Individual skill
groq-reference-architecture
Implement Groq reference architecture with model routing, streaming pipelines, and fallbacks. Use when designing new Groq integrations, reviewing project structure, or establishing architecture standards for Groq applications. Trigger with phrases like "groq architecture", "groq best practices", "groq project structure", "how to organize groq", "groq design".
skills/.curated/groq-reference-architecture/SKILL.md
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- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- groq Declared skill tag
- groq-reference Declared skill tag
- engineering Derived category
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SKILL.mdcore · 6,902 bytesSKILL.mdcore · 6,902 bytesreferences/architecture.mddoc · 3,596 bytesreferences/examples.mddoc · 2,134 bytesreferences/implementation.mddoc · 7,084 bytes
Read excerpt
# Groq Reference Architecture
## Overview
Production architecture for applications built on Groq's LPU inference API. It
covers four concerns that every serious Groq integration needs: routing requests
to the right model by latency/capability/cost, a middleware band (cache, metrics,
retry), a multi-provider fallback chain, and a streaming pipeline. The service
layer built here is reusable across a chat UI, an API backend, a batch processor,
or an agent.
The full layer diagram and how the pieces interact lives in
[references/architecture.md](references/architecture.md); the complete,
copy-ready TypeScript for every layer is in
[references/implementation.md](references/implementation.md).