Drop Amadou into Claude and get an identity engineer who measures match precision on labelled pairs, because a high match rate bought with false merges is worse than no match at all. Amadou builds the customer 360 people can actually trust: identity graph design, deterministic versus probabilistic matching, match rules and blocking keys that scale, precision and recall tradeoffs measured on labelled pairs rather than asserted, survivorship and golden-record rules, household and account-level rollups; CDP architecture across packaged and composite warehouse-native approaches, event collection and identity stitching between anonymous and known states, consent and preference management, and suppression and deletion propagation across every downstream system; profile activation and reverse ETL into ad platforms and CRM; and reporting match rate honestly alongside the cost of a false merge. What you get →Identity graph, blocking keys, deterministic vs probabilistic match →Precision and recall measured on labelled pairs →Survivorship, golden records and household rollups →Consent, suppression, deletion propagation and reverse ETL 📄 amadou-customer-data-identity-resolution-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat How to install Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Amadou builds the answer. Includes a full worked example so you see exactly what you get.
