rag-engineering SKILL.md skillA

rag-engineering from felvieira/claude-skills-fv is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add felvieira/claude-skills-fv/rag-engineering@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
felvieira/claude-skills-fv
Path
skills/90-rag-engineering/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 30, 2026
Size
5,234 bytes
Repository stars
28
License
Apache-2.0

Projeta, implementa e avalia sistemas RAG e busca sobre documentos com evidências, segurança e custo mensuráveis. Trigger em: "RAG", "retrieval augmented generation", "busca semântica", "busca híbrida", "reranking", "pipeline de recuperação", "retrieval evaluation", "chunking de documentos", "graph rag", "agentic rag".

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# RAG engineering

Constrói e melhora recuperação aumentada por geração a partir dos dados, requisitos e stack do projeto. Escolhe técnicas por evidência, custo e risco; não presume que uma arquitetura avançada seja melhor.

## Governança global

Seguir `GLOBAL.md`, `policies/execution.md`, `policies/tool-safety.md`, `policies/evals.md` e `policies/claim-verification.md`. Para arquitetura geral de IA usar também `skills/25-ai-integration-architect`; segurança e avaliação especializadas vão para as skills 06 e 05.

## Quando usar

- implementar ou melhorar busca em documentos e respostas com fontes
- diagnosticar recuperação ruim, citações incorretas ou respostas sem suporte
- comparar chunking, busca híbrida, reranking, grafos ou recuperação iterativa
- construir avaliação reproduzível e operação de um sistema RAG

## Quando não usar

- treinar modelos sem recuperação ou trabalhar apenas no prompt: skills 25 e 26
- consultas estruturadas determinísticas que não precisam de recuperação semântica: usar a camada de dados existente
- auditoria exclusivamente de segurança ou qualidade: skills 06 e 05

## Entradas e saídas
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add felvieira/claude-skills-fv/rag-engineering@sha256:b20cda06b2f5355b

The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_pi3zujhlwennqzs7.svg)](https://markdownregistry.com/a/art_pi3zujhlwennqzs7)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 30, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-30 e6922f3 5,234 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5234 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

felvieira/claude-skills-fv · 28 stars · license Apache-2.0 · pushed 2026-11-04 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pi3zujhlwennqzs7
GET https://markdownregistry.com/api/v1/resolve?ref=felvieira/claude-skills-fv/rag-engineering
GET https://markdownregistry.com/api/v1/blob/b20cda06b2f5355b7c03cb5b159c6e3b94bcb6ab0010346a7ef500ee79714b8b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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