conf-preference-elicitation

conf-preference-elicitation is a User interviews & surveys skill for AI agents, published by lyndonkl in the claude repository on GitHub. Skillspace rates conf-preference-elicitation D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Build a personalized preference profile from a small number of well-chosen, cluster-grounded questions instead of a long survey. Represents the person's interests as an uncertainty region over the theme map, picks the single highest-information-gain choice-based question (contrasting real talks from different clusters), balances exploiting known interests against exploring uncertain ones, deliberately injects outlier probes to fight selection bias, and stops as soon as the schedule would be stable. Also elicits the user-owned objective weights and hard constraints. Interactive — runs where it can actually ask the person. Conference-agnostic. Use to turn a theme map into a preference profile, to decide what to ask a conference attendee, or to elicit scheduling priorities. Trigger keywords - preference elicitation, ask few questions, information gain, choice-based questions, selection bias probe, objective weights, attendee preferences.

Grade

D

Quality

65 / 100

Safety

Passed

GitHub stars

133

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