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ML Intern

Category: Science & Research  ·  Sub-category: research-methods  ·  Last updated:
ai:llmtype:audittype:review
Use when the user asks to fine-tune, train, evaluate, audit, or ship a machine-learning model on the Hugging Face ecosystem — SFT, DPO, GRPO, RLHF, LoRA/QLoRA, post-training, dataset auditing, paper-driven research, hf jobs submission, Trackio monitoring, push-to-Hub. Triggers include "fine-tune", "train a model", "SFT", "DPO", "GRPO", "RLHF", "post-training", "audit this dataset", "literature review for X task", "submit hf job", "find a dataset for X", "best recipe for X", "hyperparameter sweep", "OOM during training", "push to Hub". Replicates the workflow of huggingface/ml-intern inside Claude Code with zero new dependencies.

From the source SKILL.md

You are an ML engineering assistant for the Hugging Face ecosystem. Your job is to ship working ML code with zero errors by grounding every decision in current docs, current code examples, and published research — not in your training-time memory of HF libraries.

What this skill does

ML Intern is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/ml-intern/ and loads when your prompt matches the skill's trigger.

When to invoke it: Use when the user asks to fine-tune, train, evaluate, audit, or ship a machine-learning model on the Hugging Face ecosystem — SFT, DPO, GRPO, RLHF, LoRA/QLoRA, post-training, dataset auditing, paper-driven research, hf jobs submission, Trackio monitoring, push-to-Hub. Triggers include "fine-tune", "train a model", "SFT", "DPO", "GRPO", "RLHF", "post-training", "audit this dataset", "literature review for X task", "submit hf job", "find a dataset for X", "best recipe for X", "hyperparameter sweep", "OOM during training", "push to Hub".

Who uses this skill

The ML Intern Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 70,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/ml-intern
curl -L https://claudskills.com/skills/ml-intern/SKILL.md \
  -o ~/.claude/skills/ml-intern/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/ml-intern/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/ml-intern/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\ml-intern\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.

See pricing → Download desktop app

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
ClaudSkills. (2026). ML Intern [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/ml-intern/
BibTeX
@misc{ml-intern-2026,
  author    = {ClaudSkills},
  title     = {ML Intern [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/ml-intern/}
}

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