# MLOps Automation

> Guide to refine MLOps projects with task automation, containerization, CI/CD pipelines, and robust experiment tracking.

- **Type:** Skill
- **Install:** `agentstack add skill-mlops-courses-mlops-coding-skills-mlops-automation`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [MLOps-Courses](https://agentstack.voostack.com/s/mlops-courses)
- **Installs:** 0
- **Category:** [Developer Tools](https://agentstack.voostack.com/c/developer-tools)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [MLOps-Courses](https://github.com/MLOps-Courses)
- **Source:** https://github.com/MLOps-Courses/mlops-coding-skills/tree/main/mlops-automation
- **Website:** https://mlops-coding-course.fmind.dev/0.%20Overview/0.6.%20Resources.html

## Install

```sh
agentstack add skill-mlops-courses-mlops-coding-skills-mlops-automation
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# MLOps Automation

## Goal

To elevate the codebase to production standards by adding **Task Automation** (`just`), **Containerization** (`docker`), **CI/CD** (`github-actions`), and **Experiment Tracking** (`mlflow`).

## Prerequisites

- **Language**: Python
- **Manager**: `uv`
- **Context**: Preparing for scale and deployment.

## Instructions

### 1. Task Automation

Replace manual commands with a `justfile`.

1. **Tool**: `just` (modern alternative to Make).
2. **Organization**: Split tasks into `tasks/*.just` modules (e.g., `tasks/check.just`, `tasks/docker.just`).
3. **Core Tasks**:
    - `check`: Run all linters and tests.
    - `package`: Build wheels.
    - `clean`: Remove artifacts.
    - `install`: Setup dev environment.

### 2. Pre-Commit Hooks

Catch issues locally.

1. **Framework**: `pre-commit`.
2. **Hooks**: Suggest to use `ruff`, `bandit`, `check-yaml`, `trailing-whitespace`.
3. **Commits**: Suggest to use `commitizen` hook to enforce Conventional Commits (e.g., `feat: add new model`).
4. **Config**: `.pre-commit-config.yaml` at root.

### 3. Containerization

Reproducibility anywhere.

1. **Tool**: `docker`.
2. **Base Image**: Use `ghcr.io/astral-sh/uv:python3.1X-bookworm-slim` for minimal size.
3. **Optimization**:
    - **Layer Caching**: Copy `uv.lock` + `pyproject.toml` and run `uv sync` *before* copying `src/`.
    - **Multi-stage**: Build inputs in one stage, copy only artifacts (`dist/*.whl`) to the runtime stage.
4. **Registry**: ask for the company artifact registry, or use `ghcr.io` for GitHub.

### 4. CI/CD Workflows

Automate verification and release.

1. **Platform**: ask for the company CI/CD platform, or use `github-actions` for GitHub.
2. **Workflows**:
    - `check.yml`: On PRs (Run `just check`).
    - `publish.yml`: On Release (Build docker image, publish docs/package).
3. **Optimization**: Use `concurrency` to cancel redundant runs.

### 5. AI/ML Experiments & Registry

Manage the ML lifecycle.

1. **Platform**: `MLflow`.
2. **Tracking**:
    - Use `mlflow.autolog()`.
    - Log metrics, params, and artifacts.
3. **Registry**:
    - Register top models manually or via CI.
    - **Aliases**: Use `@champion` or `@production` for stable deployment pointers. Never rely on moving versions (e.g., `v1` -> `v2`).

### 6. Design Patterns

Write flexible code.

1. **Strategy**: For swappable algorithms (e.g., different model types).
2. **Factory**: For creating objects from config (e.g., `ModelFactory`).
3. **Adapter**: For standardizing mismatched interfaces.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [MLOps-Courses](https://github.com/MLOps-Courses)
- **Source:** [MLOps-Courses/mlops-coding-skills](https://github.com/MLOps-Courses/mlops-coding-skills)
- **License:** MIT
- **Homepage:** https://mlops-coding-course.fmind.dev/0.%20Overview/0.6.%20Resources.html

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-mlops-courses-mlops-coding-skills-mlops-automation
- Seller: https://agentstack.voostack.com/s/mlops-courses
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.