Coordinates specialists across a 14-cycle ML pipeline from discovery to sunset.
npx skills add https://github.com/infantesromeroadrian/arca-agent --skill ml-new
Please help me install this Agent Skill. Skill: ml-new Source: https://github.com/infantesromeroadrian/arca-agent/tree/main/template/skills/ml-new Command: npx skills add https://github.com/infantesromeroadrian/arca-agent --skill ml-new
This Skill simplifies the process of initiating a complete 14-cycle Machine Learning pipeline, ensuring every step from Discovery to Sunset is executed efficiently.
Initiate a new Machine Learning project with 'start a new ML project for $argument' using the /ml-new command.
High-intent search queries and answers about installing and using this skill.
To start a machine learning pipeline, use the /ml-new command with the invocation phrase to trigger a comprehensive 14-cycle lifecycle workflow covering discovery through sunset.
A 14-cycle machine learning pipeline is a structured project lifecycle managing sequential stages from initial discovery and data preparation to final deployment and sunset procedures.
Yes, the pipeline orchestrates specialist collaboration by coordinating input from diverse domain experts across data processing, architecture, and ML fundamentals throughout the project.
Yes, the pipeline explicitly includes cycles for feature engineering, design, development, testing, and deployment alongside rigorous quality control and robust documentation requirements.
The best way to manage an end-to-end ML project lifecycle is triggering a structured 14-cycle pipeline that enforces planning, data preparation, and sunset procedures across specialists.
No specific dependencies are required to run this machine learning pipeline workflow, as it operates independently using provided scripts and reference components for execution.
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