machine-learning-ops-ml-pipeline
✓Design and implement a complete ML pipeline for: $ARGUMENTS
Installation
SKILL.md
This workflow orchestrates multiple specialized agents to build a production-ready ML pipeline following modern MLOps best practices. The approach emphasizes:
The multi-agent approach ensures each aspect is handled by domain experts:
subagenttype: data-engineer prompt: | Analyze and design data pipeline for ML system with requirements: $ARGUMENTS
Design and implement a complete ML pipeline for: $ARGUMENTS Source: sickn33/antigravity-awesome-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill machine-learning-ops-ml-pipeline- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is machine-learning-ops-ml-pipeline?
Design and implement a complete ML pipeline for: $ARGUMENTS Source: sickn33/antigravity-awesome-skills.
How do I install machine-learning-ops-ml-pipeline?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill machine-learning-ops-ml-pipeline Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/sickn33/antigravity-awesome-skills
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01