# Ragas Skill

> RAGAS를 사용하여 LLM 애플리케이션을 체계적으로 평가하는 방법을 제공합니다.

- Skill: `majiayu000/ragas-skill` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add majiayu000/ragas-skill`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/ragas-skill/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/ragas-skill

---


# RAGAS를 사용하는 방법에 대한 전체 가이드 문서입니다.

Ragas is a library that helps you move from "vibe checks" to systematic evaluation loops for your AI applications. It provides tools to supercharge the evaluation of Large Language Model (LLM) applications, enabling you to evaluate your LLM applications with ease and confidence.

## Start evaluating in 5 minutes with our quickstart guide.

[Get Started](getstarted/quickstart.md)

## Understand experiments, metrics, and datasets—the building blocks of effective evaluation.

[Core Concepts](./concepts/index.md)

## Integrate Ragas into your workflow with practical guides for specific use cases.

[How-to Guides](./howtos/index.md)

## API documentation and technical details for diving deeper.

[References](./references/index.md)