# Chetan3777

> Use this tool when you need to develop and deploy scalable software applications using Java and Agentic AI, leveraging microservices architecture and version control through git. It solves problems related to complex system integration, AI-driven solutions, and collaborative development. Ideal for projects requiring Spring AI, MCP Servers, and robust software engineering expertise.

Canonical page: https://skillsregistry.net/skills/chetan3777-chetan3777  
JSON: https://api.skillsregistry.net/v1/skills/chetan3777-chetan3777

## Description

Senior Software Engineer · Java + Agentic AI · Spring AI · MCP Servers · Microservices

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [GitHub](https://github.com/Chetan3777/Chetan3777)

## 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": "chetan3777-chetan3777"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/chetan3777-chetan3777` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/chetan3777-chetan3777/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