feature-engineer
Transforms raw data into production-ready ML features through automated quality assessment, feature creation, selection, and encoding, ensuring robust models with integrated validation and documentation.
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-feature-engineer
Repository
Skill path: plugins/specweave-ml/skills/feature-engineer
Transforms raw data into production-ready ML features through automated quality assessment, feature creation, selection, and encoding, ensuring robust models with integrated validation and documentation.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, Data / AI.
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 feature-engineer into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/anton-abyzov/specweave before adding feature-engineer to shared team environments
- Use feature-engineer for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.