mle-workflow
Production machine-learning engineering workflow for data contracts
by affaan-mFree
Description
mle-workflow is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It turns model work into a production machine learning system with clear data contracts, repeatable training, measurable quality gates, deployable artifacts and operational monitoring. It covers planning or reviewing a production ML feature such as a ranking system, recommender, classifier, embedding workflow or forecasting pipeline, turning notebook code into reusable training, evaluation, batch and online inference pipelines, and designing promotion criteria, offline and online evaluation, experiment tracking and rollback paths. It also helps debug failures from data drift, label leakage, stale features, artifact mismatch and inconsistent training and serving logic, and it adds monitoring, canary rollout, shadow traffic and post-deploy checks. The listing stresses that the agent should use only the parts that fit the system in front of it, since the same architecture does not suit every kind of model. A skill is a SKILL.md file of instructions that an AI agent loads when a task calls for it. It is free and open source, and the skills.sh listing shows all three security audits passing.…
Highlights
- Data contracts and repeatable training
- Evaluation gates and rollback paths
- Canary rollout and shadow traffic
- Debugging drift, leakage and mismatch
Ratings & Reviews
No ratings yet
Be the first to rate mle-workflow.
People also visit
mle-workflow FAQ
What does the mle-workflow skill cover?
Taking a model from notebook to production: data contracts, training, evaluation, deployment, monitoring and rollback.
What kinds of ML systems does it suit?
Ranking, search, recommendations, classifiers, forecasting, embeddings, LLM workflows, anomaly detection and batch analytics, according to the listing.
Does it push one architecture on every project?
No. The skill says to use only the lanes that fit the system.
How do I install it?
Run: npx skills add https://github.com/affaan-m/ecc --skill mle-workflow
Is it free?
Yes. It is free and open source.
Are there security findings?
The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.
What are the best mle-workflow alternatives?
Popular alternatives to mle-workflow include ml-adoption-playbook, blogwatcher and canary-watch. See all mle-workflow alternatives