# Pragmatic RAG Agents Core

> Use this tool when you need to build and deploy AI agents that can efficiently retrieve and generate information from various data sources and APIs. It solves problems related to agent development by streamlining the integration of multiple data sources, enhancing agent capabilities, and providing a robust core library. Ideal for practical applications, it takes in data sources and APIs as inputs and outputs efficient retrieval-augmented generation agents.

Canonical page: https://skillsregistry.net/skills/chughtapan-praga-core  
JSON: https://api.skillsregistry.net/v1/skills/chughtapan-praga-core

## Description

Build and deploy pragmatic retrieval-augmented generation (RAG) agents efficiently. Integrate various data sources and APIs to enhance your AI agents' capabilities. Streamline agent development with a robust core library designed for practical applications.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** devops-ci
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/chughtapan/praga_core)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "chughtapan-praga-core"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chughtapan-praga-core` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chughtapan-praga-core/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
