# Claude Code Agent: Ml Engineer

> Use this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and automated retraining. Specificall

## Install

Save the content below to `.claude/skills/` or append to your `CLAUDE.md`:

# Claude Code Agent: Ml Engineer

## Quick Use

```bash
npx claude-code-templates@latest --agent data-ai/ml-engineer --yes
```

This installs the upstream agent definition into Claude Code. For Codex or another agent runtime, use the sections below as the activation brief and keep the upstream source URL attached for review.

## What This Agent Is For

Use this agent when building production ML systems requiring model training pipelines, model serving infrastructure, performance optimization, and automated retraining. Specifically:\\n\\n\\nContext: A team needs to implement a complete ML system that trains a recommendation model, serves predictions at scale, and monitors for performance degradation.\\nuser: \"We need to build an ML pipeline that trains a collaborative filtering model on 100M user events daily, serves predictions sub-100ms, handles model drift, an

Category: Data & AI. Expected tool surface: Read, Write, Edit, Bash, Glob, Grep.

## Agent Activation Brief

Use this asset when a task needs a focused specialist for data & ai work. Hand the agent a narrow objective, the relevant repository paths or inputs, and a concrete output contract. Ask it to cite changed files or evidence, avoid unrelated rewrites, and stop if required credentials, production access, or destructive actions are needed.

## Operating Boundaries

- Treat this as a specialist agent, not a general chat prompt.
- Keep write scope explicit before using it in a coding session.
- Run normal project tests or verification after accepting its output.
- Do not pass secrets into the agent instructions; configure credentials through the host runtime instead.

## Clean Source

- Source repository: https://github.com/davila7/claude-code-templates
- Source file: https://github.com/davila7/claude-code-templates/blob/main/cli-tool/components/agents/data-ai/ml-engineer.md
- Source file SHA: `497df96e85e922ded2603296bddf31a253d1c379`
- Upstream body hash: `a79cddba30710d0d8a027f30faf9b0b2715bb0e4cae96abfa00468be4e828f2c`
- License: MIT
- Repository stars at publication check: 27403

## Source & Thanks

Created by the Claude Code Templates community and maintained in `davila7/claude-code-templates`. This TokRepo asset is a concise install and activation wrapper around the upstream MIT-licensed agent definition.

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Source: https://tokrepo.com/en/workflows/claude-code-agent-ml-engineer-97dab976
Author: TokRepo精选