ai-mlops
Provides concrete patterns for deploying ML models to production, including data ingestion with dlt, batch/API deployment, drift detection, and incident response. Includes templates for common tasks and clear decision trees for choosing appropriate strategies. Covers both traditional ML and LLM/RAG security considerations.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install vasilyu1983-ai-agents-public-ai-mlops
Repository
Skill path: frameworks/shared-skills/skills/ai-mlops
Provides concrete patterns for deploying ML models to production, including data ingestion with dlt, batch/API deployment, drift detection, and incident response. Includes templates for common tasks and clear decision trees for choosing appropriate strategies. Covers both traditional ML and LLM/RAG security considerations.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, Backend, DevOps, Security.
Target audience: AI/ML teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: vasilyu1983.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ai-mlops into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/vasilyu1983/AI-Agents-public before adding ai-mlops to shared team environments
- Use ai-mlops for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.