# GenZ-s-GenAI

> GenZ-s-GenAI — 24prathamesh2004-genz-s-genai. Use this tool when you need to develop and deploy production-ready Generative AI applications, solving problems in AI engineering such as workflow orchestration and observability. It provides a hands-on repository with inputs including LangChain, LangGraph, and Model Context Protocol (MCP), and outputs production-ready AI applications. Ideal for use cases involving RAG systems, AI agents, and tool integration, with a git interface for version control and collaboration.

Canonical page: https://skillsregistry.net/skills/24prathamesh2004-genz-s-genai  
JSON: https://api.skillsregistry.net/v1/skills/24prathamesh2004-genz-s-genai

## Description

A complete hands-on repository covering modern Generative AI engineering using LangChain, LangGraph, LangSmith, and Model Context Protocol (MCP). This repository explores RAG systems, AI agents, workflow orchestration, observability, tool calling, memory, persistence, and production-ready AI application development.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/24prathamesh2004/GenZ-s-GenAI)

## 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": "24prathamesh2004-genz-s-genai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/24prathamesh2004-genz-s-genai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/24prathamesh2004-genz-s-genai/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
