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AB Test Config Creator

a-b-test-config-creator

jeremylongshore/claude-code-plugins-plus-skills

Automates creation of A/B test configurations for ML deployment, guiding users through best practices, code samples, and validation steps so production models are served with monitoring and rollout control.

Axolotl LLM Fine-Tuning

Orchestra-Research/AI-Research-SKILLs

Expert guidance for fine-tuning LLMs with Axolotl, covering YAML configs, LoRA/QLoRA/DPO variants, multimodal support, and practical troubleshooting patterns for development and training workflows.

Axolotl LLM Fine-Tuning

Orchestra-Research/AI-Research-SKILLs

Expert guidance for fine-tuning LLMs with Axolotl, covering YAML configs, LoRA/QLoRA/DPO variants, multimodal support, and practical troubleshooting patterns for development and training workflows.

Canary Deployment Setup

canary-deployment-setup

jeremylongshore/claude-code-plugins-plus-skills

Provides automated guidance for setting up canary deployments in ML production environments, covering model serving, MLOps pipelines, monitoring, and configuration validation.

Batch Inference Pipeline

batch-inference-pipeline

jeremylongshore/claude-code-plugins-plus-skills

Guides ML teams through automated batch inference pipelines, suggesting best practices, monitoring and production readiness, and generating code and configs for deployment.

Neural Network Builder

building-neural-networks

jeremylongshore/claude-code-plugins-plus-skills

Enables Claude to configure neural network architectures through the neural-network-builder plugin, creating or modifying models and defining layers, activation functions, and training parameters whenever network design or tuning is requested.

Claude Code Development Best Practices

claude-code-guide

sickn33/antigravity-awesome-skills

A comprehensive guide to configuring and maximizing the potential of Claude Code, an advanced agentic coding tool. This resource details best practices, setup templates (CLAUDE.md), advanced prompting techniques (e.g., thinking keywords), and debugging strategies for building reliable, complex software autonomously.

Manage AI Model API Keys in Cursor

cursor-api-key-management

jeremylongshore/claude-code-plugins-plus-skills

Comprehensive guide for configuring Bring Your Own Key (BYOK) for major AI providers, including OpenAI, Anthropic, Google Gemini, Azure, and custom endpoints. This allows users to bypass default quotas, manage costs directly with the source provider, and utilize a wide range of specialized models within the Cursor IDE. It covers setup steps, security best practices, and cost monitoring strategies.

Avoiding Common AI Coding Pitfalls

cursor-known-pitfalls

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide to avoiding common pitfalls when using AI-powered IDEs like Cursor. It covers best practices for AI interaction, secure coding habits (handling secrets, credentials), project configuration (rules, ignore files), and performance optimization. Essential for maintaining high code quality and security in AI-assisted workflows.

Deepgram SDK Installation and Auth

deepgram-install-auth

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive guide for installing and configuring the Deepgram SDK for both Node.js and Python environments. This skill covers best practices for secure API key management using environment variables, client initialization (including version differences), and connection verification. Use this when integrating Deepgram's advanced speech-to-text and text-to-speech capabilities into a new application.

Distributed Training Setup

distributed-training-setup

jeremylongshore/claude-code-plugins-plus-skills

Guides automated distributed training setups with step-by-step practices, production-ready configs, and validation checks for ML training workflows.

FastAPI ML Endpoint

fastapi-ml-endpoint

jeremylongshore/claude-code-plugins-plus-skills

Automates FastAPI ML endpoint deployments by guiding architecture, producing production-ready code, and validating serving configs when you invoke the ML deployment skill.

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