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50 AI Skills apps to use instead, best rated first.
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About ml-adoption-playbook

ml-adoption-playbook
End-to-end methodology for AI agents and software engineers
ml-adoption-playbook is an agent skill from the ECC collection by affaan-m, listed on skills.sh. It is a method for adding machine learning to an existing software project that was not built around it. It helps an agent or engineer move from a feature request to a working model, bridging ordinary software engineering and MLOps. The method begins with problem framing and feasibility, which asks whether a simple heuristic such as a rule or a regular expression could solve the problem first, defines the business metric the model should move, and sets a mistake budget for what a bad prediction looks like and how the system should handle it. Later phases cover data readiness, how the model is decoupled from the rest of the system, training and integration. It applies when a user asks to add an algorithm or machine learning to a codebase, plans a recommendation, classification or forecasting model, or wants an agent to build, train and deploy an ML component in stages. 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.
- Price
- Free
- Made by
- affaan-m
- Category
- AI Skills
- Website
- github.com/affaan-m/ecc/ml-adoption-playbook
