# AI-native-engineer

> AI-native-engineer — bimal1023-ai-native-engineer. Use this tool when you need to track and manage AI engineering projects from fundamentals to advanced agent development. It solves problems related to organizing and versioning code for hands-on projects, providing a collaborative interface through git. Ideal for individuals and teams working on AI engineering projects, from beginners to experienced engineers.

Canonical page: https://skillsregistry.net/skills/bimal1023-ai-native-engineer  
JSON: https://api.skillsregistry.net/v1/skills/bimal1023-ai-native-engineer

## Description

Tracking my journey into AI engineering, one module at a time. Fundamentals to agents, with hands-on projects. Open to all.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/bimal1023/AI-native-engineer)

## 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": "bimal1023-ai-native-engineer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bimal1023-ai-native-engineer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bimal1023-ai-native-engineer/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