ml-deployment-helper
This skill prepares machine learning models for production deployment by generating containerized APIs, batch processing systems, and monitoring infrastructure with A/B testing capabilities, ensuring models are production-ready with versioning and rollback support.
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 anton-abyzov-specweave-ml-deployment-helper
Repository
Skill path: plugins/specweave-ml/skills/ml-deployment-helper
This skill prepares machine learning models for production deployment by generating containerized APIs, batch processing systems, and monitoring infrastructure with A/B testing capabilities, ensuring models are production-ready with versioning and rollback support.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, DevOps, Data / AI, Testing.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: anton-abyzov.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install ml-deployment-helper into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/anton-abyzov/specweave before adding ml-deployment-helper to shared team environments
- Use ml-deployment-helper for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.