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rag SKILL.md skillA

rag from giuseppe-trisciuoglio/developer-kit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add giuseppe-trisciuoglio/developer-kit/rag@git:20260324.a02e282

Pins git:20260324.a02e282 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: giuseppe-trisciuoglio/developer-kit
Path: plugins/developer-kit-ai/skills/rag/SKILL.md
Versions recorded: 5
Latest version: git:20260324.a02e282, committed Mar 24, 2026
First version recorded: Feb 7, 2026
Size: 7,076 bytes
Repository stars: 366
License: MIT

Implements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.

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 Implementation

Build Retrieval-Augmented Generation systems that extend AI capabilities with external knowledge sources.

## Overview

This skill covers: document processing, embedding generation, vector storage, retrieval configuration, and RAG pipeline implementation.

## When to Use

- Building Q&A systems over proprietary documents
- Creating chatbots with factual information from knowledge bases
- Implementing semantic search with natural language queries
- Reducing hallucinations with grounded, sourced responses
- Building documentation assistants and research tools
- Enabling AI systems to access domain-specific knowledge

## Instructions

### Step 1: Choose Vector Database

Select based on your requirements:

| Requirement | Recommended |
|-------------|-------------|
| Production scalability | Pinecone, Milvus |
| Open-source | Weaviate, Qdrant |
| Local development | Chroma, FAISS |
| Hybrid search | Weaviate with BM25 |

### Step 2: Select Embedding Model

| Use Case | Model |
|----------|-------|
| General purpose | text-embedding-ada-002 |
| Fast and lightweight | all-MiniLM-L6-v2 |
| Multilingual | e5-large-v2 |
| Best performance | bge-large-en-v1.5 |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add giuseppe-trisciuoglio/developer-kit/rag@sha256:16a91ad8dc01aa77

The line at the top of this page pins the label git:20260324.a02e282, 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](https://markdownregistry.com/badge/art_43yd6mqgcl4o7lam.svg)](https://markdownregistry.com/a/art_43yd6mqgcl4o7lam)

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

Versions

The registry has recorded 5 versions of this file, between Feb 7, 2026 and Mar 24, 2026, about one every 11 days.

version	committed	commit	size	audit
git:20260324.a02e282 latest	2026-03-24	a02e282	7,076 B	A	view · diff
git:20260228.3187e79	2026-02-28	3187e79	15,565 B	A	view · diff
git:20260223.c6d4db1	2026-02-23	c6d4db1	14,996 B	A	view · diff
v1.0.0	2026-02-08	147afce	15,106 B	A	view · diff
v1.0.0	2026-02-07	1a732c7	10,156 B	A	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 (7076 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

giuseppe-trisciuoglio/developer-kit · 366 stars · license MIT · pushed 2026-09-10 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_43yd6mqgcl4o7lam
GET https://markdownregistry.com/api/v1/resolve?ref=giuseppe-trisciuoglio/developer-kit/rag
GET https://markdownregistry.com/api/v1/blob/16a91ad8dc01aa773bb18cb0e109206423d37127416f06d9637bdf9b625fae96

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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giuseppe-trisciuoglio/developer-kit · plugins/developer-kit-ai/skills/chunking-strategy/SKILL.md · Provides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap…