ml-pipeline-orchestrator
Orchestrates complete machine learning pipelines using SpecWeave's structured approach, transforming ML development into disciplined increments with full traceability from data preprocessing to model deployment.
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-pipeline-orchestrator
Repository
Skill path: plugins/specweave-ml/skills/ml-pipeline-orchestrator
Orchestrates complete machine learning pipelines using SpecWeave's structured approach, transforming ML development into disciplined increments with full traceability from data preprocessing to model deployment.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Full Stack, DevOps, 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 ml-pipeline-orchestrator into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/anton-abyzov/specweave before adding ml-pipeline-orchestrator to shared team environments
- Use ml-pipeline-orchestrator for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.