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AutoML Pipeline Builder

building-automl-pipelines

jeremylongshore/claude-code-plugins-plus-skills

Builds AutoML pipelines by analyzing user requests, generating code for data preparation, model selection, hyperparameter tuning, validation, and metrics, then documenting artifacts for streamlined automated machine learning workflows.

Cursor Model Selection

cursor-model-selection

jeremylongshore/claude-code-plugins-plus-skills

Configure and select AI models inside Cursor by reviewing available providers, matching models to task needs, setting defaults, and managing per-conversation choices while keeping costs efficient.

Feature Engineering Toolkit

engineering-features-for-machine-learning

jeremylongshore/claude-code-plugins-plus-skills

Feature Engineering Toolkit automates creating, selecting, and transforming dataset features to improve machine learning models; use it whenever you need new interactions, automatic selection, scaling, or encoding to boost accuracy and interpretability.

Multi-Environment Groq Setup Guide

groq-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to configuring and managing Groq API access across development, staging, and production environments. This skill establishes environment-specific configurations, ensuring optimal model selection, rate limit handling, and secure secret management (using AWS, GCP, Vault) for robust and scalable LLM integrations.

Groq Performance Tuning

groq-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides developers to optimize Groq API calls through model selection, streaming, semantic caching, and parallel orchestration so latency-sensitive applications get consistent sub-100ms inference.

Ideogram Cost Tuning

ideogram-cost-tuning

jeremylongshore/claude-code-plugins-plus-skills

Guides selection of Ideogram models, resolutions, caching, batching, and monitoring to lower per-image credits while maintaining quality; ideal for billing analysis or budget-aware teams using Ideogram image generation.

LLM Integration Patterns

llm-integration

rohitg00/awesome-claude-code-toolkit

Practical guide to integrating Claude models: covers API client usage, streaming responses, tool calls, RAG pipelines, document chunking, cost-aware model selection, and anti-pattern warnings for efficient LLM workflows.

Ollama Local Deployment

jeremylongshore/claude-code-plugins-plus-skills

Automates Ollama installation, model selection, and integration so you can run self-hosted LLMs offline on macOS, Linux, or Docker with curated hardware guidance, Python/Node.js clients, and REST API verification.

OpenRouter Model Routing

openrouter-model-routing

jeremylongshore/claude-code-plugins-plus-skills

Implements advanced OpenRouter model routing with A/B testing, gradual rollouts, and performance-aware selection to optimize multi-model deployments and experiments across environments.

OpenRouter Pricing Guide

openrouter-pricing-basics

jeremylongshore/claude-code-plugins-plus-skills

Explain OpenRouter pricing, cost estimation, and efficient model selection to support budgeting and integration decisions. Use when estimating token expenses, aligning configurations, and validating API connectivity.

Perplexity Pitfalls Guide

perplexity-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A concise reference for spotting and avoiding Perplexity Sonar anti-patterns during reviews, onboarding, or audits, covering citation parsing, model selection, recency handling, and context limits so integrations stay accurate and cost-effective.

Perplexity Policy Guardrails

perplexity-policy-guardrails

jeremylongshore/claude-code-plugins-plus-skills

Implements Perplexity Sonar guardrails covering query moderation, tiered model selection, citation scoring, and per-user quotas, so teams can plug policy checks into pre-commit hooks or CI to keep live searches safe and cost-effective.

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