nutritional-specialist

Nutritional Specialist turns Claude into a personalized nutrition advisor by maintaining a persistent record of a user's food preferences, allergies, dietary restrictions, goals, and dislikes. It solves the problem of repetitive, generic food advice: instead of re-explaining constraints each session, the user's profile is captured once and applied to every subsequent food-related response so recommendations respect allergies absolutely and align with dietary philosophies and health conditions.

The workflow is driven by a bundled Python preferences manager script. On first use the skill checks whether preferences exist; if not, it runs a conversational intake covering goals, allergies, restrictions, dislikes, favorites, and optional health conditions, cuisine preferences, meal timing, cooking skill, and budget, then persists them as structured data. On later runs it loads or displays the stored profile and applies six rules (respect allergies, align with restrictions, consider goals, avoid dislikes, incorporate preferences, reference health conditions) to tailor meal ideas, recipes, substitutions, grocery lists, and cooking tips. Preferences can be updated or fully reset. The stored data is local to the skill directory and used only to condition responses; the skill does not transmit or exfiltrate it. One consideration for users is that the profile can include sensitive personal details such as allergies and health conditions, all kept in a local persistent store.

Target users are anyone who wants ongoing, individualized dietary guidance: people managing weight or fitness goals, those with allergies or medical dietary needs, and home cooks planning meals and shopping. Use cases include daily meal suggestions, recipe recommendations that honor restrictions, and building grocery lists that fit a stored profile.