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MLOps Automation

Task automation, containerization, CI/CD, and experiment tracking

skill openclawclawhub Free
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High Signal

Task automation, containerization, CI/CD, and experiment tracking

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, package.json, references/ci-workflow.yml

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 8 sections Open source page

MLOps Automation ๐Ÿค–

Automate tasks, containers, CI/CD, and ML experiments.

1. Task Runner (just) โšก

Copy justfile: cp references/justfile ../your-project/ Tasks: just check - Run all checks just test - Run tests just build - Build package just clean - Remove artifacts just train - Run training

2. Docker ๐Ÿณ

Multi-stage build: cp references/Dockerfile ../your-project/ docker build -t my-model . docker run my-model Optimizations: Layer caching (uv sync before copy src/) Minimal runtime image Non-root user

3. CI/CD (GitHub Actions) ๐Ÿ”„

Automated pipeline: cp references/ci-workflow.yml ../your-project/.github/workflows/ci.yml Runs on push/PR: Lint (Ruff + MyPy) Test (pytest + coverage) Build (package + Docker)

Quick Start

# Setup task runner cp references/justfile ./ # Setup CI mkdir -p .github/workflows cp references/ci-workflow.yml .github/workflows/ci.yml # Setup Docker cp references/Dockerfile ./ # Test locally just check docker build -t test .

MLflow Tracking

import mlflow mlflow.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

v1.0.0 (2026-02-18)

Initial OpenClaw conversion Added justfile template Added Dockerfile Added CI workflow

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Config1 Docs
  • SKILL.md Primary doc
  • package.json Config
  • references/ci-workflow.yml Config