A professional toolkit for preparing MLOps projects for seamless community collaboration and open-source distribution.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mlops-collaboration-cn
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mlops-collaboration-cn using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is MLOps Collaboration?
MLOps Collaboration is designed to transform raw codebases into community-ready repositories. This skill provides the essential structure required for high-quality open-source participation, ensuring that every project utilizes standardized documentation, governance files, and development environments. By incorporating these Openclaw Skills into your workflow, you bridge the gap between isolated development and professional, collaborative engineering.
The tool focuses on removing the friction of project setup by providing battle-tested templates for READMEs and Dev Containers. It empowers developers to maintain high standards of project health through automated checklists and clear versioning protocols, making it easier for others to contribute and use the software.
MLOps Collaboration Use Cases
- Preparing a private MLOps project for public open-source release.
- Standardizing documentation across a team's repository portfolio.
- Automating the creation of development environments for new contributors.
- Implementing a consistent release and versioning strategy for software packages.
How MLOps Collaboration Works
- Deploy the professional README template to provide immediate clarity on project purpose and installation.
- Generate a suite of required community files including LICENSE and CONTRIBUTING guidelines to ensure legal and behavioral standards.
- Configure a VS Code Dev Container image to provide a consistent, containerized environment for all developers.
- Apply semantic versioning and release checklists to manage project evolution and maintain historical transparency.
MLOps Collaboration Setup
To begin using this skill within your project environment, follow these initialization steps:
# Copy the standardized README template
cp references/README-template.md ./README.md
# Initialize essential community and governance files
touch LICENSE CODE_OF_CONDUCT.md CONTRIBUTING.md CHANGELOG.md
# Create the development container configuration
mkdir -p .devcontainer
After file creation, update the pyproject.toml and branch protection settings in your repository hosting provider.
MLOps Collaboration Data Schema & Taxonomy
The skill organizes project metadata and collaboration structures using the following schema:
| Component | File/Location | Purpose |
|---|---|---|
| Documentation | README.md |
Central project hub with badges and quick start guides |
| Governance | CONTRIBUTING.md |
Detailed instructions for external contributors |
| Environment | .devcontainer/ |
JSON configuration for containerized development environments |
| History | CHANGELOG.md |
Structured record of all versioned changes and bug fixes |
| Versioning | pyproject.toml |
Source of truth for semantic versioning (vX.Y.Z) |
MLOps Collaboration Advanced Features
- Integrated Dev Container support featuring astral-sh/uv for high-performance Python package management.
- Pre-defined semantic versioning workflows (Patch, Minor, Major) for consistent release cycles.
- Automated badge support for PyPI, CI/CD status, and Licensing.
- Built-in release checklists that synchronize Git tags with GitHub Releases for professional distribution through Openclaw Skills.
SKILL.md
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