hops-reqs
OfficialDesign a specification for an ML system, streamline your ML workflow.
Software Engineering#feature engineering#training pipelines#ML workflow#ML system specification#inference pipelines
Authorlogicalclocks
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the challenge of defining a comprehensive ML system specification, simplifying the process of creating and implementing feature, training, and inference pipelines.
Core Features & Use Cases
- System Specification: Decompose the ML system into feature, training, and inference pipelines, facilitating a structured development process.
- Feature and Training Pipelines: Identify and manage data sources, feature engineering, and model training steps.
- Inference Pipelines: Define batch or online inference systems for model deployment and real-time predictions.
- Use Case: For a project manager seeking to create a robust ML system, this Skill generates a detailed specification that outlines the system's components and their interdependencies.
Quick Start
Invoke the hops-reqs skill to initiate the process of designing your ML system specification.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: hops-reqs Download link: https://github.com/logicalclocks/hopsworks-api/archive/main.zip#hops-reqs Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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