# spring-ai

> spring-ai — eazybytes-spring-ai. Use this tool when you need to accelerate your transition from Java development to AI engineering, leveraging Spring AI to fast-track your skills and streamline AI project development with Git integration. It solves problems of lengthy AI learning curves and inefficient project setup, providing a seamless interface for Java developers to input their existing knowledge and output AI-powered solutions. Ideal for use when transitioning to AI engineering or kickstarting AI projects with Java foundations.

Canonical page: https://skillsregistry.net/skills/eazybytes-spring-ai  
JSON: https://api.skillsregistry.net/v1/skills/eazybytes-spring-ai

## Description

From Java Dev to AI Engineer: Spring AI Fast Track

## 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:** other
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/eazybytes/spring-ai)

## 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": "eazybytes-spring-ai"
    }
  }
}
```

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