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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,400 skills

Expert guidance for SvelteKit development with TypeScript, Tailwind CSS, SSR/SSG, and performance optimization best practices

RSpec testing best practices for Ruby and Rails applications, covering test organization, data management, and...

PyTorch deep learning development with transformers, diffusion models, and GPU optimization.

Expert guidance for building onchain applications with OnchainKit SDK components and utilities

Meta-prompting framework for critiquing responses, analyzing solution trajectories, and evaluating AI-generated...

Large Language Model development, training, fine-tuning, and deployment best practices.

Guidelines for building modern APIs with Koa.js and TypeScript, featuring the onion middleware model and async/await patterns