FreeSkills
Commits, branches and sync with the but CLI
- 361361 downloads
- 198198 likes
- 103103 saves
Works with
- Claude Code
- Codex
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ML engineer agent: PyTorch, LLMs and MLOps v1.0.0
Use this resource to train, integrate or deploy a machine learning model or an LLM
New
- 450 downloads
- 120 likes
- 116 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install ml-engineering-agentWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThis subagent works with PyTorch, TensorFlow or JAX, sets up a RAG pipeline or LoRA fine-tuning, then tracks experiments with MLflow or W&B and prepares model serving. You get training code and a deployment setup.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: deep learning frameworks (PyTorch, TensorFlow, JAX, Hugging Face)
- SKILL.md: LLM integration, RAG and LoRA fine-tuning
- SKILL.md: MLOps (experiment tracking, model serving, monitoring)
Good fit for
- You want an assistant that answers from your internal documents
- You must serve a model in production and monitor its performance
Not for
Tags
- machine learning
- PyTorch
- LLM
- MLOps
About
You say
“Set up a RAG pipeline on our internal documents, with experiment tracking in MLflow.”
Skill published by travisjneuman under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to train, integrate or deploy a machine learning model or an LLM
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md1.6 KB
Origin and licence
Listed unmodified
- Author
- travisjneuman
- Source
- github.com/travisjneuman/.claude/tree/80adced2f6fc0cb54fadb0fd6f0d7429d1f84bd7/skills/agent-ml-engineer
- Licence
- MIT
Notice
« agent-ml-engineer » (travisjneuman, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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