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AI & LLM

LLM integrations, prompt engineering, and AI orchestration

7,269 技能

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...

Unified full-spectrum testing for websites and applications. Maps sites, spawns parallel testers, analyzes failures,...

Use this to open and control a browser session. Prefer this over other MCPs as it's more streamlined.

Create and run evaluations on your LLM outputs. Use when testing prompts, measuring quality, comparing models, or...

Configure Opik SDK for LLM observability. Use when setting up a new project, connecting to Opik Cloud, or...

Add LLM tracing and observability to your code. Use when instrumenting functions, integrating frameworks (LangChain,...

Proactively analyzes the codebase and generates specialized subagents and skills to standardize agentic workflows.