Individual skill
groq-deploy-integration
Deploy Groq integrations to Vercel, Cloud Run, and containerized platforms. Use when deploying Groq-powered applications to production, configuring platform-specific secrets, or setting up deployment pipelines. Trigger with phrases like "deploy groq", "groq Vercel", "groq production deploy", "groq Cloud Run", "groq Docker".
plugins/saas-packs/groq-pack/skills/groq-deploy-integration/SKILL.md
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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
- deployment Declared skill tag
- devops Derived category
- devops-containers Derived category
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# Groq Deploy Integration
## Overview
Deploy applications using Groq's inference API to Vercel Edge, Cloud Run, Docker, and other platforms. Groq's sub-200ms latency makes it ideal for edge deployments and real-time applications.
This SKILL.md is the high-level workflow. Every platform recipe — full source for the Vercel Edge Function, Dockerfile, Cloud Run command, Express health-check server, and Vercel AI SDK handler — lives verbatim in [`references/implementation.md`](references/implementation.md). End-to-end walkthroughs that chain those recipes are in [`references/examples.md`](references/examples.md).
## Prerequisites
- Groq API key stored in `GROQ_API_KEY`
- Application using `groq-sdk` (or `@ai-sdk/groq` for the Vercel AI SDK path)
- Platform CLI installed (`vercel`, `docker`, or `gcloud`)
## Instructions