📋 Ml Engineer
Implement ML pipelines, model serving, and feature engineering. Use for ML model integration or production deployment.
npx playbooks add skill htlin222/dotfiles --skill ml-engineer
About Ml Engineer
Implement ML pipelines, model serving, and feature engineering. Use for ML model integration or production deployment.
At 16 words, this compact prompt gives your agent specialized developer workflow expertise with structured patterns and output formats. Install via CLI or copy the prompt below.
Use Cases
- Streamlining git workflows and commit conventions
- Setting up CI/CD pipelines and deployment scripts
- Managing monorepos and multi-package projects
- Automating release notes and changelogs
Example Prompts
System Prompt (16 words)
Implement ML pipelines, model serving, and feature engineering. Use for ML model integration or production deployment.
Frequently Asked Questions
What is Ml Engineer?
Ml Engineer is a free developer workflow skill for AI coding agents. Implement ML pipelines, model serving, and feature engineering. Use for ML model integration or production deployment.. It provides a specialized system prompt that configures your agent with developer workflow expertise.
How do I use Ml Engineer with Claude Code?
Run npx playbooks add skill htlin222/dotfiles --skill ml-engineer in your terminal to install Ml Engineer into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Ml Engineer?
Ml Engineer is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Ml Engineer free to use?
Yes, Ml Engineer is completely free and open source. The full source is available on GitHub at https://github.com/htlin222/dotfiles/tree/main/claude.symlink/skills/ml-engineer. You only need a subscription to the AI agent you use it with.
