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Groq Chat, Tools, and Structured Output

groq-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to implementing advanced LLM patterns using the Groq API. This workflow demonstrates how to handle chat completions, robust tool/function calling for integrating external services (like weather or search), and enforcing structured data output using JSON mode and strict schemas. Ideal for building real-time, production-grade AI features.

Groq API Chat Completion Guide

groq-hello-world

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to using Groq's high-speed LPU for chat completion. This resource provides code examples in TypeScript and Python, covering basic chat interactions, streaming responses, and advanced multimodal features. Ideal for developers building high-performance, low-latency AI applications using the Groq API.

Groq API Incident Response Runbook

groq-incident-runbook

jeremylongshore/claude-code-plugins-plus-skills

This comprehensive runbook guides incident response for Groq API failures. It covers triage steps, severity classification (P1-P4), troubleshooting decision trees (e.g., handling 429 errors or 5xx outages), and implementing immediate mitigations like model fallback or key rotation. Use this when responding to Groq outages to restore service stability.

Setup And Authenticate Groq SDK Client

groq-install-auth

jeremylongshore/claude-code-plugins-plus-skills

This guide provides comprehensive instructions for installing and configuring the official Groq SDK in both Python and TypeScript environments. It covers dependency setup, secure API key management using environment variables, and provides code examples to verify a successful connection to Groq's ultra-fast LLM inference API. Essential for initiating any project powered by Groq.

Observability for Groq Integrations

groq-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive observability tools for Groq API integrations. It instruments the client to track critical performance metrics such as Time to First Token (TTFT), total latency, token throughput, and estimated cost. Furthermore, it sets up Prometheus exporters and alert rules to monitor rate limit status and detect performance degradation in real-time, ensuring robust production monitoring.

Groq API Performance Optimization Guide

groq-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to maximizing Groq API performance. This skill details advanced techniques including optimal model selection (balancing latency and quality), implementing semantic caching, efficient token management, streaming responses for perceived speed, and orchestrating parallel requests to ensure high throughput and low latency in production applications.

Implement Groq Rate Limit Handling

groq-rate-limits

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive utility for managing Groq's API rate limits (RPM/TPM). It implements robust patterns including exponential backoff, automated retries upon 429 errors, and structured request queuing to ensure stable and efficient high-throughput API calls. Includes functions for parsing detailed rate limit headers.

Groq Production Architecture Design

groq-reference-architecture

jeremylongshore/claude-code-plugins-plus-skills

This guide details a production-ready reference architecture for applications built on Groq's LPU inference API. It covers sophisticated model routing based on latency, quality, or cost needs, implementing streaming pipelines, and establishing robust multi-provider fallback chains (e.g., Groq primary to OpenAI backup). Ideal for designing and reviewing complex, resilient LLM systems.

Implementing Groq SDK Patterns

groq-sdk-patterns

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to production-ready patterns for using the Groq SDK in TypeScript and Python. Covers best practices for client singleton setup, type-safe completions, streaming, robust error handling (rate limiting, API errors), and implementing exponential backoff retries to ensure stable, high-performance LLM integration.

Guidewire API Error Diagnosis and Fixes

guidewire-common-errors

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive guidance for diagnosing and resolving common Guidewire Cloud API errors. It covers typical HTTP status codes (400, 401, 403, 404, 409, 422) and common Gosu exceptions like ClassNotFoundException, NPE, and ValidationException. Use this resource when integrating with Guidewire systems or troubleshooting failed API calls.

Guidewire Policy Lifecycle Workflow Automation

guidewire-core-workflow-a

jeremylongshore/claude-code-plugins-plus-skills

This skill executes the complete policy lifecycle within the Guidewire PolicyCenter system via the Cloud API. It guides users through essential steps such as creating new accounts, submitting applications, quoting policies, binding coverage, issuing the final policy, and managing endorsements or renewals. It is ideal for automating core insurance business processes.

Guidewire Claims Workflow Management

guidewire-core-workflow-b

jeremylongshore/claude-code-plugins-plus-skills

Automate the entire insurance claims lifecycle within the Guidewire ClaimCenter platform. This workflow covers initial First Notice of Loss (FNOL) creation, investigation steps, reserve setting, payment processing, and final settlement. It is designed for insurance operations teams needing to streamline complex, multi-stage claims management processes using API calls.

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