mlops-dag-builder
This skill designs and implements platform-agnostic MLOps pipeline architectures using DAG orchestrators like Airflow or Dagster, focusing on workflow automation, CI/CD for ML, and production-ready deployment patterns.
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-mlops-dag-builder
Repository
Skill path: plugins/specweave-ml/skills/mlops-dag-builder
This skill designs and implements platform-agnostic MLOps pipeline architectures using DAG orchestrators like Airflow or Dagster, focusing on workflow automation, CI/CD for ML, and production-ready deployment patterns.
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 mlops-dag-builder into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/anton-abyzov/specweave before adding mlops-dag-builder to shared team environments
- Use mlops-dag-builder for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.