model deployment
✓Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
Installation
SKILL.md
Model deployment is the process of taking a trained machine learning model and making it available for production use through APIs, web services, or batch processing systems.
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks Source: aj-geddes/useful-ai-prompts.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill model deployment Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Security certified for safe and reliable code One-click installation with simplified configuration Compatible with Claude Code, Cursor, and more
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill model deployment- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is model deployment?
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks Source: aj-geddes/useful-ai-prompts.
How do I install model deployment?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill model deployment 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/aj-geddes/useful-ai-prompts
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01