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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

skill:affaan-m/ecc/ml-adoption-playbook · published by affaan-m · source repository