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GraphQL Design Patterns

rohitg00/awesome-claude-code-toolkit

Guidance for building robust GraphQL services: schema design with Relay-style pagination, resolver patterns that leverage per-request DataLoader for N+1 prevention, subscription handling, and structured error payloads to simplify client integrations.

GraphQL Mutation Builder

graphql-mutation-builder

jeremylongshore/claude-code-plugins-plus-skills

Guides API developers through building well-structured GraphQL mutations with best-practice patterns, production-ready code, and validation help whenever “graphql mutation builder” appears in the request.

GraphQL Schema Generator

graphql-schema-generator

jeremylongshore/claude-code-plugins-plus-skills

Automates GraphQL schema generation within API development, guiding REST/GraphQL/OpenAPI design, producing production-ready code/configurations validated against standards.

GraphQL Subscription Setup

graphql-subscription-setup

jeremylongshore/claude-code-plugins-plus-skills

Automates GraphQL subscription onboarding for API development, guiding best practices, code scaffolding, and validation when configuring real-time endpoints.

Groq CI/CD Integration Guide

groq-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Configure robust CI/CD pipelines for Groq API integrations using GitHub Actions. This guide covers setting up unit tests (mocked), live integration tests, and automated model deprecation checks. It ensures that your LLM-powered application remains stable and compatible as models evolve.

Groq API Error Codes and Solutions

groq-common-errors

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide detailing common Groq API error codes (e.g., 401, 429, 400). It provides root causes, proper fixes, and code examples (Python, TypeScript) for debugging API integrations, ensuring stable operation in development environments.

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 Cost Optimization Techniques

groq-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to optimizing Groq API usage and managing inference costs. Learn techniques such as smart model routing (selecting smaller models for simple tasks), minimizing prompt tokens, batching requests to reduce overhead, and implementing caching for deterministic calls. This guide helps developers achieve significant cost savings and improve system efficiency when handling high-volume AI workloads.

Groq Compliant Data Handling Wrapper

groq-data-handling

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive, compliant wrapper for integrating with the Groq API. This module automatically sanitizes input prompts and filters model responses to redact sensitive PII (emails, phone numbers, SSN, etc.). It also tracks detailed token usage and generates robust audit logs, ensuring data privacy and regulatory compliance (GDPR, etc.) in enterprise AI applications.

Groq API Debug and Diagnostic Bundle

groq-debug-bundle

jeremylongshore/claude-code-plugins-plus-skills

A tool designed to collect comprehensive diagnostic evidence for troubleshooting issues encountered with the Groq API. It captures environment details, API connectivity status, rate limit information, latency benchmarks, and redacted application logs, making it essential for creating detailed and actionable support tickets.

Groq Deployment Across Cloud Platforms

groq-deploy-integration

jeremylongshore/claude-code-plugins-plus-skills

Comprehensive guide for deploying applications powered by the Groq inference API. Covers best practices and specific setup instructions for multiple production environments, including Vercel Edge Functions, Google Cloud Run, Docker containers, and other containerized platforms. Essential for setting up robust, low-latency, production-ready AI services.

Implementing Enterprise RBAC for Groq API

groq-enterprise-rbac

jeremylongshore/claude-code-plugins-plus-skills

This guide details how to implement robust, multi-layered Role-Based Access Control (RBAC) for managing LLM API calls to Groq in an enterprise setting. It covers best practices for API key scoping, application-level authorization (model selection, token limits), rate limiting, and detailed spending control mechanisms, ensuring secure and cost-effective usage across multiple teams.

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