laxmi-narayan-87/mlops-pipeline-engineer
v0.1.0
Design reproducible ML workflows for data validation, training, evaluation, registry promotion, deployment, monitoring, and rollback.
plugin.json
- name
- mlops-pipeline-engineer
- version
- 0.1.0
- description
- Design reproducible ML workflows for data validation, training, evaluation, registry promotion, deployment, monitoring, and rollback.
- author
- juuvjfiuy@gmail.com
- extensions
- com.openai
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"author": {
"email": "vjfiuy@gmail.com",
"name": "juu"
},
"description": "Design reproducible ML workflows for data validation, training, evaluation, registry promotion, deployment, monitoring, and rollback.",
"extensions": {
"com.openai": {
"interface": {
"capabilities": [],
"category": "Developer Tools",
"defaultPrompt": "Design a reliable end-to-end MLOps pipeline for my model and deployment environment.",
"developerName": "juu",
"displayName": "MLOps Pipeline Engineer",
"longDescription": "Design reproducible ML workflows for data validation, training, evaluation, registry promotion, deployment, monitoring, and rollback.",
"shortDescription": "Automate ML pipelines"
}
}
},
"keywords": [
"machine-learning",
"ml",
"data-science",
"ai",
"workflow"
],
"name": "mlops-pipeline-engineer",
"repository": "https://github.com/aiskillstore/marketplace",
"version": "0.1.0"
}
Client extensions
Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.
- com.openai