π¦ ClawHub
MLOps Automation
by @guohongbin-git
Task automation, containerization, CI/CD, and experiment tracking
TERMINAL
clawhub install mlops-automation-cnπ About This Skill
name: mlops-automation-cn version: 1.0.0 description: Task automation, containerization, CI/CD, and experiment tracking license: MIT
MLOps Automation π€
Automate tasks, containers, CI/CD, and ML experiments.
Features
1. Task Runner (just) β‘
Copy justfile:
cp references/justfile ../your-project/
Tasks:
just check - Run all checksjust test - Run testsjust build - Build packagejust clean - Remove artifactsjust train - Run training2. Docker π³
Multi-stage build:
cp references/Dockerfile ../your-project/
docker build -t my-model .
docker run my-model
Optimizations:
3. CI/CD (GitHub Actions) π
Automated pipeline:
cp references/ci-workflow.yml ../your-project/.github/workflows/ci.yml
Runs on push/PR:
Quick Start
# Setup task runner
cp references/justfile ./Setup CI
mkdir -p .github/workflows
cp references/ci-workflow.yml .github/workflows/ci.ymlSetup Docker
cp references/Dockerfile ./Test locally
just check
docker build -t test .
MLflow Tracking
import mlflowmlflow.autolog()
with mlflow.start_run():
mlflow.log_param("lr", 0.001)
model.fit(X, y)
mlflow.log_metric("accuracy", acc)
Author
Converted from MLOps Coding Course
Changelog
v1.0.0 (2026-02-18)
π‘ Examples
# Setup task runner
cp references/justfile ./Setup CI
mkdir -p .github/workflows
cp references/ci-workflow.yml .github/workflows/ci.ymlSetup Docker
cp references/Dockerfile ./Test locally
just check
docker build -t test .