Groq Skill Pack
24 Claude Code skills for Groq's ultra-fast LPU inference API -- real SDK code, real model IDs, real speed benchmarks.
What This Covers
Groq provides the fastest LLM inference available through custom LPU (Language Processing Unit) hardware. This skill pack covers the groq-sdk npm package, the OpenAI-compatible REST API at api.groq.com/openai/v1/, and all current model families: Llama 3.x text, Llama 4 vision, Whisper audio, and text-to-speech.
Key model IDs used throughout:
llama-3.1-8b-instant-- fastest, cheapest (~560 tok/s, $0.05/M tokens)llama-3.3-70b-versatile-- best quality (~280 tok/s, $0.59/M tokens)llama-3.3-70b-specdec-- speculative decoding variantmeta-llama/llama-4-scout-17b-16e-instruct-- multimodal visionwhisper-large-v3-turbo-- audio transcription at 216x real-time
Installation
/plugin install groq-pack@claude-code-plugins-plusSkills Included
Standard Skills (S01-S12)
| Skill | What It Does |
|---|---|
groq-install-auth |
Install groq-sdk, configure GROQ_API_KEY, verify connection |
groq-hello-world |
First chat completion, streaming, model selection |
groq-local-dev-loop |
Project setup, vitest mocking, integration tests |
groq-sdk-patterns |
Typed client, error handling with Groq.APIError, retry logic |
groq-core-workflow-a |
Chat completions, tool/function calling, JSON mode, structured outputs |
groq-core-workflow-b |
Whisper transcription, Llama 4 vision, text-to-speech, benchmarking |
groq-common-errors |
Error code reference (401, 429, 400, 500), rate limit headers |
groq-debug-bundle |
Diagnostic script: env, connectivity, rate limits, latency |
groq-rate-limits |
Header parsing, exponential backoff, p-queue, proactive throttling |
groq-security-basics |
Key rotation, git leak prevention, prompt injection defense |
groq-prod-checklist |
Go-live checklist: auth, fallback, health check, spending limits |
groq-upgrade-migration |
SDK upgrades, deprecated model scanner, model ID migration map |
Pro Skills (P13-P18)
| Skill | What It Does |
|---|---|
groq-ci-integration |
GitHub Actions: unit tests, integration tests, model deprecation checks |
groq-deploy-integration |
Vercel Edge, Cloud Run, Docker, Vercel AI SDK integration |
groq-webhooks-events |
SSE streaming, BullMQ batch processing, webhook event processor |
groq-performance-tuning |
Model speed tiers, prompt cache, parallel orchestration, benchmarking |
groq-cost-tuning |
Smart model routing (12x savings), batching, caching, usage tracking |
groq-reference-architecture |
Model registry, router, middleware, fallback chain, streaming pipeline |
Flagship Skills (F19-F24)
| Skill | What It Does |
|---|---|
groq-multi-env-setup |
Dev/staging/prod config, secret management, Docker Compose |
groq-observability |
Prometheus metrics, rate limit gauges, alert rules, structured logging |
groq-incident-runbook |
Triage script, decision tree, fallback activation, postmortem template |
groq-data-handling |
PII redaction, response filtering, audit logging, Llama Guard moderation |
groq-enterprise-rbac |
Team access control, spending limits, API gateway, key rotation |
groq-migration-deep-dive |
OpenAI-to-Groq migration, provider abstraction, traffic shifting |
Usage
Skills trigger automatically when you discuss Groq topics:
- "Help me set up Groq" triggers
groq-install-auth - "Groq 429 error" triggers
groq-common-errors - "Transcribe audio with Groq" triggers
groq-core-workflow-b - "Deploy my Groq app to Vercel" triggers
groq-deploy-integration - "Migrate from OpenAI to Groq" triggers
groq-migration-deep-dive
Key Links
License
MIT