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fmind/MLOps Collaboration

Name: MLOps Collaboration
Author: fmind

.gemini/skills/MLOps Collaboration/SKILL.md

npx skillsauth add fmind/mlops-python-package MLOps Collaboration

Clean

TrivyContainer and dependency vulnerability scanner

Clean

SemgrepStatic code analysis for vulnerabilities

Clean

mcp-scan (Snyk)Model Context Protocol security validation

Skipped

Snyk (dep)Open source security scanning

Skipped

Socket.devSupply chain security analysis

Skipped

VirusTotalMulti-engine malware detection

Skipped

CrowdStrikeAdvanced threat intelligence

Skipped

OSV-ScannerOpen Source Vulnerability database check

Skipped

OWASP Dep-Check

MLOps Collaboration

Goal

To transform a private project into a public, collaborative resource by establishing Governance (License, Code of Conduct), Documentation (README, Contributing), Standardization (Templates, Workstations), and Release Management.

Prerequisites

Language: Python
Platform: GitHub
Context: Open sourcing or team collaboration.

Instructions

1. Repository Governance

Set the rules of engagement.

Code of Conduct: Add CODE_OF_CONDUCT.md to foster a safe community.
Protection: Protect the main branch (require PRs, status checks).
Review: Automate preliminary reviews with tools like Gemini Code Assist (.gemini/config.yaml).
Ignore: Comprehensive .gitignore (exclude secrets, data, venvs).

2. Comprehensive Documentation

Make the project usable and understandable.

README.md: The landing page (Badges, Hook, Quickstart).
MkDocs: Use for full documentation sites (API ref, tutorials) when README.md gets too long.
CONTRIBUTING.md: Guide for developers (env setup, PR process, testing standards).
CHANGELOG.md: Track version history (use Keep a Changelog format).

3. Standardization & Workstations

Eliminate "it works on my machine".

Templates: Use cookiecutter for scaffolding and cruft update to keep projects synced.
Workstations: Add .devcontainer/devcontainer.json.
- Define Docker image, extensions, and settings.
- Enable GitHub Codespaces support.

4. Release Management

Ship with confidence.

Versioning: Follow SemVer (MAJOR.MINOR.PATCH) and Keep a Changelog.
Workflows:
- GitHub Flow: Small teams, continuous delivery (main is stable).
- Git Flow: Scheduled releases (develop + release branches).
- Forking: Open source, distributed contributors.
Process: Bump version -> Update Changelog -> Tag -> Release.

Self-Correction Checklist

[ ] License: Is a LICENSE file present?
[ ] Readme: Does README.md have installation instructions?
[ ] Contributing: Is CONTRIBUTING.md clear?
[ ] Devcontainer: Does .devcontainer/devcontainer.json exist?
[ ] SemVer: Are releases using semantic versioning?

fmind/MLOps Collaboration

.gemini/skills/MLOps Collaboration/SKILL.md

Guide to prepare MLOps projects for sharing, collaboration, and community engagement.

1,402 stars

documentation

Updated Apr 5, 2026

$ install --global

skillsauth

npx skillsauth add fmind/mlops-python-package MLOps Collaboration

Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.

Security Scan Results

3 of 9 scanners reported clean

Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.

Scanners Passed

Scanners in report

Clean

TrivyContainer and dependency vulnerability scanner

95%

Clean

SemgrepStatic code analysis for vulnerabilities

95%

Clean

mcp-scan (Snyk)Model Context Protocol security validation

95%

Skipped

Snyk (dep)Open source security scanning

50%

Skipped

Socket.devSupply chain security analysis

50%

Skipped

VirusTotalMulti-engine malware detection

50%

Skipped

CrowdStrikeAdvanced threat intelligence

50%

Skipped

OSV-ScannerOpen Source Vulnerability database check

50%

Skipped

OWASP Dep-Check

50%

Last scanned: Apr 5, 2026, 2:01 AM4.1s1 file scanned

SKILL.md

name:: MLOps Collaboration
description:: Guide to prepare MLOps projects for sharing, collaboration, and community engagement.

MLOps Collaboration

Goal

Prerequisites

Language: Python
Platform: GitHub
Context: Open sourcing or team collaboration.

Instructions

1. Repository Governance

Set the rules of engagement.

Code of Conduct: Add CODE_OF_CONDUCT.md to foster a safe community.
Protection: Protect the main branch (require PRs, status checks).
Review: Automate preliminary reviews with tools like Gemini Code Assist (.gemini/config.yaml).
Ignore: Comprehensive .gitignore (exclude secrets, data, venvs).

2. Comprehensive Documentation

Make the project usable and understandable.

README.md: The landing page (Badges, Hook, Quickstart).
MkDocs: Use for full documentation sites (API ref, tutorials) when README.md gets too long.
CONTRIBUTING.md: Guide for developers (env setup, PR process, testing standards).
CHANGELOG.md: Track version history (use Keep a Changelog format).

3. Standardization & Workstations

Eliminate "it works on my machine".

Templates: Use cookiecutter for scaffolding and cruft update to keep projects synced.
Workstations: Add .devcontainer/devcontainer.json.
- Define Docker image, extensions, and settings.
- Enable GitHub Codespaces support.

4. Release Management

Ship with confidence.

Versioning: Follow SemVer (MAJOR.MINOR.PATCH) and Keep a Changelog.
Workflows:
- GitHub Flow: Small teams, continuous delivery (main is stable).
- Git Flow: Scheduled releases (develop + release branches).
- Forking: Open source, distributed contributors.
Process: Bump version -> Update Changelog -> Tag -> Release.

Self-Correction Checklist

[ ] License: Is a LICENSE file present?
[ ] Readme: Does README.md have installation instructions?
[ ] Contributing: Is CONTRIBUTING.md clear?
[ ] Devcontainer: Does .devcontainer/devcontainer.json exist?
[ ] SemVer: Are releases using semantic versioning?

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Download

For Claude Desktop. Download once, then upload the file in the app — no terminal needed.

Need help? View full Cowork setup guide →

Install manually

Choose your platform

# Clone the repo
git clone https://github.com/fmind/mlops-python-package.git

# Copy into Claude Code skills folder (global)
cp -r mlops-python-package/.gemini/skills/MLOps Collaboration ~/.claude/skills/

Claude Code Skills — official skills path docs.

Repository

fmind/mlops-python-package

1,402 stars

Compatible with

Claude Code

OpenAI Codex CLI

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