AI & Machine Learning

ML Adoption Playbook

End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.

Publisher / source

affaan-m/ECC (found on skills.sh, an awesome list, the CSV list)

Upstream record

affaan-m/ECC

Version

Version 3

Published

2026-11-03

Publication review

Approved for publication · recorded passed scan 2026-11-03

Content fingerprint

488f83a5c3766043e0ff98466f8d5534f69863d9adebda8b4d2903f00860e312