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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

6,600 skills

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems...

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email...

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks...

Framework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI,...

Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors),...

Extend context windows of transformer models using RoPE, YaRN, ALiBi, and position interpolation techniques. Use...

Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes...

Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented...

Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management,...

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking...

Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

Autonomous coding agent that breaks features into small user stories and implements them iteratively with fresh...