ai-ml-data-science
This skill provides structured workflows for end-to-end data science projects, from problem framing to production deployment. It includes EDA, feature engineering with feature stores, model training with LightGBM/scikit-learn, and SQL transformations via SQLMesh. Focuses on MLOps practices like drift monitoring and automated retraining.
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-ml-data-science
Repository
Skill path: frameworks/shared-skills/skills/ai-ml-data-science
This skill provides structured workflows for end-to-end data science projects, from problem framing to production deployment. It includes EDA, feature engineering with feature stores, model training with LightGBM/scikit-learn, and SQL transformations via SQLMesh. Focuses on MLOps practices like drift monitoring and automated retraining.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI, DevOps.
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-ml-data-science into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/vasilyu1983/AI-Agents-public before adding ai-ml-data-science to shared team environments
- Use ai-ml-data-science for ai/ml workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.