# ultra-ml-intern

> ultra-ml-intern — infiniv-ultra-ml-intern. Use this tool when you need to accelerate machine learning model development and deployment, particularly for tasks like auditing datasets and shipping model runs to Hugging Face. It solves problems related to ML engineering, such as streamlining the development process and ensuring model quality. It takes in research papers and datasets as inputs and outputs optimized model runs, ideal for use cases where rapid model iteration and deployment are crucial.

Canonical page: https://skillsregistry.net/skills/infiniv-ultra-ml-intern  
JSON: https://api.skillsregistry.net/v1/skills/infiniv-ultra-ml-intern

## Description

ultra-instinct ML engineering intern for Claude Code. Reads papers, audits datasets, ships SFT/DPO/LoRA runs to Hugging Face.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/infiniV/ultra-ml-intern)

## 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": "infiniv-ultra-ml-intern"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/infiniv-ultra-ml-intern` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/infiniv-ultra-ml-intern/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