accuracy.
- Deployment & Serving: Recommends and configures infrastructure for serving LLMs at scale.
- Safety & Compliance: Implements guardrails for content filtering, PII detection, and prompt injection prevention.
- Use Case: Architecting a customer support chatbot that leverages RAG for up-to-date information, fine-tuning for brand voice, and a multi-model routing strategy to balance cost and performance.
Quick Start
Use the llm-architect skill to design a scalable LLM system for real-time document summarization.
Dependency Matrix
Required Modules
transformerspeftdatasetschromadbsentence-transformersopenailangchainvllmfastapiuvicorn
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: llm-architect Download link: https://github.com/404kidwiz/claude-supercode-skills/archive/main.zip#llm-architect Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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