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GPU Resource Optimizer

gpu-resource-optimizer

jeremylongshore/claude-code-plugins-plus-skills

Automates GPU resource optimization for ML deployments by guiding best practices, generating production-ready configurations, and validating setups for model serving, MLOps pipelines, and monitoring.

Gradient Clipping Helper

gradient-clipping-helper

jeremylongshore/claude-code-plugins-plus-skills

Gradient Clipping Helper automates ML training work by guiding gradient clipping workflows, generating production-ready code and configs, and validating outputs for PyTorch, TensorFlow, and related pipelines.

Grafana Dashboard Creator

grafana-dashboard-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates Grafana dashboard creation for DevOps workflows, giving guided steps, production-ready configurations, and validation when integrating Kubernetes, Terraform, Helm, and advanced CI/CD monitoring practices.

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 Resolver Creator

graphql-resolver-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates GraphQL resolver creation for backend teams, giving step-by-step guidance, industry best practices, and production-ready code/configs to validate resolvers across Node.js, Python, Go, database design, caching, messaging, and microservices.

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.

Graphviz Dot Generator

graphviz-dot-generator

jeremylongshore/claude-code-plugins-plus-skills

Automated guidance for Graphviz dot generator requests, covering best practices, production-ready code, standard patterns, and validation for diagrams, charts, and visual documentation.

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.

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.

Grpc Service Generator

grpc-service-generator

jeremylongshore/claude-code-plugins-plus-skills

Automatically assists backend developers with gRPC service generation, offering best-practice patterns, multi-language scaffolds for Node.js, Python, Go, and validating configs for databases, caching, and messaging to stay production-ready.

Guidance Constrained Generation

Orchestra-Research/AI-Research-SKILLs

Guidance lets you wrap LLM calls with grammars, regex, and selection constraints to ensure valid JSON/XML/code, enforce formats, heal tokens, and orchestrate multi-step workflows via Pythonic context managers for production-ready automation.

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